Huawei – Co-op Assistant Researcher – Computer Vision and Machine Learning – Markham, ON

Company: Huawei

Location: Markham, ON

Expected salary:

Job date: Sat, 03 May 2025 00:51:39 GMT

Job description: Huawei Canada has an immediate 8/12/16-month Co-op opening for an Assistant Researcher.About the team:Founded in 2012, the Noah’s Ark lab has evolved into a prominent research organization with notable achievements in academia and industry. The lab’s mission focuses on advancing artificial intelligence and related fields to benefit the company and society. Driven by impactful, long-term projects, the aim is to enhance state-of-the-art research while integrating innovations into the company’s products and services, including LLMs, RL, NLP, computer vision, AI theory, and Autonomous driving.About the job:Research and develop state-of-the-art technology in computer vision and machine learning.Work with various types of image and video analysis, using cutting-edge deep learning and computer vision techniques.Work on optimization of algorithms and machine learning models for deployment on mobile.About the ideal candidate:Currently enrolled in senior Bachelor or Master’s in Computer Science, Electrical Engineering or a related technical field, having strong software development skills, previous internship experiences with C++ and Python development.Solid knowledge of machine learning and deep learning techniques. Experienced in applying machine learning and computer vision to real-world problems.Experience with TensorFlow, Pytorch, or other deep learning frameworks.Experience with Android development and familiar with JNI is an asset.Excellent verbal and written communication skills, self-motivated, with creative thinking and attention to details. Excellent organization skills under pressure and dynamic priorities, effectiveness in prioritizing tasks.Experience in training, regularization, generalization and evaluation of deep learning models, demonstrated through internships and projects.Experience with and knowledge of at least one deep learning architecture (Transformers, GNN, CNN, GAN, LSTM, VAE, …).Demonstrated experience with Computer Vision projects in industry.

IBM – Machine Learning Developer Intern (4 month term – Toronto or Montreal) – Quebec City, QC – Ontario

Company: IBM

Location: Quebec City, QC – Ontario

Expected salary:

Job date: Thu, 01 May 2025 22:53:37 GMT

Job description: IntroductionA career in IBM Consulting is rooted by long term relationships and close collaboration with clients across the globe.You’ll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat.Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you’ll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.About Business Unit:IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.Your role and responsibilitiesThe successful candidate will join a fast-paced consulting team, composed of Partners, Product Managers, Data Scientists, Architects and Software Engineers to conceptualize, develop and deploy machine learning solutions to solve enterprise-scale problems. As a team, we pride ourselves on tackling some of the most difficult challenges our clients face by bringing together subject matter expertise, data science, and technical execution.As an intern Machine Learning Developer, you’ll have the unique opportunity to learn and use industry-leading ML technologies on a cloud platform (e.g. IBM Cloud, Azure, AWS or Edge) by working on a project that generates value for external client engagements or internal initiatives. Depending on the projects and team’s technical requirements, you will have the opportunity to work with technologies such as:

  • Kubeflow, MLflow, Prometheus, Grafana
  • Seldon Core, Spark, Kafka
  • Pytorch, Tensorflow CUDA
  • Computer Vision, Gen AI, LLM

This position is open to applicants who reside in Toronto or Montreal and is open to applicants seeking 4 month internship work terms, commencing in September 2025. It is mandatory that all applicants are enrolled in full-time studies at a post-secondary institution and returning to full-time studies upon completion of the work term.Candidates considered for a Quebec position must be fluent in French.Required educationHigh School Diploma/GEDPreferred educationBachelor’s DegreeRequired technical and professional expertise

  • Develop and deploy machine learning models to enhance the operational efficiency and resilience of payments platforms
  • Implement predictive analytics and anomaly detection to identify and resolve issues proactively across the payments value chain
  • Build AI-driven solutions to optimize transaction routing, clearing, and settlement processes
  • Integrate machine learning models with observability tools like Splunk, Instana, or AppDynamics for enhanced monitoring and insight generation
  • Develop risk assessment algorithms to enhance the security and compliance of the payments system
  • Work with payments SRE teams to ensure seamless deployment and scaling of AIOps models
  • Align ML solutions with industry standards and regulatory compliance frameworks
  • Create data pipelines for processing real-time transactional and operational data from payments systems
  • Integrate AI solutions with payment orchestration and clearinghouse systems to improve end-to-end efficiency
  • Strong expertise in machine learning frameworks and AIOps platforms
  • Proficiency in programming languages and data processing tools
  • Hands-on experience with cloud-native platforms and containerization technologies
  • Experience with logging, monitoring, and observability tools
  • Proven experience in deploying ML models for anomaly detection, event correlation, and predictive analytics.
  • Hands-on knowledge of LLM-based systems and LLM observability/security
  • Experience with event correlation and supervised learning techniques

Preferred technical and professional experience

  • Proficiency in Python, R, or Java for AI/ML model development and testing
  • Strong data modeling skills, including the ability to design and implement normalized and denormalized schemas
  • Proficiency in encryption technologies and secure data handling, including experience with encryption protocols, data masking, and access control mechanisms
  • Experience with data integration tools and frameworks for real-time and batch data processing
  • Knowledge of cloud platforms and cloud-native database services, including serverless computing, data lakes, and containerized data workloads.
  • Strong troubleshooting skills to identify and resolve performance, integration, and data quality issues in complex data ecosystems
  • Ability to work effectively with cross-functional teams, ensuring that data solutions meet business and technical requirements

ABOUT BUSINESS UNITIBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.YOUR LIFE @ IBMIn a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.Are you ready to be an IBMer?ABOUT IBMIBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.OTHER RELEVANT JOB DETAILSMust have the ability to work in Canada without sponsorship.This role will involve working with technology that is covered by Export Regulations sanctions. If you are a Foreign National from any of the following US sanctioned countries (Cuba, Iran, North Korea, Syria, and the Crimea, Luhansk, Donetsk, Kherson, and Zaporizhia regions of Ukraine) on a work permit, you are not eligible for employment in this position.This role is posted for a potential future opportunity only. There is no existing vacancy for this role. Although we don’t have an immediate opening, we value proactive candidates like yourself who are interested in a future career with IBM. We will keep your application on file for the next 90 days and contact you if a suitable opportunity arises or if your application has expired during that period.Job TitleMachine Learning Developer Intern (4 month term – Toronto or Montreal)Job ID29532City / Township / VillageToronto, MontrealState / ProvinceQuebec, OntarioCountryCanadaWork arrangementHybridArea of workSoftware EngineeringEmployment typeIntern (Fixed Term)Contract typeInternshipPosition typeInternshipTravel requiredNo TravelCompany(0026) IBM Canada Limited – IBM Canada LimiteeShiftGeneral (daytime)Is this role a commissionable/sales incentive based position?No

Rackspace Technology – Machine Learning Architect (AWS) – Canada – Toronto, ON – Ottawa, ON

Company: Rackspace Technology

Location: Toronto, ON – Ottawa, ON

Expected salary: $153000 – 244700 per year

Job date: Fri, 25 Apr 2025 23:50:56 GMT

Job description: We are expanding our team of motivated technologists with a proven track record of delivering results in technology consulting. We are looking for a Machine Learning Architect with experience in cloud (AWS preferred) who is passionate about helping customers build AI/ML solutions at scale. Being an experienced technologist with technical depth and breadth, aided with strong interpersonal skills, you will work directly with customers as part of a delivery team, helping to enable innovation by creating state of the art Machine Learning solutions that align to business goals.This role includes responsibilities both as a Professional Services Machine Learning Architect and as a hands-on Machine Learning engineer on customer engagements.The qualified Machine Learning Architect will have demonstrated the ability to think strategically about businesses, create technical definitions around customer objectives in complex situations, develop solution strategies, motivate & mobilize resources, and deliver results. The ability to connect technology with measurable business value is a critical component to be successful in this role. We seek team members who are self-motivated, driven, collaborative, passionate about machine learning, and want to have a direct positive impact on our customer’s business. Strong communication skills and emotional intelligence are also needed to help develop a team that works with you.Work Location: Remote \nKey Responsibilities:

  • Design machine learning solutions and execute machine learning projects end to end from proof-of-concept stage to deployment in production using cloud native technologies and state of the art machine learning models.
  • Be technically focused but work directly with the business representatives/customers to understand the requirements driving the need for a solution to be developed.
  • Be responsible for all phases of the project from problem definition, data annotation, model development, model deployment to end user documentation/training.
  • Design the architecture of ML solutions on cloud platforms (AWS, Azure, GCP) including MLOPs.
  • Stay abreast of the latest developments. Read the latest published machine learning research and adapt the models to solve customer’s problems.
  • Establish credibility by demonstrating technical excellence and delivering value through solutions you build. Develop strong relationships with our customers.

Qualifications:

  • Masters with 10+ years of experience or PhD with 6+ years of experience in Machine Learning, Natural Language Processing (NLP) and Deep Learning.
  • Minimum 5+ years of experience architecting and building Machine Learning solutions.
  • Minimum 5+ years of experience with cloud platforms (AWS, GCP, Azure).
  • Experience building ML models and strong knowledge of ML techniques is required.
  • Experience with hugging face, TensorFlow/pytorch, transformer architectures, prompt engineering, agentic systems, LLMs.
  • Strong coding experience in Python and architectural patterns like microservices.
  • Solid understanding of agile methodologies and experience in planning machine learning projects from inception to production deployment.
  • Strong problem-solving skills and the ability to lead a team on “what’s next” when encountering a technical issue in a machine learning project.
  • Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.

Travel:

  • As per business requirements

\n$153,000 – $244,700 a year#LI-VM1#LI-Remote#Rackspace#LI-RackspaceAbout Rackspace TechnologyWe are the multicloud solutions experts. We combine our expertise with the world’s leading technologies – across applications, data and security – to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.More on Rackspace TechnologyThough we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know. \n

Kyndryl – Machine Learning and AI Intern – Markham, ON

Company: Kyndryl

Location: Markham, ON

Expected salary:

Job date: Sat, 26 Apr 2025 22:25:03 GMT

Job description: Who We AreAt Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.The RoleThe Role:
As a Machine Learning and Generative AI Developer Intern, you will have the exciting opportunity to contribute to the development and implementation of cutting-edge machine learning and generative artificial intelligence solutions. This internship offers a hands-on experience in a dynamic and collaborative environment, providing exposure to real-world projects with Kyndryl clients that leverage advanced algorithms to solve complex problems. You will work closely with experienced professionals, gaining valuable insights into the intersection of machine learning and generative AI.Duties and responsibilities:Algorithm Prototyping: Assist in the design and implementation of machine learning models and generative algorithms for various applications, including but not limited to image generation, natural language processing, and data synthesis.Data Preprocessing: Collaborate with the team to preprocess and clean datasets, ensuring they meet the requirements for effective model training and evaluation.Model Training and Evaluation: Participate in the training and evaluation of machine learning models, providing support in optimizing parameters and assessing model performance. Work closely with industry SMEs and clients to tune model parameters to achieve desired business outcomes.Research Support: Contribute to literature reviews and stay informed about the latest advancements in machine learning and generative AI, providing insights that can enhance project development.Code Development: Assist in coding and scripting tasks related to model development, data analysis, and experimentation, following best practices and coding standards.Collaborative Projects: Engage in cross-functional collaboration with team members, contributing ideas and solutions to address challenges in ongoing projects.Documentation: Maintain clear and comprehensive documentation of code, models, and experimental results, facilitating knowledge transfer and future reference.Who You AreWho You Are:Programming Languages: Proficiency in at least one programming language commonly used in machine learning, such as Python or R. Must be aware of Object-oriented Programming concepts.Machine Learning Frameworks: Familiarity with popular machine learning frameworks (e.g., TensorFlow, PyTorch) and their application in model development. Knowledge of finetuning open-source Language Models is a plusData Processing: Basic understanding of data preprocessing techniques and data manipulation skills. Knowledge of writing SQL / NOSQL procedures is plusProblem-solving: Strong analytical and problem-solving skills, with the ability to think critically and contribute innovative ideas to the team.Communication: Effective communication skills, both written and verbal, to articulate ideas, share findings, and collaborate with team members.Being YouDiversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way.What You Can ExpectWith state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.Get Referred!If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact’s Kyndryl email address.

Yelp – Entry Level Machine Learning Engineer (Remote – Canada) – Toronto, ON

Company: Yelp

Location: Toronto, ON

Expected salary: $85000 – 122000 per year

Job date: Tue, 15 Apr 2025 23:46:40 GMT

Job description: SummaryYelp engineering culture is driven by our : we’re a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first week, and we strive to broaden individual impact with support from managers, mentors, and teams. At the end of the day, we’re all about helping our users, growing as engineers, and having fun in a collaborative environment.At Yelp, we’re dedicated to delivering the best search results by leveraging cutting-edge techniques in machine learning-, data mining-, and backend engineering. Our engineers play a key role in improving search ranking, optimizing search data pipelines, and unlocking new search capabilities by leveraging LLMs and Yelp’s trusted business content. Their work directly impacts millions of users by enabling smarter, more intuitive search capabilities that help people discover the best local businesses with ease.The Search Quality team is looking for an ML engineer to drive system improvements through rapid prototyping, testing, and scaling the next generation of Search. This role involves researching innovative methods to further enhance the quality of our search results. You’ll work closely with driven and experienced engineers to orchestrate a seamless development, testing, and shipping experience that will help us bring our search capabilities to the next levelIf you have a passion for solving complex ranking challenges, scaling search infrastructure, and driving innovation in search relevance, we’d love to have you on board!This opportunity is fully remote and does not require you to be located in any particular area in Canada. We welcome applicants from throughout Canada. We’d love to have you apply, even if you don’t feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes.What you’ll do:

  • Conduct end-to-end analyses—from data preparation using SQL or Python, to statistical modeling, to generating and presenting business insights.
  • Work with large and complex datasets.
  • Support the development and deployment of projects involving machine learned models for offline, batch-based data products as well as models deployed to online, real-time services.
  • Productionize and automate model pipelines within Python and Java services.
  • Prototype incremental improvements to existing Search Quality ML systems as well as novel approaches with LLMs.

What it takes to succeed:

  • Strong coding skills in Python or equivalent (Java, C++).
  • Solid understanding of ML fundamentals, engineering, and infrastructure best practices.
  • The curiosity to uncover promising solutions to new problems, and the persistence to carry your ideas through to an end goal.
  • Staying up-to-date with the latest AI technologies and trends.
  • Experience with machine learning using packages such as TensorFlow, Spark MLlib, XGBoost, Sklearn, etc. is a plus.

What you’ll get:

  • Compensation range is $85,000-122,000 annually. Depending on your role and level, you may also be offered a bonus, restricted stock units, and benefits.
  • This opportunity has the option to be fully remote in all locations across Canada.
  • You can find more information about Yelp’s five star benefits

!ClosingAt Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education — and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include “Playing Well With Others” and “Authenticity.”We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, disability, or any other protected status.We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@yelp.com or 1-415-969-8488.Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.#LI-Remote

Autodesk – Intern (PhD), Physics-informed Machine Learning, Fall 2025 – Ontario

Company: Autodesk

Location: Ontario

Expected salary:

Job date: Fri, 18 Apr 2025 04:23:01 GMT

Job description: Job Requisition ID #25WD85512Position OverviewThe Simulation, Optimization and Systems (SOS) Group at Autodesk Research is looking for a passionate and skilled research intern for Fall 2025 at our Toronto office located in the MaRS Discovery District. The ideal intern will conduct research and develop prototype code to combine machine learning with computational tools for analyzing air flow and heat transfer in building environments.ResponsibilitiesResearch on energy analysis tools for natural ventilation and their parameterization using CFD simulations.Conduct original research in developing or applying novel techniques in physics-informed machine learning.Implement prototypes to test and demonstrate the ideas and methodsWork with both open-source libraries and in-house libraries to develop the prototypesWrite documentation of the work, either as academic publication or internal white paperContribute to the technical expertise of the SOS Group by conducting learning sessionsMinimum QualificationsCurrently pursuing a PhD degree in Engineering, Physics, Mathematics, Computer Science, or other related disciplinesExperience with data-driven methods in simulationExperience with development of physics simulation tools and numerical solversExperience with AI model training and ecosystems (PyTorch, TensorFlow, Flax etc)Experience and excellent knowledge of PythonExperience in publishing at top-tier conferences and journalsAbout the Canada Intern ProgramThe 2025 Canada Internship program runs for 16 weeks (September 2 – December 19, 2025). All internships are paid. As an intern, you will contribute to meaningful projects, be mentored by industry leaders, and participate in tech talks and other activities designed to support your personal and professional development. Our internships align with Autodesk’s Flexible Workplace approach, which is designed to meet the needs of our business while providing flexibility in support of office, remote and hybrid work preferences.Learn MoreAbout Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!Salary transparencySalary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience, educational level, and geographic location.Diversity & Belonging
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here:

Autodesk – Intern (PHD), Physics-informed Machine Learning – Ontario

Company: Autodesk

Location: Ontario

Expected salary:

Job date: Fri, 18 Apr 2025 07:57:45 GMT

Job description: Job Requisition ID #25WD85512Position OverviewThe Simulation, Optimization and Systems (SOS) Group at Autodesk Research is looking for a passionate and skilled research intern for Fall 2025 at our Toronto office located in the MaRS Discovery District. The ideal intern will conduct research and develop prototype code to combine machine learning with computational tools for analyzing air flow and heat transfer in building environments.ResponsibilitiesResearch on energy analysis tools for natural ventilation and their parameterization using CFD simulations.Conduct original research in developing or applying novel techniques in physics-informed machine learning.Implement prototypes to test and demonstrate the ideas and methodsWork with both open-source libraries and in-house libraries to develop the prototypesWrite documentation of the work, either as academic publication or internal white paperContribute to the technical expertise of the SOS Group by conducting learning sessionsMinimum QualificationsCurrently pursuing a PhD degree in Engineering, Physics, Mathematics, Computer Science, or other related disciplinesExperience with data-driven methods in simulationExperience with development of physics simulation tools and numerical solversExperience with AI model training and ecosystems (PyTorch, TensorFlow, Flax etc)Experience and excellent knowledge of PythonExperience in publishing at top-tier conferences and journalsLearn MoreAbout Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!Salary transparencySalary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience, educational level, and geographic location.Diversity & Belonging
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here:

Yelp – Staff Machine Learning Engineer – Content and Contributor Intelligence (Remote – Canada) – Toronto, ON

Company: Yelp

Location: Toronto, ON

Expected salary:

Job date: Sat, 29 Mar 2025 06:59:26 GMT

Job description: SummaryYelp engineering culture is driven by our : we’re a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first week, and we strive to broaden individual impact with support from managers, mentors, and teams. At the end of the day, we’re all about helping our users, growing as engineers, and having fun in a collaborative environment.Yelp’s mission of connecting people with great local businesses requires the use of cutting-edge Machine Learning (ML) and Artificial Intelligence (AI) to scale across a vast and diverse base of users and businesses spanning various geographical locations. As a Staff-level ML Engineer on the Content Contributor Intelligence team, you will help build connections across millions of users and business listings. Your work will involve using cutting-edge industry tools, including neural networks (NNs), large language models (LLMs), and various embedding techniques for text, images, and videos. Additionally, you will apply traditional ML methods such as XGBoost and linear models to enhance our systems. You’ll be responsible for turning raw data into valuable signals and building ML systems end-to-end. This includes the full ML lifecycle from training models to deploying them in production, as well as contributing to the ML platforms these models rely on.This opportunity is fully remote and does not require you to be located in any particular area in Canada. We welcome applicants from throughout Canada. We’d love to have you apply, even if you don’t feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes.What you’ll do:

  • Conduct end-to-end analyses, wrangling data via SQL or Python, to statistical modeling, to hypothesizing and presenting business ideas.
  • Mentor and guide junior engineers, fostering a culture of learning and technical excellence.
  • Work with large and complex textual and visual datasets.
  • Support the development and deployment of projects involving machine learned models for offline, batch-based data products as well as models deployed to online, real-time services.
  • Work in the contributor and visual intelligence team on text and visual understanding, along with fine tuning transformer models to derive embeddings for multiple input types
  • Productionize and automate model pipelines within Python services.
  • Drive and advocate adoption of best practices in ML development and operations, and mentor newer engineers in those practices.

What it takes to succeed:

  • Experience developing and productionizing machine learning models, particularly in neural networks and computer vision, including their supported data pipelines.
  • Experience with machine learning using packages such as PyTorch, TensorFlow, Spark MLlib, XGBoost, and Sklearn.
  • Strong coding skills in Python or equivalent (Java, C++).
  • Solid understanding of engineering and infrastructure best practices.
  • The curiosity to uncover promising solutions to new problems, and the persistence to carry your ideas through to an end goal.
  • We highly value experience of working with LLMs, utilizing LLM APIs (OpenAI, Bedrock, etc), prompt engineering and evaluation.

What you’ll get:

  • Compensation range is $135,000-274,000 annually. Depending on your role and level, you may also be offered a bonus, restricted stock units, and benefits.
  • This opportunity has the option to be fully remote in all locations across Canada.
  • You can find more information about Yelp’s five star benefits

!ClosingAt Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education — and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include “Playing Well With Others” and “Authenticity.”We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, disability, or any other protected status.We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@yelp.com or 1-415-969-8488.Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.#LI-Remote

Thumbtack – Staff Software Engineer, Machine Learning Infrastructure – Ontario

Company: Thumbtack

Location: Ontario

Expected salary:

Job date: Thu, 27 Mar 2025 08:28:45 GMT

Job description: A home is the biggest investment most people make, and yet, it doesn’t come with a manual. That’s why we’re building the only app homeowners need to effortlessly manage their homes – knowing what to do, when to do it, and who to hire. With Thumbtack, millions of people care for what matters most, and pros earn billions of dollars through our platform. And as one of the fastest-growing companies in a $600B+ industry – we must be doing something right.We are driven by a common goal and the deep satisfaction that comes from knowing our work supports local economies, helps small businesses grow, and brings homeowners peace of mind. We’re seeking people who continually put our purpose first: advocating for pros and customers, embracing change, and choosing teamwork every day.At Thumbtack, we’re creating a new era of home care. If making an impact and the chance to do good inspires you, join us. Imagine what we’ll build together.Thumbtack by the Numbers

  • Available nationwide in every U.S. county
  • Over 85 million projects started on Thumbtack
  • More than 11 million 5-star reviews and counting
  • Pros earn billions on our platform
  • 1000+ employees
  • $3.2 billion valuation (June, 2021)

About the Machine Learning Infrastructure TeamAt Thumbtack, we’re solving complex technical challenges across search, ranking, recommendations, pricing optimization, and spam detection. Our ML Infrastructure team leads the architectural vision and implementation of enterprise-wide machine learning capabilities, enabling teams to effectively experiment with and deploy ML models at scale. We’re building next-generation infrastructure that powers Thumbtack’s AI-first future. For insights into our engineering challenges, visit our .ChallengeAs a Staff ML Infrastructure Engineer, you’ll drive the technical vision and strategic direction of Thumbtack’s machine learning platform. You’ll architect solutions that democratize ML capabilities across the organization while establishing best practices and technical standards. Working closely with senior leadership, you’ll shape our technical roadmap for generative AI adoption, feature platform evolution, and ML operational excellence.Responsibilities

  • Define and drive the technical vision and architecture for Thumbtack’s next-generation ML infrastructure
  • Lead cross-functional initiatives spanning engineering, data science, and product teams to build scalable, enterprise-grade ML systems
  • Architect and oversee implementation of critical ML infrastructure components including model serving systems and RAG systems that can scale.
  • Establish technical standards and best practices for ML engineering across the organization
  • Mentor and provide technical leadership to engineering teams on ML infrastructure best practices
  • Partner with senior leadership to align ML infrastructure capabilities with business objectives

What you’ll needIf you don’t think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we’re looking for someone excited to join the team.

  • 8+ years of engineering experience with significant focus on distributed systems
  • 4+ years of hands-on experience building ML infrastructure or ML platforms at scale
  • Deep expertise in at least one major programming language; proficiency in our core stack (Go, Python) preferred
  • Proven track record of technical leadership on complex, cross-functional projects
  • Strong architectural skills with experience designing scalable, reliable distributed systems
  • Deep understanding of ML workflows, common frameworks, and operational challenges
  • Experience mentoring teams and driving engineering excellence
  • Track record of making strategic technical decisions with organization-wide impact

Bonus points if you have

  • Experience building AI platforms that support hundreds of models in production
  • Deep expertise with modern ML frameworks (PyTorch, TensorFlow) and MLOps tools
  • Experience implementing generative AI capabilities at enterprise scale
  • Track record of building high-performing technical teams
  • Expertise with cloud-native architectures and major cloud providers (AWS, GCP)
  • Experience driving technical strategy at fast-growing technology companies

Thumbtack is a virtual-first company, meaning you can live and work from any one of our approved locations across the United States, Canada or the Philippines.* Learn more about our virtual-first working model .#LI-RemoteBenefits & Perks

  • Virtual-first working model coupled with in-person events
  • 20 company-wide holidays including a week-long end-of-year company shutdown
  • Library (optional use collaboration & connection hub) in San Francisco
  • WiFi reimbursements
  • Cell phone reimbursements (North America)
  • Employee Assistance Program for mental health and well-being

Learn More About UsThumbtack embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by federal, provincial, state, or local law. We also will consider for employment qualified applicants with arrest and conviction records, consistent with applicable law.Thumbtack is committed to working with and providing reasonable accommodation to individuals with disabilities. If you would like to request a reasonable accommodation for a medical condition or disability during any part of the application process, please contact: .If you are a California resident, please review information regarding your rights under California privacy laws contained in Thumbtack’s Privacy policy available at .

Twilio – Staff, Machine Learning Engineer (L4) – Ontario

Company: Twilio

Location: Ontario

Expected salary:

Job date: Fri, 28 Feb 2025 02:54:19 GMT

Job description: See yourself at TwilioJoin the team as our next Staff Machine Learning Engineer on Twilio’s Efficiency Engineering team.Who we areAt Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant, diverse team making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.About the jobTwilio is experiencing rapid growth and is seeking a Staff Machine Learning Engineer with a strong Data Science, Machine Learning & Predictive Modeling background to expand and enhance our Efficiency Engineering team’s AI function. This team is responsible for developing cutting edge solutions leveraging AI & Data Science for external and internal customers.As a Staff Machine Learning Engineer within Efficiency Engineering, you will be instrumental in developing supervised machine learning (ML) propensity models as well as state-of-the-art GenAI/LLM-powered applications. Your solutions will cater to the dynamic needs of Twilio’s diverse verticals and our extensive customer base. This role offers an exciting opportunity to harness the power of advanced machine learning technologies to drive innovation and efficiency.As a member of this team, you will have the opportunity to work on groundbreaking projects that directly impact the efficiency and success of our customers. You will collaborate with talented professionals who are as driven and enthusiastic about AI and Machine Learning as you are. Your contributions will be crucial in shaping the future of AI at Twilio, and you will have the support and resources needed to innovate and excel.ResponsibilitiesIn this role, you’ll:

  • Develop and Deploy AI/ML Models: Build and deploy machine learning models by leveraging NLP, recommendation systems & Gen AI-powered applications, to production environments, ensuring they meet the diverse needs of Twilio’s verticals and customer base.
  • Collaborate Across Teams: Work closely with product, program, analytics, and engineering teams to implement and refine machine learning, statistical, and forecasting models that drive business outcomes.
  • Utilize Advanced Technical Stack: Leverage our technical stack, including Python, SQL, R, AWS (Sage maker, Lambda, S3, Kendra), MySQL, Air table, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Keras, to develop robust and scalable AI/ML solutions.
  • Integrate Enterprise Data Sources: Effectively utilize enterprise data sources like Salesforce and Zen desk to inform model development and enhance predictive accuracy.
  • Harness the Power of LLMs: Apply knowledge of Large Language Models (LLMs) such as OpenAI’s GPT models, Claude, Gemini, Llama, Whisper, and Groq to develop innovative Gen AI use cases and solutions.

QualificationsNot all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn’t followed a traditional path, don’t let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!Required:

  • 5+ years of applied ML engineering experience
  • Develop and Deploy AI Models: Build and deploy machine learning models leveraging NLP techniques and GenAI-powered applications, to production environments, ensuring they meet the diverse needs of Twilio’s verticals and customer base.
  • Collaborate Across Teams: Work closely with product, program, analytics, and engineering teams to implement and refine machine learning, statistical, and forecasting models that drive business outcomes.
  • Utilize Advanced Technical Stack: Leverage our technical stack, including Python, SQL, R, AWS (Sagemaker, Lambda, S3, Kendra), MySQL, Airtable, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Keras, to develop robust and scalable AI/ML solutions.
  • Integrate Enterprise Data Sources: Effectively utilize enterprise data sources like Salesforce and Zendesk to inform model development and enhance predictive accuracy.
  • Harness the Power of LLMs: Apply knowledge of Large Language Models (LLMs) such as OpenAI’s GPT models, Claude, Gemini, Llama, Whisper, and Groq to develop innovative GenAI use cases and solutions

Desired:

  • Familiarity with using LLMs (OpenAI, Claude, Gemini, Llama etc.), RAG, Agents, Model Fine-tuning, Few-shot prompting, Prompt Engineering.
  • Experience with Python-specific frameworks such as Llamaindex, Langchain, Streamlit, Gradio, FastHTML, Chainlit etc.
  • Research background & experience writing papers for top-tier peer-reviewed conferences or journals

LocationThis role will be remote based in Canada, but is only eligible to be hired in the provinces of Ontario, Alberta and British Columbia.TravelWe prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 15% travel is anticipated to help you connect in-person in a meaningful way.What We OfferThere are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.Twilio thinks big. Do you?We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That’s why we seek out colleagues who embody our values – something we call . Additionally, we empower employees to build by supporting their volunteering and donation efforts.So, if you’re ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!If this role isn’t what you’re looking for, .*Please note this role is open to candidates outside of British Columbia. The information below is provided for candidates hired in those locations only.The estimated pay ranges for this role are as follows:Based in British Columbia. : CAD 172,800.00 – CAD 216,000.00 CADThe successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.Applications for this role are intended to be accepted until June 1st, 2025 but may change based on business needs.Twilio is proud to be an equal opportunity employer. Twilio is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.Twilio is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at .Twilio is proud to be an equal opportunity employer. Twilio is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified Applicants with arrest or conviction records will be considered for Employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.Twilio is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at .