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 .

ecobee – Senior Manager, Machine Learning – Toronto, ON

Company: ecobee

Location: Toronto, ON

Expected salary:

Job date: Sat, 01 Mar 2025 05:02:24 GMT

Job description: Hi, we are ecobee.ecobee introduced the world’s first smart Wi-Fi thermostat to help millions of consumers save money, conserve energy, and bring home automation into their lives. That was just the beginning. We continue our pursuit to create technology that brings peace of mind into the home and allows people to focus on the moments that matter most. We take pride in making a meaningful difference to the environment, all while being part of the exciting, connected home revolution.In 2021, ecobee became a subsidiary of Generac Power Systems. Generac introduced the first affordable backup generator and later created the category of automatic home standby generator. The company is committed to sustainable, cleaner energy products poised to revolutionize the 21st century electrical grid. Together, we take pride in making a meaningful difference to the environment.Why we love to do what we do:We’re helping build the world of tomorrow with solutions that improve everyday life while making a positive impact on the planet. Our products and services work in harmony to provide comfort, efficiency, and peace of mind for millions of homes and businesses. While we’re proud of what we’ve done so far, there’s still a lot we can do-and you can be part of it.Join our extraordinary team.We’re a rapidly growing global tech company headquartered in Canada, in the heart of downtown Toronto, with a satellite office in Leeds, UK (and remote ecopeeps in the US). We get to work with some of North America and UK’s leading professionals. Our colleagues are proud to bring their authentic selves to work, confident that what we do is grounded in a greater purpose. We’re always looking for curious, talented, and passionate people to join our team.Who You’ll Be LeadingAs a Senior Engineering Manager in Data Science, you will lead a cross-functional team of engineers and machine learning engineers to build innovative machine learning services that power the next generation of experiences for smart homes.With their support, you’ll be responsible for large-scale solutions that integrate products and services across our ecosystem and it will be your creative thinking in system and service design that creates unique and seamless experiences for our customers. Your expertise will help shape our future by influencing the overall strategy, driving system architecture and establishing best practices in software development.How You’ll Make an Impact

  • Foster a positive, supportive and inclusive work environment.
  • Hire and develop a team of software engineers and machine learning engineers-providing coaching, mentoring, motivation, and technical guidance.
  • Build high-quality, efficient and scalable services powered by our machine learning products.
  • Integrate data science services with products and systems across our ecosystem.
  • Lead system architecture design that reduces complexity and enables extendibility and reusability.
  • Manage the full ML development life cycle and tooling – from problem framing, data wrangling, and model development, to deployment, monitoring, and maintenance
  • Continuously improve engineering practices-balancing speed, quality, and business impact.
  • Build effective agile practices that deliver robust solutions on time and on budget.
  • Lead execution of project plans, delivery commitments and risk mitigation.
  • Help evaluate the feasibility of initiatives through quick prototyping with respect to performance, quality, time and cost.
  • Build strong partnerships with cross-functional teams and contribute to deliver unique customer experiences.

What You’ll Bring to the Table:We’ve built the following list as a guideline for some of the skills and interests of our development team – but we strive to build our team with members from a diverse background and skill set, so if any combination of these apply to you, we would love to chat!

  • A well established history of building efficient and scalable systems and services for machine learning products.
  • Experience managing a team of engineers.
  • Expertise in building low latency, high performance services.
  • Experience with implementing end-to-end scalable solutions in the cloud.
  • Excellent communication skills, both written and verbal.
  • Experience communicating with technical and non-technical stakeholders across multiple business units.
  • Experience with agile and other program management methodologies.
  • You proactively identify upcoming risks, issues and bottlenecks within your team and across departmental boundaries.
  • You thrive in a fast-paced, ambiguous, and high-stakes environment.
  • You are a smart, curious, and analytical person with a bias for action.

What Technologies We Use:

  • Python, dbtLabs, SQL, GitHub Actions (CI/CD)
  • Google Cloud Platform: BigTable, BigQuery, Pub/Sub, Dataflow, Dataproc, Airflow, Kubeflow etc.
  • Terraform, Docker, MLOps Platform (VertexAI, Sagemaker and MLFlow)

With ecobee, you’ll have the opportunity to:

  • Be part of something big: Get to work in a fresh, dynamic, and ever-growing industry.
  • Make a difference for the environment: Make a sustainable impact while on your daily job, and after it through programs like ecobee acts.
  • Expand your career: Learn with our in-house learning enablement team, and enjoy our generous professional learning budget.
  • Put people first: Benefit from competitive salaries, health benefits, and a progressive Parental Top-Up Program (75% top-up or five bonus days off).
  • Play a part on an exceptional culture: Enjoy a fun and casual workplace with an open concept office, located at Queens Quay W & York St. ecobee Leeds is based at our riverside office on the Calls.
  • Celebrate diversity: Be part of a truly welcoming workplace. We offer a mentorship program and bias training.

Are you interested? Let’s make it work.Our people are empowered to take ownership of their schedules with workflows that allow for flexible hours. Based on your job, you have an option of a office-based, fully remote, or hybrid work environment. New team members working remotely, will have all necessary equipment provided and shipped to them, and we conduct our interviews and onboarding sessions primarily through video.We’re committed to inclusion and accommodation.ecobee believes that openness and diversity make us better. We welcome applicants from all backgrounds to apply regardless of race, gender, age, religion, identity, or any other aspect which makes them unique. Accommodations can be made upon request for candidates taking part in all aspects of the selection process. Our recruitment team is happy to answer any questions candidates may have about virtual interviewing, onboarding, and future work locations.We’re up to incredible things. Come and be part of them.Discover our and learn more aboutReady to join ecobee? .Please note, ecobee does not accept unsolicited resumes.

Just Eat Takeaway – Machine Learning Engineering – Ontario

Company: Just Eat Takeaway

Location: Ontario

Expected salary:

Job date: Fri, 21 Feb 2025 05:51:32 GMT

Job description: Ready for a challenge?Then Just Eat Takeaway.com might be the place for you. We’re a leading global online food delivery platform, and our vision is to empower everyday convenience.Whether it’s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.About this roleWe are looking for engineers with passion for using machine learning to create intelligent applications. As a Machine Learning Engineer, you will be part of the Data Science team inside the Product and Tech group with +2200 brilliant developers, engineers, analysts and researchers. Honestly, it is a great environment! You will work with brilliant people with world class knowledge, and a passion for sharing knowledge and solving interesting and complex problems. You will collaboratively design, build, and productionize machine learning systems. As a member of the logistics data science team, you will develop solutions to supply and demand challenges while optimizing logistics algorithms to ensure a reliable, efficient, and profitable service. From predicting ETAs to solving pricing problems, our ML pipelines form the backbone of our delivery operations.Location: Remote CanadaReporting to: Technology Manager, Machine LearningThese are some of the key ingredients to the role:Proven academic/industry experience in Machine Learning or similar, developing technologies for forecast or logistics products.Strong coding and software engineering skills in a mainstream programming language; Python preferred.Able to work independently and solve complex problems, with a demonstrated ability to productize and deploy using cloud services (eg. Amazon Web Services, Google Cloud Platform).Strong background in working with microservices and event-driven architecture, serverless computing, and cloud architecture patterns.Familiarity with ML tools and packages like TensorFlow, pyTorch etc.Practical experience building and optimizing production quality machine learning applications making use of engineering best practices, automation and experimentation.Understanding of machine learning algorithms and ability to apply them in data driven processing systems.Ability to quickly prototype ideas / solutions, perform critical analysis, and use creative approaches for solving complex problems.Ability to collaborate closely with multi-functional teams, driving forward best practices.Clear oral and written communication.What will you bring to the table?Researching, implementing, and deploying innovative ML techniques applicable to logistics problems.Scaling and transferring novel machine learning solutions to improve our decision making processes and solutions in their different product use cases.Implementing and launching Data Science applications that coordinate with front facing solutions; constant improvements using performant and efficient ML models.Implementing tools, data pipelines, and evaluation frameworks to enable development, iteration, and launch of ML ideas within the product scope.At JET, this is on the menu:Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition.Inclusion, Diversity & BelongingNo matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We’re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.What else is cooking?Want to know more about our JETers, culture or company? Have a look at our where you can find people’s stories, blogs, podcasts and more JET morsels.

Autodesk – Intern, Physics-informed machine learning – Ontario

Company: Autodesk

Location: Ontario

Expected salary:

Job date: Sat, 22 Feb 2025 08:08:11 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 Summer 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: