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:

Skyworks – Machine Learning – Summer/Fall Co-Op – Ottawa, ON

Company: Skyworks

Location: Ottawa, ON

Expected salary:

Job date: Wed, 12 Feb 2025 23:31:17 GMT

Job description: If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We value open communication, mutual trust, and respect. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.Requisition ID: 74514Job DescriptionMachine Learning Co-OpJob DescriptionThe Machine Learning Co-Op will work with the Analytics Team, which is focused on delivering value to the Diversified Analog Solutions Operations Team.You will architect the bridge between our SQL Decoder instance and production web interface, ensuring reliable data retrieval through RAG-enhanced queries.This is a growth-oriented internship. We prioritize curiosity and foundational programming skills over complete expertise.You will receive mentorship on integrating SQL Decoder and implementing RAG patterns.Qualifications

  • Currently pursuing an M.S. in Statistics, Math, IS, Analytics, Data Science, or related field.
  • Able to commit to the full duration onsite of the co-op opportunity (up to 6 months: June 2025 to December 2025)

Preferred Skills

  • Candidates must demonstrate proficiency in at least 3 of these core areas:
  • Building model-as-service architectures with Python web frameworks (FastAPI preferred) for model integration.
  • Hands-on with SQL Decoder or similar OSS models for natural language to SQL conversion
  • Frontend development fundamentals (JavaScript/HTML/CSS)
  • Familiarity with Hugging Face pipelines and Lang Chain for LLM workflow orchestration
  • Implementing RAG patterns with SQL Server schema context injection
  • While experience with SQL Decoder is ideal, we welcome candidates with exposure to similar NLP models through academic projects or open-source contributions.

#LI-DJ1The typical pay range for an Engineering intern across the U.S. is currently USD $26.00 – $47.50 per hour and for a Non-Engineering intern across the U.S. is currently USD $22.50 – $42.00 per hour. Starting pay will depend on level of education, the ultimate job duties and requirements, and work location. Skyworks has different pay ranges for different work locations in the U.S.Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.

Skyworks – Machine Learning – Summer/Fall Co-Op – Ottawa, ON

Company: Skyworks

Location: Ottawa, ON

Expected salary:

Job date: Thu, 13 Feb 2025 06:03:44 GMT

Job description: If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We value open communication, mutual trust, and respect. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.Requisition ID: 74514Job DescriptionMachine Learning Co-OpJob DescriptionThe Machine Learning Co-Op will work with the Analytics Team, which is focused on delivering value to the Diversified Analog Solutions Operations Team.You will architect the bridge between our SQL Decoder instance and production web interface, ensuring reliable data retrieval through RAG-enhanced queries.This is a growth-oriented internship. We prioritize curiosity and foundational programming skills over complete expertise.You will receive mentorship on integrating SQL Decoder and implementing RAG patterns.Qualifications

  • Currently pursuing an M.S. in Statistics, Math, IS, Analytics, Data Science, or related field.
  • Able to commit to the full duration onsite of the co-op opportunity (up to 6 months: June 2025 to December 2025)

Preferred Skills

  • Candidates must demonstrate proficiency in at least 3 of these core areas:
  • Building model-as-service architectures with Python web frameworks (FastAPI preferred) for model integration.
  • Hands-on with SQL Decoder or similar OSS models for natural language to SQL conversion
  • Frontend development fundamentals (JavaScript/HTML/CSS)
  • Familiarity with Hugging Face pipelines and Lang Chain for LLM workflow orchestration
  • Implementing RAG patterns with SQL Server schema context injection
  • While experience with SQL Decoder is ideal, we welcome candidates with exposure to similar NLP models through academic projects or open-source contributions.

#LI-DJ1The typical pay range for an Engineering intern across the U.S. is currently USD $26.00 – $47.50 per hour and for a Non-Engineering intern across the U.S. is currently USD $22.50 – $42.00 per hour. Starting pay will depend on level of education, the ultimate job duties and requirements, and work location. Skyworks has different pay ranges for different work locations in the U.S.Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.

Compass Group – Senior Artificial Intelligence Engineer (AI Engineer)/ Senior Machine Learning Engineer – Ontario

Company: Compass Group

Location: Ontario

Expected salary:

Job date: Fri, 31 Jan 2025 23:31:40 GMT

Job description: You might not know our name, but you know where we are. That’s because Compass Group Canada is part of a global foodservice and support services company that’s the 6th largest employer in the world, with 625,000 employees.You’ll find us in schools, colleges, hospitals, office buildings, senior living communities, tourist attractions, sports venues, remote camps and military installations and more. We’re in all major cities, at remote work sites and everywhere in between – doing business in Canada and 50+ other countries where you can learn and grow. Join us now and point your career forward!Why work with Compass Digital? We are a member of Compass Group North America the leading foodservice and support services company. We create remarkable customer experiences through the innovative design and development of technology products and services. Compass Digital began as an innovation startup and the team has since rapidly grown and now supports technology and innovation across all of North America. Compass digital is comprised of user experience designers, developers, data scientists, project managers, business analysts, marketers and technology implementation managers, all of whom look at the world from a human perspective to rethink what’s possible in the areas of technology innovation and consumer engagement within the foodservice and hospitality industries. Join us.Job SummaryWe are looking for a passionate AI Engineer to join our team at Compass Digital. You will design, develop, and maintain cutting-edge data products and AI solutions, focusing on making difficult-to-access data sources available through web scraping and document scanning. Collaborating with Data Scientists, Analytics Engineers, Front-End Engineers, ML Engineers, and AI Engineers, you will build cloud-native backend systems and infrastructure for new AI-powered applications. Your work will lay the foundations for a new product delivering Data Analytics and AI capabilities.Now, if you were to come on board as our Senior AI Engineer, we’d ask you to do the following for us:

  • Develop and maintain scalable AI applications from concept to deployment;
  • Collaborate with cross-functional teams to define, design, and ship new features;
  • Architect and implement efficient and reusable AI systems;
  • Write clean, well-documented, and maintainable code following best practices;
  • Conduct code reviews, provide constructive feedback and mentor junior team members;
  • Staying up-to-date with emerging AI technologies and industry trends to drive continuous improvement
  • Work in a dynamic, collaborative, progressive, and high-performing team
  • Interactions with multiple cross-functional teams, exposure to many components of modern data technology

Think you have what it takes to be our Senior AI Engineer? We’re committed to hiring the best talent for the role. Here’s how we’ll know you’ll be successful in the role:

  • Bachelor’s degree in a STEM field or equivalent experience
  • Strong experience with Large Language Models (LLMs)
  • 2+ years of hands-on experience in developing AI and data products
  • Proficiency with the modern data science stack, including Python, NumPy, and pandas
  • Strong cloud engineering skills with experience taking AI ideas to production
  • Experience with both SQL and NoSQL database systems and data warehouses
  • Familiarity with RESTful APIs
  • Knowledge of version control systems such as Git and agile development methodologies
  • Excellent problem-solving skills, attention to detail, and ability to work independently or within a team
  • Excellent written and verbal communication skills, with the ability to convey complex concepts to non-technical users

Compass Group Canada is committed to nurturing a diverse workforce representative of the communities within which we operate. We encourage and are pleased to consider all qualified candidates, without regard to race, colour, citizenship, religion, sex, marital / family status, sexual orientation, gender identity, aboriginal status, age, disability or persons who may require an accommodation, to apply.For accommodation requests during the hiring process, please contact for further information.

Senior Machine Learning Engineer – Telus – Toronto, ON

Company: Telus

Location: Toronto, ON

Expected salary: $104000 – 156000 per year

Job date: Thu, 06 Feb 2025 08:16:14 GMT

Job description: DescriptionJoin TELUS and be part of a forward-thinking, innovative team that’s reshaping how we understand and connect with our customers. As a Senior Machine Learning Engineering Consultant, you’ll work alongside talented Data Scientists, Data Engineers, and Strategists to develop and deploy cutting-edge AI solutions. Your expertise in Machine Learning, LLMs, and production-grade AI systems will directly influence the strategic direction and performance of TELUS’ Marketing, Strategy & Data Insights team across our Home Solutions and Mobility business units.In this role, you’ll have the opportunity to:● Work on high-value, high-visibility projects that directly impact business outcomes.
● Thrive in a flexible work environment, balancing in-office collaboration and remote work.
● Continuously advance your skills with progressive training, development tools, and support from a team that values your growth.What You’ll Do● Shape and evolve the team roadmap by leveraging cutting-edge industry research, emerging tools, and best practices in LLMs and AI technologies.
● Design, develop, and deploy ML systems that meet production requirements and deliver business value.
● Select and optimize datasets, feature engineering processes, and data representation methods to enhance model performance.
● Manage and refine end-to-end ML pipelines, overseeing algorithm selection, production deployment, and continuous improvement to maximize ROI.
● Collaborate with internal stakeholders to identify business needs and design impactful, data-driven solutions.
● Partner with Data Scientists, Engineers, and external Data Science communities to develop innovative, scalable AI products.
● Communicate complex insights clearly and concisely to Director-level stakeholders, translating technical findings into actionable business strategies.
● Continuously monitor and refine AI models and processes for optimization, accuracy, and business impact.QualificationsWhat You Bring:● 5+ years of experience in data-focused roles, with a strong emphasis on ML/LLMs.
● Hands-on experience with ML/LLM frameworks, platforms, and tools, especially on Google Cloud Platform (GCP).
● Proficiency in Python development with experience using GitHub and other version control tools.
● Solid understanding of the AI and software development lifecycle, from prototyping to production deployment.
● Ability to translate technical concepts into clear, actionable insights for non-technical audiences.
● A collaborative, innovative mindset with a natural curiosity and eagerness to experiment with new technologies.
● Exceptional communication skills to engage with stakeholders, define advanced data science requirements, and deliver impactful presentations.Great-to-Haves:● A Master’s degree in a quantitative field such as Mathematics, Statistics, Computer Science, or Data Science.
● Google Professional ML Engineering Certification or equivalent credentials.
● Familiarity with LLM tools such as Gemini, Hugging Face Transformers, Langchain etc.
● Data visualization expertise with tools like Looker, Tableau, or Power BI.
● Experience with Pulumi and working in agile environments and team-based software development workflows (e.g., JIRA, Monday.com).Salary Range: $104,000-$156,000Performance Bonus or Sales Incentive Plan: 15%Actual total compensation will be determined based on factors such as knowledge, skills, performance and experience. In addition, TELUS offers rewarding benefits such as:

  • Comprehensive total rewards package highlighting competitive salary and bonus structures, minimum 3 weeks of vacation, and flexible benefits plan to meet the needs of you and your family
  • Flexibility to work in-office, virtually or a combination of both, based on the role’s requirements
  • Generous company matched pension and share purchase programs
  • Opportunity to give back to communities in which we work, live and serve
  • Career growth and learning & development opportunities to develop your skills
  • And much more …

Please note that the compensation shown in the job posting may be subject to change in 2025.A bit about usWe’re a people-focused, customer-first, purpose-driven team who works together every day to innovate and do good. We improve lives through our technology solutions and foster a culture of innovation that empowers team members to solve complex problems and create remarkable human outcomes in a digital world.You’ll find our engaging, high-performance culture personally fulfilling, professionally challenging, and financially rewarding. We’re committed to diversity and equitable access to employment opportunities based on ability. Your unique contributions and talents will be valued and respected here. When you join our team, you’re helping us make the future friendly.Note for Quebec candidates: if knowledge of English is required for this position, it is because the team member will be asked, on a regular basis, to interact in English with external or internal parties or to use English applications or software as part of their tasks.Technology SolutionsWe’re into seeing where technology can take us, so if you have ever imagined what the future of supply chain management, cybersecurity, the cloud and Internet of Things will look like, we want you to be part of the team that makes it happen.We are honoured to be recognized5G
TELUS’s fastest network. 5G enables a superior experience with fast downloads and richer multimedia applications6
Innovation centres across Canada that bring our team members together with customers, partners, start ups, universities, hospitals and fellow colleagues to tackle some of the biggest technological hurdles Canada will face in the near future.1
Million active users logging into My TELUS per month (consumer mobility).AccessibilityTELUS is proud to foster an inclusive culture that embraces diversity. We are committed to fair employment practices and all qualified applicants will receive consideration for employment.We offer accommodation for applicants with disabilities, as required, during the recruitment process.

TELUS is seeking a Senior Machine Learning Engineering Consultant to work on cutting-edge AI solutions, collaborating with Data Scientists and Engineers. The role involves developing and deploying ML systems, optimizing datasets, and communicating insights to stakeholders. Qualified candidates should have 5+ years of ML experience, proficiency in Python, and strong communication skills. Additional qualifications such as a Master’s degree, ML certifications, and data visualization expertise are preferred. The salary range is $104,000-$156,000 with performance bonuses and benefits included.TELUS is a people-focused, purpose-driven team that values diversity and innovation, offering opportunities for career growth and development. The company is committed to equitable access to employment opportunities.TELUS focuses on technology solutions, including 5G and innovation centers across Canada, aiming to create a future of supply chain management, cybersecurity, and IoT technologies. The company fosters an inclusive culture that embraces diversity and offers accommodation for applicants with disabilities during the recruitment process.