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.

Data Scientist – Machine Learning and Advanced Analytics (Remote) – Hilton Grand Vacations – Orlando, FL

Company: Hilton Grand Vacations

Location: Orlando, FL

Expected salary:

Job date: Sat, 01 Feb 2025 08:09:51 GMT

Job description: The ideal candidate for this position will have a strong background in marketing, finance, or IT, with expertise in PowerBI development. In addition, candidates should have experience working with Generative AI (GenAI) models and their APIs. The successful candidate will be responsible for utilizing their skills in these areas to drive strategic decision-making and maximize business opportunities through data analytics and innovative technology solutions. This role offers the opportunity to work on cutting-edge projects and collaborate with a talented team of professionals in a dynamic and fast-paced environment.

Data Scientist – Machine Learning and Advanced Analytics (Remote) – Hilton Grand Vacations – Orlando, FL

Company: Hilton Grand Vacations

Location: Orlando, FL

Expected salary:

Job date: Fri, 31 Jan 2025 06:27:42 GMT

Job description: This job requires a strong background in marketing, finance, or IT, along with experience in PowerBI development and Generative AI (GenAI) models. The successful candidate will use their expertise to analyze and interpret data, create visualizations, and develop AI models to drive business growth and decision-making. This role offers the opportunity to work on cutting-edge technologies and make a significant impact on the company’s success.

AMCS – Machine Learning Engineering Intern – Ottawa, ON

Company: AMCS

Location: Ottawa, ON

Expected salary:

Job date: Sun, 08 Dec 2024 02:25:43 GMT

Job description: Sustainability that means businessWho we are:Sustainability software specialist, AMCS, is headquartered in Ireland, with offices in Europe, the USA, and Australasia. With over 1,300 highly-skilled employees across 22 countries, we specialize in delivering technology solutions to facilitate a carbon neutral future.What we do:Our innovative SaaS solutions increase efficiency and boost sustainability in resource-intensive industries. Over 5,000 customers across 23 countries already benefit from our Performance Sustainability software, ensuring we deliver practical solutions for improved profitability and environmental resilience across the globe.Our peopleAMCS offers team members more than just a job, but an opportunity to map out a career with a company that is growing, evolving and setting out new ways of working that are having a positive impact on the world around us. AMCS was established in Ireland and holds onto those local roots and ‘start-up’ mentality with a culture of connection. Connection to our work, our customers, our colleagues and our community that creates a working environment that fosters openness, collaboration and creativity.As a Machine Learning Engineering Intern, you will contribute to the design, development, and deployment of machine learning models and data pipelines. You’ll support the team in data preparation, model training, and evaluation, while learning best practices for ML in production. This is a great opportunity for someone eager to learn about ML workflows, data engineering, and software development in an industry setting.Responsibilities:Assist in data cleaning, preprocessing, and exploratory data analysis to prepare data for model training.Develop, train, and fine-tune machine learning models using frameworks/tools like Python/PySpark, Python, TensorFlow, PyTorch, and Scikit-Learn on Azure DatabricksBuild, maintain, and optimize data pipelines for seamless data flow and model integration Azure Databricks using PySpark/Python and Spark SQLImplement and evaluate ML models, tracking performance and refining based on feedback.Collaborate with team members to integrate models into production environments.Document processes, code, and findings, contributing to team knowledge sharing.Stay current with the latest ML trends and research to support ongoing projects.Requirements:Currently pursuing a bachelor’s degree (final year), Master’s, or PhD in Computer Science, Data Science, Engineering, or a related fieldHands-on experience with ML frameworks (TensorFlow, PyTorch, or Scikit-Learn)Understanding of fundamental machine learning and deep learning concepts, algorithms, and data structuresFamiliarity with Large Language Models (LLMs) and attention-based modelsExperience with building, managing, and optimizing data pipelines.Strong analytical skills and problem-solving abilitiesExcellent communication and teamwork skills
Nice-to-Have:Experience with Databricks, PySpark, Spark SQL, and Apache SparkFamiliarity with MLOps best practicesProficiency with Power BI for data visualizationExperience with development of Retrieval-Augmented Generation (RAG) modelsFamiliarity with LlamaIndex and LangChain for building LLM-powered applications.
What You’ll Gain:Hands-on experience in real-world machine learning projects and data pipeline developmentMentorship and support from industry professionalsExposure to cutting-edge platforms and technologies