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Machine Learning Engineer jobs in United States

Senior Machine Learning Engineer

Senior Machine Learning Engineer
The Institute for Performance and Learning
Toronto
CAD 100,000 - 126,000
Urgently required
2 days ago
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Senior Machine Learning Engineer : Post Training & Speculative Decoding

Senior Machine Learning Engineer : Post Training & Speculative Decoding
Groq
Toronto
CAD 100,000 - 125,000
Urgently required
Today

Machine Learning Engineer : 2D & 3D Geometric Data, Generative AI. Remote or Hybrid Canada

Machine Learning Engineer : 2D & 3D Geometric Data, Generative AI. Remote or Hybrid Canada
Autodesk
Quebec
CAD 80,000 - 100,000
Urgently required
Yesterday

Senior Machine Learning Engineer

Senior Machine Learning Engineer
AuditBoard
Canada
Remote
CAD 90,000 - 120,000
Urgently required
2 days ago

Senior Machine Learning Engineer - MLOps & Platform Engineering

Senior Machine Learning Engineer - MLOps & Platform Engineering
Myticas Consulting
Toronto
CAD 90,000 - 120,000
Urgently required
2 days ago
Discover more opportunities than anywhere else.
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Lead & Senior Machine Learning Engineer - MLOps & Platform Engineering

Lead & Senior Machine Learning Engineer - MLOps & Platform Engineering
Myticas Consulting
Toronto
CAD 90,000 - 120,000
Urgently required
2 days ago

Sr. Machine Learning Engineer

Sr. Machine Learning Engineer
Workday, Inc.
Calgary
CAD 148,000 - 222,000
Urgently required
3 days ago

Senior Software Engineer, Machine Learning Remote : US / Canada, India, Worldwide All positions[...]

Senior Software Engineer, Machine Learning Remote : US / Canada, India, Worldwide All positions[...]
Observo
Toronto
Remote
CAD 100,000 - 120,000
Urgently required
5 days ago
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Senior Machine Learning Engineer

Senior Machine Learning Engineer
Bree
Toronto
CAD 100,000 - 125,000
Urgently required
4 days ago

Machine Learning Engineer

Machine Learning Engineer
Insight Global
Toronto
CAD 100,000 - 140,000
Urgently required
3 days ago

machine learning engineer

machine learning engineer
Invisipay Inc.
Halifax
CAD 125,000 - 150,000
Urgently required
4 days ago

Principal/Senior/Machine Learning Engineer III

Principal/Senior/Machine Learning Engineer III
Workday, Inc.
Vancouver
CAD 122,000 - 184,000

Senior Machine Learning Engineer

Senior Machine Learning Engineer
T-Net British Columbia
Toronto
CAD 152,000 - 207,000

Senior Machine Learning Engineer

Senior Machine Learning Engineer
Talener
Canada
Remote
USD 175,000 - 200,000

Machine Learning Engineer

Machine Learning Engineer
Clio - Cloud-Based Legal Technology
Burnaby
CAD 123,000 - 167,000

Senior Machine Learning Engineer

Senior Machine Learning Engineer
ApplyBoard Inc.
Canada
CAD 100,000 - 130,000

Machine Learning Engineer

Machine Learning Engineer
PENN Interactive
Toronto
CAD 80,000 - 110,000

machine learning engineer

machine learning engineer
Wireframe Solutions
Toronto
CAD 80,000 - 100,000

Senior Machine Learning Engineer, Personalization

Senior Machine Learning Engineer, Personalization
Loblaw Companies Limited
Toronto
CAD 100,000 - 130,000

Senior Machine Learning Engineer (GCP)

Senior Machine Learning Engineer (GCP)
Tiger Analytics
Canada
CAD 90,000 - 120,000

Machine Learning Engineer

Machine Learning Engineer
Pinnacle
Toronto
CAD 80,000 - 120,000

Ingénieur en Machine Learning/Machine Learning Engineer, ProServe Shared Delivery Team - Data & AI

Ingénieur en Machine Learning/Machine Learning Engineer, ProServe Shared Delivery Team - Data & AI
Amazon
Toronto
CAD 99,000 - 167,000

Senior Machine Learning Engineer, BEV Scene Modeling

Senior Machine Learning Engineer, BEV Scene Modeling
Torc Robotics
Montreal
CAD 100,000 - 130,000

Senior Machine Learning Engineer

Senior Machine Learning Engineer
Match Group
Vancouver
CAD 116,000 - 154,000

Machine Learning Engineer

Machine Learning Engineer
Waterworth
Victoria
CAD 125,000 - 150,000

Senior Machine Learning Engineer

Be among the first applicants.
The Institute for Performance and Learning
Toronto
CAD 100,000 - 126,000
Be among the first applicants.
2 days ago
Job description

Here at Kraft Heinz, we grow our people to grow our business, because we believe that great people make great companies. When you join our table, you can expect access to an array of holistic wellness benefits

  • and perks, including medical, dental and vision coverage, 7% 401(k) matching, Business Resource Groups (BRGs) to help foster diversity, inclusion, and belonging for all employees, an industry-leading total rewards package that emphasizes a high discretionary bonus.
  • Benefits begin 30 days after hire for hourly employees, and immediately upon hire for salaried employees. Get a peek into life here at Kraft Heinz through our Instagram and TikTok channels!

Senior Machine Learning Engineer at a Glance….

As a Senior Machine Learning Engineer at Kraft Heinz, you will be part of the DIPP – (Decision Intelligence Products & Platforms) ML Engineering team. This person will be Operating horizontally across core functions such as Supply Chain, Manufacturing, Commercial, R&D, HR, and Marketing, this team drives value through scalable ML systems and robust MLOps practices. You will lead and develop the deployment, monitoring, and governance of machine learning models , ensuring high-performance, production-grade AI systems across the enterprise.

What’s on the menu?

MLOps & Model Lifecycle Automation

  • Lead MLOps practices for end-to-end model management, versioning, testing, deployment, and monitoring, ensuring traceability and reproducibility
  • Implement model monitoring using Aporia to track performance, bias, and drift, and automate alerts and retraining workflows

  • Establish robust CI / CD pipelines and governance frameworks to support scalable and secure ML deployments
  • Ensure models meet enterprise SLAs for reliability, security, and performance
  • ML Platform Engineering & Architecture

  • Contribute to the design and evolution of the internal ML platform with reusable components, documentation, and engineering standards
  • Build shared infrastructure that supports experimentation, model reproducibility, auditability, and scale across domain.
  • Develop, deploy and operationalize predictive models that improve operational efficiency, forecast demand, and manage business risks
  • Work closely with data scientists and SMEs to translate prototypes into production-grade ML systems
  • Recipe for Success – apply now if this sounds like you!

  • Bachelor’s or Master’s in Computer Science, Engineering, or a related field
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
  • Proficiency in Python, R, or other programming languages commonly used in machine learning
  • 3+ years of experience in ML engineering and MLOps with a focus on production-scale systems
  • Strong knowledge of MLOps tools (e.g., AzureML, MLflow, Kubeflow, Airflow), Model Observability (e.g. Aporia) and cloud platforms (AWS, Azure, GCP)
  • Deep understanding of model governance , drift detection , and Responsible AI standards
  • Proficiency in CI / CD for ML using Azure DevOps practices
  • Experience with Snowflake or similar platforms for data pipeline integration
  • Ability to build and maintain strong relationships with stakeholders, ensuring effective communication, collaboration, and alignment on shared goals
  • Our Total Rewards philosophy is to provide a meaningful and flexible spectrum of programs that equitably support our diverse workforce and their families and complement Kraft Heinz’ strategy and values.

    New Hire Base Salary Range :

    100,300.00 - $125,400.00

    Job Description

    Here at Kraft Heinz, we grow our people to grow our business, because we believe that great people make great companies. When you join our table, you can expect access to an array of holistic wellness benefits

  • and perks, including medical, dental and vision coverage, 7% 401(k) matching, Business Resource Groups (BRGs) to help foster diversity, inclusion, and belonging for all employees, an industry-leading total rewards package that emphasizes a high discretionary bonus.
  • Benefits begin 30 days after hire for hourly employees, and immediately upon hire for salaried employees. Get a peek into life here at Kraft Heinz through our Instagram and TikTok channels!
  • Senior Machine Learning Engineer at a Glance….

    As a Senior Machine Learning Engineer at Kraft Heinz, you will be part of the DIPP – (Decision Intelligence Products & Platforms) ML Engineering team. This person will be Operating horizontally across core functions such as Supply Chain, Manufacturing, Commercial, R&D, HR, and Marketing, this team drives value through scalable ML systems and robust MLOps practices. You will lead and develop the deployment, monitoring, and governance of machine learning models , ensuring high-performance, production-grade AI systems across the enterprise.

    What’s on the menu?

    MLOps & Model Lifecycle Automation

  • Lead MLOps practices for end-to-end model management, versioning, testing, deployment, and monitoring, ensuring traceability and reproducibility
  • Implement model monitoring using Aporia to track performance, bias, and drift, and automate alerts and retraining workflows

  • Establish robust CI / CD pipelines and governance frameworks to support scalable and secure ML deployments
  • Ensure models meet enterprise SLAs for reliability, security, and performance
  • ML Platform Engineering & Architecture

  • Contribute to the design and evolution of the internal ML platform with reusable components, documentation, and engineering standards
  • Build shared infrastructure that supports experimentation, model reproducibility, auditability, and scale across domain.
  • Applied Machine Learning

  • Develop, deploy and operationalize predictive models that improve operational efficiency, forecast demand, and manage business risks
  • Work closely with data scientists and SMEs to translate prototypes into production-grade ML systems
  • Recipe for Success – apply now if this sounds like you!

  • Bachelor’s or Master’s in Computer Science, Engineering, or a related field
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
  • Proficiency in Python, R, or other programming languages commonly used in machine learning
  • 3+ years of experience in ML engineering and MLOps with a focus on production-scale systems
  • Strong knowledge of MLOps tools (e.g., AzureML, MLflow, Kubeflow, Airflow), Model Observability (e.g. Aporia) and cloud platforms (AWS, Azure, GCP)
  • Deep understanding of model governance , drift detection , and Responsible AI standards
  • Proficiency in CI / CD for ML using Azure DevOps practices
  • Experience with Snowflake or similar platforms for data pipeline integration
  • Ability to build and maintain strong relationships with stakeholders, ensuring effective communication, collaboration, and alignment on shared goals
  • Our Total Rewards philosophy is to provide a meaningful and flexible spectrum of programs that equitably support our diverse workforce and their families and complement Kraft Heinz’ strategy and values.

    New Hire Base Salary Range :

    100,300.00 - $125,400.00

    Bonus : This position is eligible for a performance-based bonus as provided by the plan terms and governing documents.

    The compensation offered will take into account internal equity and may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors

    Benefits : Coverage for employees (and their eligible dependents) through affordable access to healthcare, protection, and saving for the future, we offer plans tailored to meet you and your family’s needs. Coverage for benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents.

    Wellbeing : We offer events, resources, and learning opportunities that inspire a physical, social, emotional, and financial well-being lifestyle for our employees and their families.

    You’ll be able to participate in a variety of benefits and wellbeing programs that may vary by role, country, region, union status, and other employment status factors, for example :

    Physical - Medical, Prescription Drug, Dental, Vision, Screenings / Assessments

    Social - Paid Time Off, Company Holidays, Leave of Absence, Flexible Work Arrangements, Recognition, Training

    Emotional – Employee Family Assistance Program, Wellbeing Programs, Family Support Programs

    Financial -Savings / Pension, Life, Accidental Death & Dismemberment, Disability, Discounted Perks

    Location(s)

    Toronto - Queen's Quay - Headquarters

    Kraft Heinz is an Equal Opportunity Employer – Underrepresented Ethnic Minority Groups / Women / Veterans / Individuals with Disabilities / Sexual Orientation / Gender Identity and other protected classes. In order to ensure reasonable accommodation for protected individuals, applicants that require accommodation in the job application process may contact NAZTAOps@kraftheinz.com for assistance.

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    * The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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