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Machine Learning Operations Jobs in Massachusetts

Cartesian is building spatial intelligence for indoor environments to drive operational efficiency. They are seeking a highly motivated, product-oriented Machine Learning Scientist to join their core ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... operational problems. Set up and manage the training environment, including GPU instances and ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development ... operational problems. Set up and manage the training environment, including GPU instances and ...

Staff Machine Learning Engineer

Boston, MA · On-site +1

$186K - $265K/yr

Machine learning and deep-learning models will influence selection, relevance, ranking, click ... S., PhD, or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Data ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$149K - $245K/yr

Machine learning and deep-learning models will influence selection, relevance, ranking, click ... S., PhD, or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Data ...

Design, build, and deploy production ML systems for clinical decision support and operational ... Requirements * 4+ years building and deploying machine learning systems in production, ideally with ...

Senior Machine Learning Engineer (Nova)

Boston, MA · On-site

$113K - $155K/yr

They are seeking a Senior Machine Learning Engineer to build core Machine Learning foundations ... operations. • Collaborate with product, design, and engineering to align ML system design with ...

Senior Machine Learning Engineer

Boston, MA

$133K - $175K/yr

It's transforming how we enhance customer experiences, streamline operations, and unlock new ... The Crown Is Yours As a Senior Machine Learning Engineer, you'll design, implement, and scale ...

Senior Machine Learning Engineer

Boston, MA · On-site

$133K - $175K/yr

It's transforming how we enhance customer experiences, streamline operations, and unlock new ... The Crown Is Yours As a Senior Machine Learning Engineer, you'll design, implement, and scale ...

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$124K - $149K/yr

As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain ... Identify regressions and assist in the operational support of our data mining services. * Learn and ...

Summary: The Machine Learning Engineer (SMTS) designs and implements machine learning (ML ... Works to improve operations at the task / individual contributor level. Identifies areas for ...

Machine Learning Systems Engineer

Boston, MA · On-site +1

$144K - $192K/yr

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this ... S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing ...

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this ... S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing ...

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Machine Learning Operations information

Is ML a high paying job?

Machine Learning Operations (MLOps) roles are generally well-paid due to the specialized skills required, such as expertise in cloud platforms, programming, and data management. Salaries tend to be higher than average tech roles and can increase with experience, certifications, and knowledge of tools like TensorFlow or Kubernetes.

What is the difference between Machine Learning Operations vs Data Scientist?

AspectMachine Learning OperationsData Scientist
Primary FocusDeploying, maintaining, and scaling ML models in productionAnalyzing data to develop insights and build models
Required SkillsML deployment, cloud platforms, automation, scriptingStatistical analysis, data visualization, programming (Python/R)
Work EnvironmentOperations teams, cloud infrastructure, production systemsResearch environments, data analysis teams, R&D
Common CertificationsCloud certifications, MLOps tools certificationsData science certifications, statistical courses

Machine Learning Operations and Data Scientists often collaborate, but MLOps focuses on deploying and maintaining models in production, while Data Scientists focus on analyzing data and developing models. Both roles require technical skills, but their day-to-day tasks and environments differ.

What engineer makes $500,000 a year?

Senior machine learning operations engineers with extensive experience, advanced skills in automation, cloud platforms, and deployment pipelines can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such roles often require expertise in tools like Kubernetes, Docker, and cloud services, along with strong problem-solving and leadership abilities.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in machine learning, deep learning, and data science. These positions usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses that contribute to the total compensation. Such roles are rare and highly competitive, often found in large tech companies or innovative startups.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and while AI automation tools can handle certain tasks, MLEs are essential for creating, tuning, and overseeing complex models. AI may automate some routine aspects, but MLEs' expertise in data engineering, model optimization, and deployment remains critical for effective AI solutions.
What cities in Massachusetts are hiring for Machine Learning Operations jobs? Cities in Massachusetts with the most Machine Learning Operations job openings:
Machine Learning Scientist

Machine Learning Scientist

Cartesian

Cambridge, MA • On-site

Full-time

Posted 15 days ago


Job description

Job Summary:
Cartesian is building spatial intelligence for indoor environments to drive operational efficiency. They are seeking a highly motivated, product-oriented Machine Learning Scientist to join their core R&D team and have a direct impact on key positioning algorithms and models.
Responsibilities:
• Design, develop, and deploy ML models for indoor positioning and perception.
• Optimize model architectures for performance and efficiency.
• Develop tools and datasets to benchmark performance in the real world and at scale.
• Translate research into production pipelines.
• Collaborate with engineering and product to ship features to enterprise customers.
Qualifications:
Required:
• PhD in computer science, electrical engineering, or related field.
• Deep understanding and hands-on experience in machine learning models for time-series data, including both transformer-based architectures and probabilistic models (e.g., state estimation).
• Publications in top-tier ML, vision, or systems venues (e.g., ACL, NeurIPS, CVPR, ECCV, ICCV, MobiCom, MobiSys, MLSys, ICASSP, ICML, ICRL, ICRA, IROS).
• Ability to write high-quality production code.
• Excellent communication skills and ability to collaborate across disciplines.
• Thrive in fast-paced, dynamic environments and take pride in producing high-quality work.
Preferred:
• Past startup experience
• Industry experience in applied software or ML engineering.
• Familiarity with cloud-based model training and inference.
• Experience in optimizing and deploying ML models in mobile environments.
• Background in wireless localization or radar signal processing
• Experience with computer vision or multi-sensor fusion techniques (e.g., 2D/3D perception, pose estimation, tracking, SLAM).
Company:
Cartesian is an MIT spinout building indoor spatial AI to streamline retail operations. Founded in 2023, the company is headquartered in Cambridge, MA, US, , with a team of 11-50 employees. The company is currently Early Stage.