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Senior Machine Learning Jobs in Massachusetts (NOW HIRING)

3B Staffing LLC

Senior Machine Learning Engineer

Boston, MA · On-site

$113K - $155K/yr

Senior Machine Learning Engineer - Perception R&D Hybrid Contract C2C GC, USC Need Linkedin of 2 Active referrences Python, PyTorch, computer vision, deep learning (ViT/Transformers, self-supervised ...

3B Staffing LLC

Senior Machine Learning Engineer

Boston, MA

$113K - $155K/yr

Senior Machine Learning Engineer - Perception R&D Hybrid Contract C2C GC, USC Need Linkedin of 2 Active referrences Python, PyTorch, computer vision, deep learning (ViT/Transformers, self-supervised ...

VideaHealth

Senior Machine Learning Engineer

Boston, MA · On-site

$170K - $205K/yr

About the position: We're looking for a Senior Machine Learning Engineer with deep expertise in some area of ML engineering to join our growing ML team and work closely with our software and computer ...

OneStudyTeam

Senior Machine Learning Engineer

Boston, MA · Remote

$140K - $190K/yr

By joining our team as a Senior Machine Learning Engineer , you will play a pivotal role in building cutting-edge AI products that directly impact how new therapies reach patients. We're looking for ...

ASUS

Senior Machine Learning Engineer

Boston, MA · On-site +1

$161K - $246K/yr

Overview: The ASUS Robotics & AI Center is seeking a Senior Machine Learning Engineer to join our global research and development team. This role centers on leading the design and delivery of ...

Axon

Senior Machine Learning Scientist

Boston, MA · On-site

$99K - $135K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI ... PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML ...

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All JobsMachine Learning JobsSenior Machine Learning JobsSenior Machine Learning Jobs in Massachusetts

Senior Machine Learning information

See Massachusetts salary details

$27.3K

$87.7K

$178.6K

How much do senior machine learning jobs pay per year?

As of Sep 5, 2026, the average yearly pay for senior machine learning in Massachusetts is $87,683.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,300.00 and $112,500.00 per year, depending on experience, location, and employer.

What is a senior machine learning engineer?

Senior Machine Learning engineers are experienced professionals who design, develop, and deploy advanced machine learning models and systems. They typically lead projects, mentor junior team members, and collaborate with data scientists, software engineers, and stakeholders to solve complex problems using AI and data-driven techniques. Their responsibilities include researching new algorithms, optimizing model performance, and ensuring the scalability and reliability of machine learning solutions in production environments.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer?

To thrive as a Senior Machine Learning Engineer, you need a strong background in mathematics, statistics, computer science, and experience with designing and deploying machine learning models, typically supported by an advanced degree in a related field. Proficiency with programming languages such as Python or R, ML frameworks like TensorFlow or PyTorch, and experience with cloud platforms and version control systems are commonly required. Excellent problem-solving skills, communication abilities, and leadership in collaborating with cross-functional teams make candidates stand out. These skills ensure the effective development, scaling, and integration of ML solutions to drive business value and innovation.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they address them?

Senior Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining model performance over time, and integrating models seamlessly with existing systems. Addressing these requires robust monitoring frameworks, collaboration with data engineering and DevOps teams, and implementing strategies like continuous integration/continuous deployment (CI/CD) for ML. Proactive communication with stakeholders and staying updated on the latest MLOps tools can also help ensure smooth deployment and ongoing reliability.

Is senior machine learning a high paying job?

Senior machine learning roles typically offer high salaries due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Compensation varies by industry, location, and experience, but these positions are generally among the higher-paying roles in tech and data science fields.

What are the most commonly searched types of Machine Learning jobs in Massachusetts?

The most popular types of Machine Learning jobs in Massachusetts are:

What are popular job titles related to Senior Machine Learning jobs in Massachusetts?

For Senior Machine Learning jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Senior Machine Learning jobs in Massachusetts look for?

The top searched job categories for Senior Machine Learning jobs in Massachusetts are:

What cities in Massachusetts are hiring for Senior Machine Learning jobs?

Cities in Massachusetts with the most Senior Machine Learning job openings:

Senior Machine Learning jobs near you
Infographic showing various Senior Machine Learning job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 24% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $87,683 per year, or $42.2 per hour.

Senior Machine Learning Engineer

3B Staffing LLC

Boston, MA • On-site

$113K - $155K/yr

Full-time

Posted 4 days ago

Job description

Senior Machine Learning Engineer - Perception R&D
Hybrid
Contract
C2C

GC, USC

Need Linkedin of 2 Active referrences

Python, PyTorch, computer vision, deep learning (ViT/Transformers, self-supervised, vision-language models, zero-shot detection), model distillation/quantization, Docker, cloud (AWS/GCP), experiment tracking, and strong communication of AI concepts.
Job Description

We are seeking a Senior Machine Learning Engineer (Perception R&D) to join an advanced research and development team focused on building state-of-the-art perception systems. This role is ideal for a hands-on engineer with strong experience in computer vision and deep learning, who enjoys solving complex real-world problems and translating research into production-ready solutions.

The ideal candidate will work on modern vision architectures, explore emerging techniques, and collaborate closely with engineering and product teams to deliver high-impact AI-driven capabilities.
Responsibilities

  • Design, develop, and optimize deep learning models for perception and computer vision tasks
  • Conduct applied research and advanced R&D using modern architectures such as Vision Transformers (ViT), Transformers, vision-language models, and self-supervised learning
  • Tackle real-world perception challenges including occlusion, lighting variations, and reflective surfaces
  • Evaluate tradeoffs between machine learning models and heuristic-based approaches
  • Implement model distillation, quantization, and optimization for efficient deployment
  • Train, fine-tune, and evaluate models using PyTorch and Python
  • Collaborate with cross-functional teams to integrate models into production pipelines
  • Communicate technical concepts, model performance, and tradeoffs clearly to engineering and product stakeholders

Required Qualifications

  • 5+ years of experience in computer vision and deep learning (applied research or advanced R&D)
  • Strong proficiency in Python and PyTorch
  • Experience with modern deep learning architectures (ViT/Transformers, self-supervised learning, vision-language models, zero-shot detection)
  • Proven ability to solve complex perception problems in real-world environments
  • Strong problem-solving and analytical skills

Preferred Qualifications

  • Experience with model distillation and quantization
  • Familiarity with Docker and containerized workflows
  • Experience with cloud platforms such as AWS or GCP
  • Familiarity with experiment tracking tools (e.g., MLflow, Weights & Biases)
  • Background in deploying ML models to production

Apply