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Senior Machine Learning Engineer Jobs in Brookline, MA

Senior Machine Learning Engineer

Boston, MA ยท 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 ...

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 ...

Senior Machine Learning Engineer

Boston, MA ยท 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 ...

Senior Machine Learning Engineer

Boston, MA ยท 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 ...

Senior Machine Learning Engineer

Boston, MA ยท 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 ...

Senior Machine Learning Engineer

Boston, MA ยท Remote

$125K - $165K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data ...

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Senior Machine Learning Engineer information

See Brookline, MA salary details

$64.4K

$136.9K

$198.5K

How much do senior machine learning engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for senior machine learning engineer in Brookline, MA is $136,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,100.00 and $155,300.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

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

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Brookline, MA?

The most popular types of Machine Learning Engineer jobs in Brookline, MA are:

What are popular job titles related to Senior Machine Learning Engineer jobs in Brookline, MA?

For Senior Machine Learning Engineer jobs in Brookline, MA, the most frequently searched job titles are:

What job categories do people searching Senior Machine Learning Engineer jobs in Brookline, MA look for?

The top searched job categories for Senior Machine Learning Engineer jobs in Brookline, MA are:

What cities near Brookline, MA are hiring for Senior Machine Learning Engineer jobs?

Cities near Brookline, MA with the most Senior Machine Learning Engineer job openings:

Infographic showing various Senior Machine Learning Engineer job openings in Brookline, MA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $136,924 per year, or $65.8 per hour.

Senior Machine Learning Engineer

3B Staffing LLC

Boston, MA โ€ข 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