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Senior Machine Learning Engineer Jobs in Brookline, MA

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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 and deployment of Large language and machine learning models, with a primary focus on data ...

Modulate

Machine Learning Engineer

Somerville, MA · On-site

$170 - $200/hr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice understanding at Modulate. In this role, you'll design, train, evaluate, and deploy cutting‑edge machine ...

New

Sierra Ventures

Machine Learning Engineer

Somerville, MA · On-site

$170 - $200/hr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice understanding at Modulate. In this role, you'll design, train, evaluate, and deploy cutting‑edge machine ...

Capital One

Sr. Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Brookline, MA

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:

Senior Machine Learning Engineer jobs near you
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 ml/python/Wilmington ma

Motion Recruitment

Boston, MA • On-site

$113K - $156K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 days ago

Job description

Job Description
A full-service product development consultancy specializing in medical devices, robotic systems and automation is hiring a Senior Machine Learning Engineer. As a Machine Learning Engineer you will be expected to own the full ML lifecycle, from raw sensor data to a model running on constrained hardware.
In this role you will design and utilize data pipelines for sensor data. Your responsibilities include training, optimizing, and deploying machine learning models for signal processing and anomaly detection on edge devices, collaborating with embedded engineers to integrate and validate inference within device software. Additionally, you will build MLOps infrastructure, participate in sensor selection and validation, and document model development to support both regulatory submissions and internal quality processes.
Required Skills & Experience
  • Strong proficiency in Python
  • Hands on experience in PyTorch or TensorFlow
  • Experience deploying models to edge using TFLite, ONNX, CoreML, TensorRT, or equivalent
  • Experience building sensor data pipelines
  • Proficiency with MLOps
  • Solid Software engineering fundamentals
  • Proficiency in C or C++
Desired Skills & Experience
  • 5 years of machine learning engineering or applied ML
  • Experience with physiological signal processing for medical or wearable applications
  • Background in robotics, or autonomous systems
  • Experience in a startup or small team
  • Degree in a relevant field
What You Will Be Doing
Daily Responsibilities
  • 100% Hands On
  • Develop and troubleshoot workflows for collecting, cleaning, and organizing sensor data.
  • Build and refine ML models for real-time device applications and performance improvements
  • Work closely with firmware teams to embed and test AI features on hardware platforms
  • Set up and oversee tools for tracking experiments, automating evaluations and managing deployments
  • Analyze model behavior, ensure reliability and resolve issues to maintain highquality outputs
The Offer
  • Bonus OR Commission eligible
You will receive the following benefits
  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Paid Time Off (PTO)
  • 401(k) {including match - if applicable}

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

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