Senior Machine Learning Engineer – Boston, MA

Motion Recruitment Partners, LLC; Boston (MA); Hybrid; USD 220,000 - 240,000; Full time

Benefits offered by this job

Medical Insurance

Dental Benefits

Vision Benefits

PTO

401(k) with company match

Flexible work arrangements

Professional development

Job summary

Motion Recruitment Partners, LLC is seeking a Senior Machine Learning Engineer for a fast-growing technology company in the Greater Boston area. This hybrid role focuses on designing, developing, deploying, and optimizing ML models that power business-critical applications.

You will collaborate with data scientists, software engineers, PMs, and leadership to translate complex data into scalable solutions, drive ML initiatives in production, and mentor junior engineers.

Qualifications

• 7+ years of professional experience in ML, DS, or software engineering.
• Experience deploying models in production environments.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience with cloud platforms (AWS, Azure, GCP).
• Strong understanding of statistics, ML algorithms, evaluation, and experimentation.
• Experience with data engineering tools and distributed computing.
• Strong software engineering fundamentals (version control, testing, CI/CD).
• Bachelor’s degree in CS, Engineering, Mathematics, or related field.

Responsibilities

• Design, develop, deploy, and optimize ML models for business-critical apps.
• Build scalable training, deployment, and monitoring pipelines.
• Collaborate with product, data science, software, and leadership teams.
• Improve model performance, reliability, and scalability.
• Lead experimentation, validation, and performance analysis.
• Establish ML engineering and MLOps best practices.
• Mentor junior engineers and contribute to technical leadership.

Skills

7+ years ML/DS/PE

Production ML deployment

Python

Statistics & ML algorithms

Team collaboration

Education

Bachelor's degree in CS/Engineering/Math

Tools

TensorFlow

PyTorch

Scikit-learn

AWS/Azure/GCP

Kubernetes

Docker

Job description

Job Description A fast-growing technology company is seeking a Senior Machine Learning Engineer to join its team in the Greater Boston area. This is a hybrid opportunity that combines cutting-edge machine learning development with the chance to influence the direction of AI-driven products and platforms.
In this role, you will design, develop, deploy, and optimize machine learning models that drive business-critical applications. You will work closely with data scientists, software engineers, product managers, and leadership to transform complex data into scalable solutions. The ideal candidate is passionate about applying advanced machine learning techniques in production environments and has a strong track record of delivering measurable results.
This position offers the opportunity to work on challenging problems involving predictive modeling, deep learning, large-scale data processing, and MLOps within a collaborative and innovative environment. Required Skills & Experience

• 7+ years of professional experience in Machine Learning, Data Science, or Software Engineering
• Strong experience building and deploying machine learning models in production environments
• Proficiency with Python and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
• Deep understanding of statistics, machine learning algorithms, model evaluation, and experimentation
• Experience with data engineering tools and distributed computing frameworks
• Strong software engineering fundamentals, including version control, testing, and CI/CD
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field

Desired Skills & Experience

• Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field
• Experience with large language models (LLMs), generative AI, or NLP applications
• Familiarity with Kubernetes, Docker, and MLOps best practices
• Experience building recommendation systems, forecasting models, or computer vision applications
• Exposure to real-time machine learning systems and large-scale data pipelines
• Prior leadership or mentoring experience

What You Will Be Doing Daily Responsibilities

• 80% Hands On
• Design and develop machine learning models and AI-driven solutions
• Build scalable training, deployment, and monitoring pipelines
• Collaborate with product and engineering teams to translate business requirements into technical solutions
• Optimize model performance, reliability, and scalability
• Conduct experimentation, model validation, and performance analysis
• Establish best practices for machine learning engineering and MLOps
• Mentor junior engineers and contribute to technical leadership initiatives
• Stay current with emerging machine learning and AI technologies

The Offer

• Base Salary: $220,000 – $240,000 per year
• Performance-based annual bonus
• Equity or long-term incentive package
• Hybrid work schedule (3 days onsite) in the Boston, MA area

You will receive the following benefits

• Medical Insurance
• Dental Benefits
• Vision Benefits
• Paid Time Off (PTO)
• 401(k) with company match
• Flexible work arrangements
• Professional development and continuing education support
  Applicants must be currently authorized to work in the US on a full-time basis now and in the future.