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Machine Learning Contract Jobs in Massachusetts (NOW HIRING)

Roberts Recruiting

Senior Data Scientist

Boston, MA

... contract data for audits and other diligence easier. This is an exciting Senior Data Scientist/Machine Learning opportunity to have a real impact and be a large fish in a small pond! As a Senior Data ...

Diversity Nexus

AI/ML Tech Lead / Architect

Boston, MA · On-site +1

$60 - $82.25/hr

Contract/ C2H - Contract Collaborate with cross-functional teams to understand business ... Advanced experience in production grade Machine Learning Model design and implementation including ...

Symbotic

Contracts Administrator I

Wilmington, MA · Hybrid

$25.96 - $35.96/hr

Work in close collaboration with global cross-functional teams throughout the contract cycle ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

Symbotic

Contracts Administrator I

Wilmington, MA · On-site

$25.96 - $35.96/hr

Work in close collaboration with global cross-functional teams throughout the contract cycle ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

NorthEastern

Research Scientist

Burlington, MA

... machine learning technologies into practical, state-of-the-art systems. A close working relationship with and support of KRI Senior R&D Engineers/Scientists for government and industry contracts will ...

Northeastern University

Sr Research Scientist

Burlington, MA · On-site

$107K - $136K/yr

... machine learning technologies into practical, state-of-the-art systems. A close working relationship with and support of KRI Senior R&D Engineers/Scientists for government and industry contracts will ...

NorthEastern

Sr Research Scientist

Burlington, MA

$107K - $136K/yr

... machine learning technologies into practical, state-of-the-art systems. A close working relationship with and support of KRI Senior R&D Engineers/Scientists for government and industry contracts will ...

NorthEastern

Senior Research Scientist

Burlington, MA

$107K - $136K/yr

... machine learning technologies into practical, state-of-the-art systems. A close working relationship with and support of KRI Senior R&D Engineers/Scientists for government and industry contracts will ...

micro1 AI

Attorney - Remote

Boston, MA · Remote

$100 - $150/hr

Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next ... Develop case strategies and motion practice templates that inform machine learning models in legal ...

micro1 AI

Attorney - Remote

New Bedford, MA · Remote

$100 - $150/hr

Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next ... Develop case strategies and motion practice templates that inform machine learning models in legal ...

micro1 AI

Attorney - Remote

Worcester, MA · Remote

$100 - $150/hr

Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next ... Develop case strategies and motion practice templates that inform machine learning models in legal ...

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Machine Learning Contract information

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How much do machine learning contract jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for machine learning contract in Massachusetts is $24.92, according to ZipRecruiter salary data. Most workers in this role earn between $21.54 and $27.84 per hour, depending on experience, location, and employer.

What is a Machine Learning Contract job?

A Machine Learning Contract job is a temporary or project-based role where professionals develop and implement machine learning models for a company. Contractors may work on tasks such as data preprocessing, model training, evaluation, and deployment. These roles are often remote or short-term, allowing companies to hire expertise for specific projects without long-term commitments.

What are the key skills and qualifications needed to thrive in the Machine Learning Contract position, and why are they important?

To thrive as a Machine Learning Contract professional, you need a solid background in programming (Python, R), data analysis, and machine learning algorithms, usually supported by a relevant degree in computer science or a related field. Familiarity with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn, as well as experience with cloud platforms like AWS or Azure, is typically required. Strong problem-solving abilities, time management, and effective communication are standout soft skills in contract-based roles. These competencies are crucial for efficiently delivering project-based solutions, collaborating with clients, and staying adaptable to varied organizational needs.

What are the typical responsibilities and workflow for a Machine Learning Contract position?

As a Machine Learning Contract professional, you’ll often be brought in to design, build, and deploy machine learning models tailored to a client’s specific challenges, ranging from data preprocessing and exploratory analysis to model selection and performance tuning. You may also be responsible for documenting your work, presenting results to stakeholders, and advising on best practices for model integration. Contract positions frequently involve collaborating remotely with cross-functional teams and meeting project milestones within set timelines. This role is ideal for those who enjoy variety, autonomy, and leveraging their expertise across different industries and datasets.

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 Machine Learning Contract jobs in Massachusetts? For Machine Learning Contract jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Machine Learning Contract jobs in Massachusetts look for? The top searched job categories for Machine Learning Contract jobs in Massachusetts are:
What cities in Massachusetts are hiring for Machine Learning Contract jobs? Cities in Massachusetts with the most Machine Learning Contract job openings:
Machine Learning Contract jobs near you
Infographic showing various Machine Learning Contract job openings in Massachusetts as of June 2026, with employment types broken down into 81% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $51,841 per year, or $24.9 per hour.

Senior Machine Learning Engineer - Physical AI

Goddard Technologies, Inc.

Wilmington, MA • On-site

$114K - $156K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 3 days ago

Job description

Our Mission:
Through inspired engineering and design, we deliver outstanding solutions that positively impact lives. We use an interdisciplinary development process that combines our diverse engineering experience with creative industrial design solutions. We succeed when our partners succeed - it's all about solving the most complex challenges by creating transformative technology.
Our Culture and People:
At Goddard, our most important asset is our people. We don't just work together; we thrive together. We foster a culture of collaboration, continuous learning, and mutual support. We believe in taking exceptionally good care of each other because great teams build great solutions. If you are someone who embodies the values of accountability, inspiration, dedication, efficiency, innovation, integrity, quality, and reliability, we want you on our team. Come be a part of a workplace where your ideas are valued, your growth is encouraged, and your contributions make a real impact. Join us in shaping the future of transformative technology - together.
The Role:
We are looking for a Senior Machine Learning Engineer to own the AI/ML foundation of our physical AI initiative. This is not a role for someone who builds models in isolation and hands them off - you will be expected to own the full ML lifecycle, from raw sensor data to a model running on constrained hardware in the real world. You will work directly with embedded software, hardware, and systems engineers to bring AI capabilities into physical devices, and you will be accountable for the quality, reliability, and maintainability of every layer you touch. If you take pride in understanding how your model actually behaves on device, have strong opinions about data quality, and hold yourself to a high bar without being told to, you will thrive here.
Responsibilities:
  • Design and implement data pipelines for sensor data ingestion, preprocessing, labeling, and curation, ensuring data quality from collection through training.
  • Train, evaluate, and iterate on ML models for applications including signal processing, anomaly detection, and physiological parameter estimation.
  • Optimize models for deployment on edge and embedded targets, applying quantization, pruning, and distillation techniques to meet latency and memory constraints.
  • Deploy models to constrained hardware using TFLite, ONNX, TensorRT, or equivalent runtimes, and validate end-to-end inference behavior on target devices.
  • Collaborate with embedded software engineers to integrate ML inference into device firmware and software stacks, defining clear interfaces and performance contracts.
  • Build and maintain MLOps infrastructure: experiment tracking, model versioning, automated evaluation pipelines, and CI/CD for models.
  • Work with hardware and systems teams on sensor selection, data collection protocol design, and validation methodology.
  • Document model development, training procedures, validation results, and known limitations to support regulatory submissions and internal quality systems.
  • Design and execute rigorous model validation: statistical test set design, distributional shift analysis, out-of-distribution detection, and confidence calibration, particularly for safety-relevant outputs.
  • Proactively identify data quality gaps, model failure modes, and deployment blockers before they reach production.

Qualifications:
  • 5+ years in machine learning engineering or applied ML, with a demonstrated track record of shipping models to production environments.
  • Programming: Strong proficiency in Python; hands-on experience with PyTorch or TensorFlow for model development and training.
  • Edge Deployment: Demonstrated experience optimizing and deploying models to edge or resource constrained targets using TFLite, ONNX, CoreML, TensorRT, or equivalent.
  • Data Engineering: Experience building and maintaining time-series or sensor data pipelines, including preprocessing, feature engineering, and data quality validation.
  • Model Optimization: Working knowledge of quantization, pruning, knowledge distillation, and other techniques for reducing model footprint and inference latency.
  • MLOps: Proficiency with experiment tracking tools (MLflow, Weights & Biases, or equivalent), model registries, and automated evaluation and testing workflows.
  • Software Engineering: Solid fundamentals - Git, code review, unit testing, and CI/CD - applied consistently to ML code, not just application code.
  • Cross-Domain Collaboration: Demonstrated ability to work autonomously across hardware and software domains, translate model behavior and limitations clearly to non-ML engineers, and surface risks and uncertainties early rather than at integration time.
  • Embedded Literacy: Working proficiency in C or C++ sufficient to read, review, and meaningfully collaborate on embedded inference integration code; ability to reason about memory layout, execution constraints, and cross-language interface boundaries.

Nice To Have:
  • Experience with physiological signal processing for medical or wearable applications (ECG, PPG, SpO2, NIBP, IMU, or similar sensor modalities).
  • Familiarity with FDA guidance on AI/ML-based Software as a Medical Device (SaMD) or practical experience developing software under IEC 62304.
  • Background in robotics or autonomous systems, including sensor fusion, perception, or closed-loop control.
  • Experience in a startup or small-team environment where scope, tooling, and process are built alongside the product.

What We Value
  • Ownership: you own the behavior of the physical system end to end, from fieldbus packet to actuator response, and you do not hand problems off at the first sign of ambiguity.
  • Self-motivation: you identify gaps in integration coverage, tooling, and system reliability on your own, and you close them without waiting to be asked.
  • Problem-solving depth: you are not satisfied with a system that works most of the time; you understand the failure modes, quantify the risk, and drive to root cause.
  • Curiosity and continuous learning: the intersection of AI and physical systems is new territory, and you are drawn to it rather than cautious of it.
  • Direct, clear communication: you write well, translate hardware constraints into software requirements for ML collaborators, and surface timing and safety risks early.

Education Requirements:
  • Bachelor's degree in Computer Science, Electrical Engineering, Applied Mathematics, Data Science, or a related field required.
  • Advanced degree is a plus but not a substitute for hands-on experience shipping models to real systems

Our Benefits:
Flexible Time Off: Benefit from our generous flexible time off policy. We also provide sick leave and bereavement time because we understand that not all time off is for fun.
Retirement Savings: Invest in your future with a 401(k)-retirement plan. Goddard contributes 3% of your annual salary directly into your 401(k) account-regardless of your own contributions.
Health Coverage:Access to comprehensive medical, dental, and vision insurance for you and your family. Goddard contributes 80% of monthly premiums for all medical plan options.
Family Support: To take the time you need to welcome the newest member of your family, Goddard offer 6 weeks fully paid parental leave with support of PFML state programs.
Company Engagement: Engage with your colleagues through a variety of regular company and team events, including weekly social hours, Athletic Club outings, and department outings.
The pay range for this role is:
140,000 - 165,000 USD per year (Wilmington Office)

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