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Machine Learning Contract Jobs in Boston, MA (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 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

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

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

Quincy, 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

Lynn, 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

Brockton, 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

Cambridge, 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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All JobsMachine Learning Contract JobsMachine Learning Contract Jobs in Boston, MA

Machine Learning Contract information

See Boston, MA salary details

$15

$24

$33

How much do machine learning contract jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for machine learning contract in Boston, MA is $24.79, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $27.69 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 Boston, MA? The most popular types of Machine Learning jobs in Boston, MA are:
What are popular job titles related to Machine Learning Contract jobs in Boston, MA? For Machine Learning Contract jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Contract jobs in Boston, MA look for? The top searched job categories for Machine Learning Contract jobs in Boston, MA are:
What cities near Boston, MA are hiring for Machine Learning Contract jobs? Cities near Boston, MA with the most Machine Learning Contract job openings:
Machine Learning Contract jobs near you
Infographic showing various Machine Learning Contract job openings in Boston, MA as of June 2026, with employment types broken down into 82% Full Time, 16% Part Time, 1% Temporary, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $51,569 per year, or $24.8 per hour.
Machine Learning and AI Opportunities

Machine Learning and AI Opportunities

SharkNinja

Needham, MA • Remote

Other

Posted 4 days ago

Job description

Note:  This is a Pipeline Opening and Not Tied to A Specific Opening

The AI Product Manager owns strategy, roadmap, and delivery for AI initiatives across the enterprise. This role translates business objectives into a clear prioritized backlog, collaborating with engineering teams and external partners to deliver impactful solutions that drive measurable business impact through revenue growth or new operational efficiencies. The Product Manager works closely with Global Data Product Management, including Data and MDM, to ensure AI products are built on trusted, standardized data foundations. The role requires strong judgment in application integrations and build vs. buy tradeoffs, balancing speed, cost, and enterprise standards.

Key Responsibilities

Area

What You'll Own

Product Strategy & Vision

Define a 3-9-month AI roadmap aligned to company strategic goals, with clear problem statements and value hypotheses to maximize value.

Portfolio & Roadmap

Convert strategy into prioritized increments with PRDs, acceptance criteria, and release plans; keep a transparent backlog.

Evaluation & Experimentation

Own evaluation for AI features: offline tests, human and automated evals, and online A/B experiments to optimize quality, latency, and cost effectiveness. Publish decision logs for model, prompt, and dataset changes.

Responsible AI & Guardrails

Define safety, privacy, and compliance requirements; implement guardrails and review rituals with Security and Legal; ensure traceability of data, prompts, and outputs.

Application Integrations

Define product requirements for API-first and event driven integrations across CRM/ERP/eCommerce and data platforms; align on data contracts, SLAs, auth/PII handling, and system  observability with Platform teams.

Build vs Buy

Lead structured tradeoff analyses (TTV, TCO, vendor lock in, differentiation, compliance). Run proofs of value with vendors when needed and  recommend paths forward, highlighting risks and contingency plans..

CrossFunctional Leadership

Lead squads spanning ML Engineering, MLOps, Data Engineering, Analytics, and Business stakeholders; keep scope, risks, and dependencies visible.

Impact Measurement

Define clear KPIs that connect business outcomes to product performance, and provide executives with simple, actionable reporting against those targets.

Partnerships

Collaborate with Director, ML and AI, Security, Legal, Procurement, and Global Data Product Management (Data and MDM) to align standards, governance, and delivery.

 

Required Qualifications

  • 5+ years in product management with shipped data or AI features tied to measurable outcomes.
  • Proven ownership of evaluation and experimentation for AI features (offline metrics, human/auto evals, and A/B testing).
  • Handson experiences driving application integrations at enterprise scale (APIled and iPaaS patterns, SLAs, data contracts, identity).
  • Demonstrated ability to lead build vs. buy decisions, supported by clear financial models and risk analyses.
  • Excellent executive communication and stakeholder leadership.

Preferred Qualifications

  • Experience optimizing Amazon sales and ad channels.
  • Experience with Salesforce Cloud and CDP integrations.
  • Exposure to LLMOps practices (prompt versioning, guardrails, eval frameworks), vector search/RAG, or model observability.

 Success Metrics (first 12 months)

  • AI roadmap approved and in execution within 90 days.At least two AI product increments shipped with adoption targets met.
  • Application integrations delivered on time with measurable data quality and reliability improvements.
  • At least two major technology decisions completed with a formal build vs. Buy analysis and exec approval.
  • AI initiatives deliver a minimum 5x ROI on Capex investments, contributing directly to revenue growth.

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