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Hugging Face Jobs in Massachusetts (NOW HIRING)

Motion Recruitment

Senior Data Scientist

Boston, MA · On-site

... Hugging Face, and OpenAI APIs • Experience with cloud platforms such as AWS, GCP, or Azure • Experience working with scalable data technologies including Airflow, dbt, Spark, BigQuery, and ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Experience with distributed training (PyTorch Distributed, DeepSpeed, Ray, Hugging Face Accelerate). * Experience with GPU/TPU optimization, memory management for large language models. * Experience ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Experience with distributed training (PyTorch Distributed, DeepSpeed, Ray, Hugging Face Accelerate). * Experience with GPU/TPU optimization, memory management for large language models. * Experience ...

Manulife Financial

Senior Data Scientist

Boston, MA · On-site

$107.45 - $199.55/hr

Proficiency in programming languages such as Python and experience with machine learning libraries/frameworks, e.g., PyTorch, scikit‑learn, Hugging Face, SQL, graph databases (Neo4j/Cypher, Cosmos ...

New

Granite Telecommunications

Lead AI Engineer

Quincy, MA · On-site

$180K - $280K/yr

Strong programming skills in Python, familiarity with libraries/frameworks such as PyTorch, TensorFlow, Hugging Face, and LangChain. * Demonstrated expertise with LLM fine-tuning (e.g., LoRA, PEFT ...

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Showing results 21-40

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How much do hugging face jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for hugging face in Massachusetts is $16.88, according to ZipRecruiter salary data. Most workers in this role earn between $14.18 and $19.95 per hour, depending on experience, location, and employer.

What is the difference between Hugging Face vs Machine Learning Engineer?

AspectHugging FaceMachine Learning Engineer
Required CredentialsTypically requires knowledge of NLP, deep learning, and Python; certifications are optionalRequires degrees in CS or related fields; experience with ML frameworks; certifications beneficial
Work EnvironmentCollaborative, research-focused, often in tech companies or startupsDevelopment, deployment, and optimization of ML models in various industries
Employer & Industry UsageUsed by AI/ML companies, research labs, and open-source communitiesEmployed across tech, finance, healthcare, and other sectors implementing ML solutions

Hugging Face primarily focuses on NLP tools, libraries, and open-source models, serving as a platform for AI research and development. Machine Learning Engineers develop, implement, and optimize ML models across various domains. While Hugging Face offers resources and tools that ML Engineers use, the roles differ: Hugging Face is a platform, whereas Machine Learning Engineer is a job role involving hands-on model development and deployment.

What are popular job titles related to Hugging Face jobs in Massachusetts? For Hugging Face jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Hugging Face jobs in Massachusetts look for? The top searched job categories for Hugging Face jobs in Massachusetts are:
What cities in Massachusetts are hiring for Hugging Face jobs? Cities in Massachusetts with the most Hugging Face job openings:
Hugging Face jobs near you
Infographic showing various Hugging Face job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $35,113 per year, or $16.9 per hour.

Senior Data Scientist

Motion Recruitment Partners, LLC

Boston, MA • On-site

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description


Full-time opportunity for a Senior Data Scientist to join a premier economics, technology, and strategy consulting firm. This role focuses on applying advanced analytics, machine learning, and AI technologies to solve complex business, regulatory, litigation, and policy challenges involving emerging technologies, cybersecurity, competition, and digital platforms.
This is a highly visible role for an experienced data scientist who wants to work on some of the most challenging and impactful analytical problems in the market. You'll partner with economists, strategists, legal experts, and technologists to transform complex datasets into defensible insights that influence business strategy, regulatory outcomes, and high-profile litigation matters. The role offers the opportunity to build cutting-edge AI and machine learning solutions while helping shape the firm's growing data science and AI capabilities.
Required Skills & Experience
Master's or PhD in Computer Science, Engineering, Statistics, Applied Mathematics, or a related technical field
6+ years of professional experience in Data Science, Machine Learning, or Applied Analytics
2+ years of experience working within the GCC region
Strong expertise in AI/ML, NLP, statistical modeling, and advanced analytics
Proficiency in Python, R, and SQL
Experience with modern machine learning frameworks including PyTorch, TensorFlow, scikit-learn, Hugging Face, and OpenAI APIs
Experience with cloud platforms such as AWS, Google Cloud Platform, or Azure
Experience working with scalable data technologies including Airflow, dbt, Spark, BigQuery, and Snowflake
Strong communication skills with the ability to explain complex findings to technical and non-technical audiences
Proven leadership experience managing projects and mentoring technical teams
Desired Skills & Experience
Experience applying AI and machine learning within regulated industries
Experience supporting litigation, regulatory, risk, cybersecurity, or economic analysis initiatives
Familiarity with large language models, generative AI, and agentic systems
Experience working in consulting or professional services environments
Experience building reusable analytical frameworks and internal tooling
Strong interest in emerging technology policy and digital regulation
What You Will Be Doing
Tech Breakdown
40% Machine Learning & AI Development
25% Statistical Analysis & Modeling
20% Data Engineering & Cloud Infrastructure
15% Client Advisory & Research
Daily Responsibilities
70% Hands On
10% Mentorship & Technical Leadership
20% Team Collaboration
Design and deploy advanced analytical models and machine learning solutions
Build, evaluate, and operationalize machine learning and LLM-based systems
Develop scalable analytical pipelines and data workflows
Apply statistical, econometric, and machine learning techniques to complex business problems
Partner with consultants, economists, and legal experts to translate technical findings into actionable recommendations
Serve as a technical advisor on AI, cybersecurity, and digital transformation engagements
Mentor junior data scientists and engineers on modeling, experimentation, and engineering best practices
Contribute to the development of internal tools, frameworks, and reusable analytical assets
Present analytical findings to both technical and executive audiences
Participate in thought leadership and knowledge-sharing initiatives across the firm's AI and data science community
The Offer
Competitive salary plus annual discretionary bonus
You will receive the following benefits:
Medical Insurance
Dental Benefits
Vision Benefits
Paid Time Off (PTO)
Pension Contributions
Annual Bonus Opportunity
Professional Development Opportunities
Applicants must be currently authorized to work in the applicable region on a full-time basis now and in the future.

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