ML Engineer Visa Sponsorship Jobs in Massachusetts
Massachusetts is one of the strongest states for ML engineer visa sponsorship, with major employers like Amazon, Microsoft, HubSpot, and Wayfair concentrated in Greater Boston and Cambridge. The Route 128 tech corridor and a dense cluster of biotech and AI research firms create steady demand for machine learning talent requiring H-1B and other work visa support.
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INTRODUCTION
Kforce has a client in Boston, MA that is seeking an AI/ML Engineer.
Responsibilities
- Build & Deploy: Rapidly build proof of concepts using AI tools and deploy them at scale to prove value
- Evolve Infrastructure: Support and evolve our internal AI infrastructure to ensure our pilots have a robust foundation
- Innovate: Scout and evaluate the latest AI technologies to identify high-value opportunities for the firm
- Technical design and analysis skills and an ability to balance ambiguity and work in fast-paced environment
- Superb communication and collaboration skills through both written and verbal channels
- A proven track record of rapidly mastering new concepts and programming libraries
- Ability to understand and adapt to changing business priorities and technology advancements
- Driving Innovation and implementing solutions with future thinking
- Collaborating with internal and external teams to deliver technology solutions for the business needs
- Resolving technical roadblocks and mitigating risks to keep projects moving fast
- Acting as a technical mentor to the team and bringing them up to speed on the latest data technologies and promoting continuous learning
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Engineering, Physics or a related field with 5 years of relevant work experience, or relevant graduate studies
- Proficiency in Python (essential for AI) and familiarity with Java/NodeJS
- Experience with modern frontend frameworks (e.g., Angular, React, Typescript) is a plus
- Strong experience with REST API development, database management (PostgreSQL, Oracle), and DevOps practices (CI/CD, containerization, Kubernetes, Cloud)
- Hands-on experience working with LLMs for information retrieval and data science problems
- Familiarity with multi-agent systems, tool calling, and workflow orchestration (e.g., LangChain, LlamaIndex)
- Proven ability to develop end-to-end integrations, connecting backend AI services with user-facing applications
COMPENSATION
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
BENEFITS
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

INTRODUCTION
Kforce has a client in Boston, MA that is seeking an AI/ML Engineer.
Responsibilities
- Build & Deploy: Rapidly build proof of concepts using AI tools and deploy them at scale to prove value
- Evolve Infrastructure: Support and evolve our internal AI infrastructure to ensure our pilots have a robust foundation
- Innovate: Scout and evaluate the latest AI technologies to identify high-value opportunities for the firm
- Technical design and analysis skills and an ability to balance ambiguity and work in fast-paced environment
- Superb communication and collaboration skills through both written and verbal channels
- A proven track record of rapidly mastering new concepts and programming libraries
- Ability to understand and adapt to changing business priorities and technology advancements
- Driving Innovation and implementing solutions with future thinking
- Collaborating with internal and external teams to deliver technology solutions for the business needs
- Resolving technical roadblocks and mitigating risks to keep projects moving fast
- Acting as a technical mentor to the team and bringing them up to speed on the latest data technologies and promoting continuous learning
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Engineering, Physics or a related field with 5 years of relevant work experience, or relevant graduate studies
- Proficiency in Python (essential for AI) and familiarity with Java/NodeJS
- Experience with modern frontend frameworks (e.g., Angular, React, Typescript) is a plus
- Strong experience with REST API development, database management (PostgreSQL, Oracle), and DevOps practices (CI/CD, containerization, Kubernetes, Cloud)
- Hands-on experience working with LLMs for information retrieval and data science problems
- Familiarity with multi-agent systems, tool calling, and workflow orchestration (e.g., LangChain, LlamaIndex)
- Proven ability to develop end-to-end integrations, connecting backend AI services with user-facing applications
COMPENSATION
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
BENEFITS
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
ML Engineer Job Roles in Massachusetts
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Search ML Engineer Jobs in MassachusettsML Engineer Jobs in Massachusetts: Frequently Asked Questions
Which companies sponsor visas for ML engineers in Massachusetts?
Several large employers in Massachusetts have a documented history of sponsoring work visas for ML engineers. Amazon, Microsoft, Wayfair, HubSpot, and Biogen consistently file H-1B petitions for machine learning roles. Boston-area AI startups and biotech firms, including those clustered around Kendall Square in Cambridge, also sponsor regularly, though their volume is smaller than enterprise employers.
Which visa types are most common for ML engineer roles in Massachusetts?
The H-1B is by far the most common visa for ML engineers in Massachusetts, as the role qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with extraordinary ability may qualify for the O-1A. Recent graduates on F-1 OPT, particularly those with STEM degrees, can work for up to three years before needing employer-sponsored H-1B status.
How to find ml engineer visa sponsorship jobs in Massachusetts?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it easier to identify ML engineer roles in Massachusetts where employers are actively open to sponsoring. Rather than sorting through general job boards, you can search directly for machine learning positions in Boston, Cambridge, and surrounding tech hubs where sponsorship is confirmed, saving time during a job search that often runs on a tight visa timeline.
Which cities in Massachusetts have the most ML engineer sponsorship jobs?
Boston and Cambridge together account for the majority of ML engineer sponsorship activity in Massachusetts. Cambridge's Kendall Square is particularly dense with AI-focused companies and research institutions. Waltham and Burlington along the Route 128 corridor host established tech and biotech employers who regularly sponsor. Worcester has a smaller but growing presence tied to university-affiliated research and regional tech employers.
Are there any Massachusetts-specific factors ML engineers should know about visa sponsorship?
Massachusetts employers sponsoring H-1B workers must meet Department of Labor prevailing wage requirements, which in the Boston metro area reflect a high-cost, competitive market for ML talent. The state's strong university pipeline, including MIT, Harvard, and Northeastern, means many sponsored candidates transition from F-1 OPT. Biotech and AI research firms in the area often sponsor for highly specialized roles, which can strengthen the specialty occupation determination in an H-1B petition.
What is the prevailing wage for sponsored ml engineer jobs in Massachusetts?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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