Machine Learning Visa Sponsorship Jobs in Massachusetts
Massachusetts is one of the strongest states for machine learning visa sponsorship, anchored by tech and biotech employers in Greater Boston, Cambridge, and the Route 128 corridor. Companies like Google, Microsoft, Amazon, and IBM have significant ML operations here, alongside AI-focused startups and research institutions including MIT and Harvard that fuel a deep local talent pipeline.
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Get Access To All JobsINTRODUCTION
Bracebridge Capital, LLC is a leading alternative asset manager with approximately $12 billion of net assets under management. The firm pursues investment strategies primarily within the global fixed income markets with the objectives of capital preservation and absolute return without significant correlation to equity, interest rate and foreign exchange markets. Established in 1994, Bracebridge manages private investment funds that serve endowments, foundations, pension funds and other institutional and high-net-worth investors. Approximately 170 employees operate from our office located in Boston’s historic Back Bay. The entrepreneurial and collaborative culture at Bracebridge rewards and supports motivated, dedicated, enthusiastic and intellectually curious individuals. We believe our firm’s greatest asset is the people who work here. We are seeking a Machine Learning Analyst to join the growing data analytics and machine learning team. The team’s primary mission is to develop machine learning systems to answer open-ended investment questions and support portfolio management decisions. The team works across the project lifecycle and technical stack, from ideation, understanding and analyzing data, hypothesis generation and testing, and model development all the way through to the deployment and maintenance of models and systems in production. Our work spans statistical modeling, classical machine learning, and modern AI and LLM techniques. The Machine Learning Analyst’s primary responsibility will be to contribute to these efforts alongside other team members. Over time, you will develop the technical and domain expertise needed to take increasing ownership of individual components and ultimately end-to-end projects. The work is highly collaborative and spans quantitative research, software engineering, and machine learning. Analysts work with other members of the machine learning team and portfolio managers to translate loosely defined investment ideas into practical tools and models. Successful candidates will have solid programming foundations, be comfortable translating between qualitative and quantitative descriptions of problems and be excited to build data analysis and machine learning systems against the backdrop of portfolio management. Since the team works closely with trading floor personnel to assist with portfolio management decision-making, an interest in economic and financial markets is essential, but no specific prior experience is necessary. This role is open to candidates available to begin in the near term, as well as students expecting to complete their undergraduate degree between Fall 2026 and Summer 2027. Start dates will be determined based on candidate availability and, for students, degree completion.
Responsibilities
- Collaborate closely with Machine Learning team members, portfolio managers, and researchers to translate open-ended investment questions into well-defined analytical and machine learning problems
- Develop and evaluate data-driven machine learning and quantitative models, including simulation- and optimization-based approaches, for investment-related problems
- Contribute to maintaining existing models and analytic tools in production
- Over time, take ownership of individual features and components and full projects
- Clearly document and communicate methods, assumptions, results, and limitations of models to other researchers and trading professionals across the firm
- Stay current with relevant new techniques and technologies in machine learning and artificial intelligence, particularly as they pertain to finance and investing
BASIC QUALIFICATIONS
- Bachelor’s degree (or equivalent) in a rigorous quantitative field
- 0-2 years of experience through industry internships, undergraduate research or thesis, or substantial independent technical projects involving software development, data analysis, or machine learning
- Proficiency in Python and familiarity with the Python data science stack (NumPy, SciPy, Pandas, scikit-learn, etc), with experience in other languages a plus
- Experience working with and analyzing data from multiple sources and in multiple formats
- Familiarity with machine learning and statistical modeling fundamentals, including model evaluation and experimental design
- Demonstrated ability to independently scope and execute open-ended technical projects
- Interest in financial markets, intellectual curiosity, and comfort in working on open-ended problems
- Strong written and verbal communication skills
COMPENSATION
Current anticipated annual base salary range: $110,000 - $145,000. Base salary within the range will be determined by various factors including but not limited to the individual's experience, skills and qualifications.
INTRODUCTION
Bracebridge Capital, LLC is a leading alternative asset manager with approximately $12 billion of net assets under management. The firm pursues investment strategies primarily within the global fixed income markets with the objectives of capital preservation and absolute return without significant correlation to equity, interest rate and foreign exchange markets. Established in 1994, Bracebridge manages private investment funds that serve endowments, foundations, pension funds and other institutional and high-net-worth investors. Approximately 170 employees operate from our office located in Boston’s historic Back Bay. The entrepreneurial and collaborative culture at Bracebridge rewards and supports motivated, dedicated, enthusiastic and intellectually curious individuals. We believe our firm’s greatest asset is the people who work here. We are seeking a Machine Learning Analyst to join the growing data analytics and machine learning team. The team’s primary mission is to develop machine learning systems to answer open-ended investment questions and support portfolio management decisions. The team works across the project lifecycle and technical stack, from ideation, understanding and analyzing data, hypothesis generation and testing, and model development all the way through to the deployment and maintenance of models and systems in production. Our work spans statistical modeling, classical machine learning, and modern AI and LLM techniques. The Machine Learning Analyst’s primary responsibility will be to contribute to these efforts alongside other team members. Over time, you will develop the technical and domain expertise needed to take increasing ownership of individual components and ultimately end-to-end projects. The work is highly collaborative and spans quantitative research, software engineering, and machine learning. Analysts work with other members of the machine learning team and portfolio managers to translate loosely defined investment ideas into practical tools and models. Successful candidates will have solid programming foundations, be comfortable translating between qualitative and quantitative descriptions of problems and be excited to build data analysis and machine learning systems against the backdrop of portfolio management. Since the team works closely with trading floor personnel to assist with portfolio management decision-making, an interest in economic and financial markets is essential, but no specific prior experience is necessary. This role is open to candidates available to begin in the near term, as well as students expecting to complete their undergraduate degree between Fall 2026 and Summer 2027. Start dates will be determined based on candidate availability and, for students, degree completion.
Responsibilities
- Collaborate closely with Machine Learning team members, portfolio managers, and researchers to translate open-ended investment questions into well-defined analytical and machine learning problems
- Develop and evaluate data-driven machine learning and quantitative models, including simulation- and optimization-based approaches, for investment-related problems
- Contribute to maintaining existing models and analytic tools in production
- Over time, take ownership of individual features and components and full projects
- Clearly document and communicate methods, assumptions, results, and limitations of models to other researchers and trading professionals across the firm
- Stay current with relevant new techniques and technologies in machine learning and artificial intelligence, particularly as they pertain to finance and investing
BASIC QUALIFICATIONS
- Bachelor’s degree (or equivalent) in a rigorous quantitative field
- 0-2 years of experience through industry internships, undergraduate research or thesis, or substantial independent technical projects involving software development, data analysis, or machine learning
- Proficiency in Python and familiarity with the Python data science stack (NumPy, SciPy, Pandas, scikit-learn, etc), with experience in other languages a plus
- Experience working with and analyzing data from multiple sources and in multiple formats
- Familiarity with machine learning and statistical modeling fundamentals, including model evaluation and experimental design
- Demonstrated ability to independently scope and execute open-ended technical projects
- Interest in financial markets, intellectual curiosity, and comfort in working on open-ended problems
- Strong written and verbal communication skills
COMPENSATION
Current anticipated annual base salary range: $110,000 - $145,000. Base salary within the range will be determined by various factors including but not limited to the individual's experience, skills and qualifications.
Machine Learning Job Roles in Massachusetts
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Search Machine Learning Jobs in MassachusettsMachine Learning Jobs in Massachusetts: Frequently Asked Questions
Which companies sponsor visas for machine learning roles in Massachusetts?
Major sponsors for machine learning roles in Massachusetts include Google, Amazon, Microsoft, IBM, and Meta, all of which have substantial engineering presence in the Greater Boston area. Biotech and life sciences companies such as Biogen and Moderna also hire ML engineers for research applications. Beyond large employers, AI-focused startups in Cambridge and Boston's Seaport District are active sponsors, particularly for senior and specialized ML positions.
Which visa types are most common for machine learning roles in Massachusetts?
The H-1B visa is the most common visa for machine learning professionals in Massachusetts, as ML engineer and research scientist roles typically qualify as specialty occupations requiring at least a bachelor's degree in computer science, mathematics, or a related field. Candidates with exceptional publication records or industry recognition may qualify for the O-1A. Some researchers enter through J-1 visa exchange visitor programs tied to MIT, Harvard, or other institutions before transitioning to employer-sponsored status.
Which cities in Massachusetts have the most machine learning sponsorship jobs?
Cambridge and Boston together account for the majority of machine learning sponsorship jobs in Massachusetts, driven by proximity to MIT, Harvard, and a dense concentration of AI research labs and tech employers. The Route 128 corridor, including Waltham, Burlington, and Lexington, hosts established enterprise tech companies with regular ML hiring. Worcester has a smaller but growing presence tied to WPI and regional healthcare technology employers.
How to find machine learning visa sponsorship jobs in Massachusetts?
Migrate Mate is built specifically for international job seekers and filters machine learning roles in Massachusetts by visa sponsorship availability, saving you from manually screening thousands of listings. The platform surfaces employers with verified sponsorship history across Greater Boston, Cambridge, and the Route 128 corridor. Because ML hiring in Massachusetts spans large tech firms, biotech companies, and AI startups, using a focused tool like Migrate Mate helps you target roles where sponsorship is a realistic expectation.
Are there any state-specific considerations for machine learning visa sponsorship in Massachusetts?
Massachusetts employers sponsoring H-1B workers must pay at least the prevailing wage for the specific ML role and location, which is determined by Department of Labor data and tends to reflect the state's competitive compensation environment. The concentration of research universities in Massachusetts also means many ML professionals enter the workforce through OPT or STEM OPT extensions before securing employer sponsorship, making early engagement with potential sponsors during academic programs a practical consideration.
What is the prevailing wage for sponsored machine learning 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.