Machine Learning Engineer Visa Sponsorship Jobs in Massachusetts
Massachusetts is one of the strongest states for machine learning engineer visa sponsorship, driven by Boston's dense concentration of tech, biotech, and AI research employers. Companies like Amazon, Microsoft, Google, IBM, and MIT Lincoln Laboratory hire regularly in Cambridge, Boston, and Waltham, making the state a consistent source of H-1B visa and O-1 visa sponsorship opportunities for ML engineers.
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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 Engineer Job Roles in Massachusetts
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Search Machine Learning Engineer Jobs in MassachusettsMachine Learning Engineer Jobs in Massachusetts: Frequently Asked Questions
Which companies sponsor visas for machine learning engineers in Massachusetts?
Major H-1B sponsors for machine learning engineers in Massachusetts include Amazon, Microsoft, Google, IBM, Meta, Wayfair, HubSpot, Biogen, and a dense cluster of AI-focused startups in Cambridge and Boston. MIT-affiliated spinouts and biotech firms increasingly hire ML engineers to build research infrastructure, making Massachusetts one of the more active states for employer-sponsored visa petitions in this role.
Which visa types are most common for machine learning engineer roles in Massachusetts?
The H-1B is by far the most common visa for machine learning engineers in Massachusetts, as the role meets USCIS specialty occupation requirements given its reliance on advanced degrees in computer science, statistics, or a related field. O-1A visas apply for engineers with exceptional ability or recognition. Some candidates with Canadian or Mexican citizenship use TN visa status under the computer systems analyst category, though ML-specific TN eligibility depends on the exact job duties.
Which cities in Massachusetts have the most machine learning engineer sponsorship jobs?
Cambridge and Boston together account for the majority of machine learning engineer sponsorship activity in Massachusetts, anchored by MIT, Harvard, and the surrounding tech and biotech corridor. Waltham and Burlington host significant employer campuses including Oracle, Raytheon, and Analog Devices. Somerville's Assembly Row and the Seaport District in Boston have also grown as hubs for AI-focused companies hiring internationally.
How to find machine learning engineer visa sponsorship jobs in Massachusetts?
Migrate Mate is built specifically for international candidates seeking visa sponsorship and filters machine learning engineer roles by state, so you can browse Massachusetts-specific openings from employers with verified sponsorship histories. Because sponsorship policies vary significantly even within large companies, focusing your search on employers with a documented track record of H-1B filings for ML engineers in Massachusetts gives you the clearest signal of where to apply.
Are there any state-specific considerations for machine learning engineers seeking sponsorship in Massachusetts?
Massachusetts has a highly competitive talent market anchored by MIT, Harvard, Northeastern, and Boston University, which means employers are accustomed to hiring internationally and navigating visa sponsorship. The state's concentration of federally funded research institutions and defense contractors means some roles require security clearances, which can complicate or preclude sponsorship for non-citizens. Prevailing wage requirements for H-1B petitions are set at the Boston-Cambridge-Newton metropolitan level and tend to be among the higher wage tiers nationally.
What is the prevailing wage for sponsored machine learning 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.