ML Software Engineer Visa Sponsorship Jobs in Massachusetts
Massachusetts is one of the strongest states for ML software engineer visa sponsorship, anchored by Greater Boston's concentration of AI research labs, biotech firms, and technology companies. Major employers including Amazon, Google, Microsoft, and HubSpot maintain significant engineering offices here, alongside MIT and Harvard spinouts that regularly hire ML engineers requiring H-1B visa sponsorship.
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Get Access To All JobsINTRODUCTION
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives.
When you join BMS, you are joining a high-achieving team united by a common mission.
The Informatics and Predictive Sciences (IPS) mission is to Pioneer, Partner and Predict to drive transformative insights for patient benefit. IPS conducts applied computational research in areas that include genomic, structural and molecular informatics, computational and systems biology, patient selection and translational biomarker research, and broader fields including knowledge science, epidemiology and machine learning—across the full lifecycle of drug discovery and development and across all therapeutic areas at BMS. We do this in close partnership with scientific and clinical experts in the field, both inside and outside the company. We perform innovative science to empower key data-driven decisions across a rich pipeline of next-generation medicines. In doing so, our work transforms the lives of patients, as well as our own lives and careers.
Here, you’ll get the chance to grow and thrive through opportunities that are uncommon in scale and scope. You’ll pursue innovative ideas while advancing professionally alongside some of the brightest minds in biopharma.
ROLE AND RESPONSIBILITIES
Senior Scientist in ML Methods for Spatial Biology
Within the Predictive Biology and AI team, we are seeking enthusiastic candidates for a Senior Scientist position focused on applying modern computational and machine learning methods to spatial biology and related life sciences data. The successful candidate will have a strong research background, a track record of independent scientific contributions, relevant publications, experience solving technical problems creatively, and the ability to implement, evaluate, and adapt computational methods based on current research.
The successful candidate will be based in Cambridge, MA or Lawrenceville, NJ and will serve as scientific partner for experimental and computational collaborators focused on translational research at those sites while being a member of a geographically distributed team of exceptional machine learning researchers. This role requires strong communication skills, comfort working independently in a distributed environment, and a proactive approach to building productive scientific relationships across disciplines and locations.
The candidate will work as part of a multidisciplinary team focused on bringing advanced ML/AI approaches to impactful biological questions. They will collaborate with computational and experimental scientists with expertise in machine learning, structural biology, chemistry, cell therapy, and gene therapy. We encourage applications from candidates with a background in computational method development and an interest in applying innovative computational approaches to life sciences data.
- Participate in a growing effort to apply advanced computational techniques to the development of novel therapies for neurologic disease, cancer, and hematologic malignancies.
- Act as a local scientific partner and point of connection for experimental and computational collaborators at the Cambridge or Lawrenceville site, enabling effective cross-functional collaboration with a primarily Europe-based team.
- Analyze spatial and other omics data, including spatial transcriptomics, single-cell RNA-seq, ATAC-seq, and related data types.
- Develop, refine, and evaluate computational methods, ML models, and workflows for large biological datasets.
- Formulate translational and discovery questions as computational problems, interpret model outputs in biologically meaningful ways, and generate hypotheses that can guide experimental biology.
- Creatively propose hypotheses and test them rigorously.
- Author scientific reports and present methods, results, and conclusions to a publishable standard.
BASIC QUALIFICATIONS
- Bachelor's Degree 7+ years of academic / industry experience
- Or Master's Degree 5+ years of academic / industry experience
- Or PhD 2+ years of academic / industry experience
PREFERRED QUALIFICATIONS
- Ph.D. in machine learning, bioinformatics, computational biology, or a related technical field.
- Experience applying contemporary computational methods to biological problems.
- Publication record in relevant conferences or journals.
- Experience applying and/or developing ML methods to bioimaging, bioinformatics, single-cell omics, or spatial omics problems.
- Experience with at least one ML framework, such as scikit-learn, PyTorch, or TensorFlow.
- Fluency in written and spoken English. Intense curiosity about the biology of disease and eagerness to contribute to interdisciplinary scientific and computational efforts.
- Demonstrated ability to work independently in a distributed team environment, with strong communication skills and a proactive approach to cross-functional collaboration.
- For senior scientist, two or more years of postdoctoral experience in a relevant field.
- Experience analyzing clinical trial-derived data or images to address translational research questions or applying omics data analysis to public datasets for target discovery and prioritization.
- Prior research experience in pharma, biotech, academic, or hospital environments.
- Experience managing multimodal data, including omics, imaging, or time-series signals.
- Experience using cloud-based computing and software engineering tools or frameworks, such as Docker or Git.
Around the world, we are passionate about making an impact on the lives of patients with serious diseases. Empowered to apply our individual talents and diverse perspectives in an inclusive culture, our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives.
If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
COMPENSATION OVERVIEW:
Cambridge Crossing: $148,210 - $179,601
Princeton - NJ - US: $128,890 - $156,179
The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee’s work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.
Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit our careers site.
Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include:
- Health Coverage: Medical, pharmacy, dental, and vision care.
- Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
- Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
WORK-LIFE BENEFITS INCLUDE:
Paid Time Off
- US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)
- Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays
Based on eligibility, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.
All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.
ON-SITE PROTOCOL
BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:
Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.
SUPPORTING PEOPLE WITH DISABILITIES
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit our careers site to access our complete Equal Employment Opportunity statement.
CANDIDATE RIGHTS
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
If you live in or expect to work from Los Angeles County if hired for this position, please visit our careers site for important additional information.
DATA PROTECTION
We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at our careers site.
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com. Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.
R1604415 : Senior Scientist in ML Methods for Spatial Biology
INTRODUCTION
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives.
When you join BMS, you are joining a high-achieving team united by a common mission.
The Informatics and Predictive Sciences (IPS) mission is to Pioneer, Partner and Predict to drive transformative insights for patient benefit. IPS conducts applied computational research in areas that include genomic, structural and molecular informatics, computational and systems biology, patient selection and translational biomarker research, and broader fields including knowledge science, epidemiology and machine learning—across the full lifecycle of drug discovery and development and across all therapeutic areas at BMS. We do this in close partnership with scientific and clinical experts in the field, both inside and outside the company. We perform innovative science to empower key data-driven decisions across a rich pipeline of next-generation medicines. In doing so, our work transforms the lives of patients, as well as our own lives and careers.
Here, you’ll get the chance to grow and thrive through opportunities that are uncommon in scale and scope. You’ll pursue innovative ideas while advancing professionally alongside some of the brightest minds in biopharma.
ROLE AND RESPONSIBILITIES
Senior Scientist in ML Methods for Spatial Biology
Within the Predictive Biology and AI team, we are seeking enthusiastic candidates for a Senior Scientist position focused on applying modern computational and machine learning methods to spatial biology and related life sciences data. The successful candidate will have a strong research background, a track record of independent scientific contributions, relevant publications, experience solving technical problems creatively, and the ability to implement, evaluate, and adapt computational methods based on current research.
The successful candidate will be based in Cambridge, MA or Lawrenceville, NJ and will serve as scientific partner for experimental and computational collaborators focused on translational research at those sites while being a member of a geographically distributed team of exceptional machine learning researchers. This role requires strong communication skills, comfort working independently in a distributed environment, and a proactive approach to building productive scientific relationships across disciplines and locations.
The candidate will work as part of a multidisciplinary team focused on bringing advanced ML/AI approaches to impactful biological questions. They will collaborate with computational and experimental scientists with expertise in machine learning, structural biology, chemistry, cell therapy, and gene therapy. We encourage applications from candidates with a background in computational method development and an interest in applying innovative computational approaches to life sciences data.
- Participate in a growing effort to apply advanced computational techniques to the development of novel therapies for neurologic disease, cancer, and hematologic malignancies.
- Act as a local scientific partner and point of connection for experimental and computational collaborators at the Cambridge or Lawrenceville site, enabling effective cross-functional collaboration with a primarily Europe-based team.
- Analyze spatial and other omics data, including spatial transcriptomics, single-cell RNA-seq, ATAC-seq, and related data types.
- Develop, refine, and evaluate computational methods, ML models, and workflows for large biological datasets.
- Formulate translational and discovery questions as computational problems, interpret model outputs in biologically meaningful ways, and generate hypotheses that can guide experimental biology.
- Creatively propose hypotheses and test them rigorously.
- Author scientific reports and present methods, results, and conclusions to a publishable standard.
BASIC QUALIFICATIONS
- Bachelor's Degree 7+ years of academic / industry experience
- Or Master's Degree 5+ years of academic / industry experience
- Or PhD 2+ years of academic / industry experience
PREFERRED QUALIFICATIONS
- Ph.D. in machine learning, bioinformatics, computational biology, or a related technical field.
- Experience applying contemporary computational methods to biological problems.
- Publication record in relevant conferences or journals.
- Experience applying and/or developing ML methods to bioimaging, bioinformatics, single-cell omics, or spatial omics problems.
- Experience with at least one ML framework, such as scikit-learn, PyTorch, or TensorFlow.
- Fluency in written and spoken English. Intense curiosity about the biology of disease and eagerness to contribute to interdisciplinary scientific and computational efforts.
- Demonstrated ability to work independently in a distributed team environment, with strong communication skills and a proactive approach to cross-functional collaboration.
- For senior scientist, two or more years of postdoctoral experience in a relevant field.
- Experience analyzing clinical trial-derived data or images to address translational research questions or applying omics data analysis to public datasets for target discovery and prioritization.
- Prior research experience in pharma, biotech, academic, or hospital environments.
- Experience managing multimodal data, including omics, imaging, or time-series signals.
- Experience using cloud-based computing and software engineering tools or frameworks, such as Docker or Git.
Around the world, we are passionate about making an impact on the lives of patients with serious diseases. Empowered to apply our individual talents and diverse perspectives in an inclusive culture, our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives.
If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
COMPENSATION OVERVIEW:
Cambridge Crossing: $148,210 - $179,601
Princeton - NJ - US: $128,890 - $156,179
The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee’s work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.
Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit our careers site.
Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include:
- Health Coverage: Medical, pharmacy, dental, and vision care.
- Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
- Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
WORK-LIFE BENEFITS INCLUDE:
Paid Time Off
- US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)
- Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays
Based on eligibility, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.
All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.
ON-SITE PROTOCOL
BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:
Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.
SUPPORTING PEOPLE WITH DISABILITIES
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit our careers site to access our complete Equal Employment Opportunity statement.
CANDIDATE RIGHTS
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
If you live in or expect to work from Los Angeles County if hired for this position, please visit our careers site for important additional information.
DATA PROTECTION
We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at our careers site.
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com. Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.
R1604415 : Senior Scientist in ML Methods for Spatial Biology
ML Software Engineer Job Roles in Massachusetts
See all 821+ ML Software Engineer Jobs in Massachusetts
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Search ML Software Engineer Jobs in MassachusettsML Software Engineer Jobs in Massachusetts: Frequently Asked Questions
Which companies sponsor visas for ML software engineers in Massachusetts?
Several large technology and life sciences employers in Massachusetts have consistent H-1B sponsorship records for ML software engineers. Amazon, Google, Microsoft, HubSpot, Wayfair, Biogen, and Moderna have all filed LCAs for ML-related roles in the state. Boston-area AI startups and research-driven firms spun out of MIT and Harvard also sponsor, though their hiring volumes are smaller and less predictable than established technology employers.
Which visa types are most common for ML software engineer roles in Massachusetts?
The H-1B is by far the most common visa for ML software engineers in Massachusetts, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, machine learning, or a related field. OPT and STEM OPT extensions are also widely used by recent graduates from Massachusetts universities. Candidates with extraordinary ability may pursue the O-1A, though it requires substantial documentation of achievement.
Which cities in Massachusetts have the most ML software engineer sponsorship jobs?
Greater Boston, including Cambridge and Somerville, concentrates the overwhelming majority of ML software engineer sponsorship opportunities in Massachusetts. Cambridge is particularly dense, home to major technology offices and research institutions including MIT. Burlington and Waltham along Route 128 host a secondary cluster of technology and life sciences employers. Outside this corridor, sponsorship opportunities drop off significantly.
How to find ml software engineer visa sponsorship jobs in Massachusetts?
Migrate Mate is a job board built specifically for international candidates seeking visa sponsorship in the U.S., including ML software engineer roles in Massachusetts. You can filter directly by state and job category to surface employers who have active openings and a documented history of sponsoring work visas. This saves considerable time compared to manually researching which Massachusetts employers support H-1B or OPT candidates.
Are there state-specific considerations for ML software engineers seeking sponsorship in Massachusetts?
Massachusetts benefits from one of the deepest ML talent pipelines in the country, fed by MIT, Harvard, Northeastern, and Boston University. This means competition for sponsored roles is high, particularly at well-known employers. The state's strong life sciences sector also creates ML engineering demand outside pure technology companies, with pharmaceutical and medical device firms increasingly hiring for applied ML roles. Prevailing wage requirements apply statewide and are determined by the Department of Labor based on the specific job location and level.
What is the prevailing wage for sponsored ml software 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.