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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INTRODUCTION
What if you could join a rapidly growing company and play a critical role in bringing new medicines to patients through looking at and treating disease in a revolutionary way.
ABOUT THE JOB
We seek a Machine Learning Scientist to join our ML team and lead focused efforts in applying and adapting proprietary foundation models to enable Cellarity’s predictive drug discovery platform. As a lead ML Scientist the candidate will develop and apply AI methods to identify novel interventions and targets to accelerate early drug discovery. This role involves hands-on modeling of high-dimensional biological data, leveraging and fine-tuning state-of-the-art foundation models, while enabling interpretability and biological reasoning. Ideal candidate will have demonstrated application of deep learning and computational biology to biological problems. The successful candidate will work closely with researchers in biology, chemistry, and omics technology in a collaborative environment.
ROLE AND RESPONSIBILITIES
What you would be responsible for:
- Model Development
- Apply, fine-tune, and post-train foundation models (e.g., transformer-based, diffusion, VAE architectures) on single-cell RNA-seq data and other modalities to model disease cellular states
- Build state-of-the-art perturbation models using multi-modal perturbation data (small molecules, CRISPR, cytokines) and phenotypic data, with emphasis on CRISPR screen data (e.g., Perturb-seq)
- Develop mechanistic interpretability methods to infer gene networks and regulatory mechanisms via attention, graph-based, and/or causal representation methods, supporting downstream applications such as target identification
- Deploy and run inference on generative AI models using proprietary datasets on cloud platforms
- Establish clinically relevant benchmarking and evaluation frameworks to assess context generalization and guide model improvements
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Stay current with the latest research in foundation models, representation learning (across biology, NLP, vision, and audio), and perturbation modeling
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Scientific Collaboration
- Collaborate with interdisciplinary scientists from biology, chemistry, and technology teams to translate research questions into cutting-edge ML solutions
- Opportunity to collaborate with and co-develop platform modules alongside other Flagship Pioneering companies
- Communicate technical concepts clearly to diverse scientific audiences
BASIC QUALIFICATIONS
What experiences will you need:
- PhD in Computer Science, Computational Biology, or related field, OR Master's degree with 3+ years or Master's or Bachelor's degree with 6+ years of relevant ML research experience for drug discovery
- Strong foundation in statistics, deep learning and generative AI
- Experience with high-dimensional biological data analysis (bulk/single-cell RNA-seq, gene regulatory networks, PPI networks, multi-omics integration)
- Experience with chemical / CRISPR perturbation screen data (e.g., Perturb-seq), including analysis and modeling
- Familiarity with single-cell foundation models (e.g., Geneformer, scGPT, scFoundation) and their downstream applications
- Experience applying or fine-tuning pretrained foundation models or deep generative models for downstream biological tasks
- Experience with cloud computing (AWS/GCP) and MLOps best practices
- Excellent communication skills and ability to work in interdisciplinary teams
PREFERRED QUALIFICATIONS
What sets you apart:
- Experience building agentic AI systems (e.g., LLM-based agents, tool use, multi-step reasoning workflows) for scientific discovery or data analysis
- Familiarity with target identification and prioritization in drug discovery
COMPANY SUMMARY
Cellarity is a privately held, clinical-phase drug discovery startup using AI and single-cell omics to develop life-changing medicines that are unreachable by traditional methods of drug discovery. Our pipeline spans multiple exploratory programs across different indications, offering broad opportunities to apply machine learning to diverse disease areas. Cellarity is a product of Flagship Pioneering's venture creation engine, which has conceived and created companies such as Moderna (NASDAQ: MRNA), Generate:Biomedicines, and Lila Sciences.
Cellarity is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Recruitment & Staffing Agencies: Cellarity does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Cellarity or its employees is strictly prohibited unless contacted directly by Cellarity’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Cellarity, and Cellarity will not owe any referral or other fees with respect thereto.
Privacy Notice for Applicants: When you apply for a role at Flagship Pioneering or one of its portfolio companies, we collect and use personal information you provide (such as your name, contact details, work history, and application materials) to evaluate your application, communicate with you, and comply with legal obligations. Your application data is processed through Greenhouse, our applicant tracking system, and may also be reviewed using AI-assisted screening tools. We do not sell your personal information. California residents have rights under the CCPA/CPRA including to know, delete, and opt out of the sharing of their personal information. If you are located in the EU or UK, we process your data under GDPR and you have rights to access, rectify, and erase your data. To exercise your rights or for questions, contact privacy@flagshippioneering.com.
The salary range for this role is $132,000 - $209,000. Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience. Cellarity currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Cellarity's good faith estimate as of the date of publication and may be modified in the future.
Privacy Notice for Applicants: When you apply for a role at Flagship Pioneering or one of its portfolio companies, we collect and use personal information you provide (such as your name, contact details, work history, and application materials) to evaluate your application, communicate with you, and comply with legal obligations. Your application data is processed through Greenhouse, our applicant tracking system, and may also be reviewed using AI-assisted screening tools. We do not sell your personal information. California residents have rights under the CCPA/CPRA including to know, delete, and opt out of the sharing of their personal information. If you are located in the EU or UK, we process your data under GDPR and you have rights to access, rectify, and erase your data. To exercise your rights or for questions, contact privacy@flagshippioneering.com.
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.