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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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 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.