STEM OPT Generative AI Engineer Jobs
Generative AI Engineer roles qualify for the 24-month STEM OPT extension when your degree falls under an eligible CIP code in computer science, electrical engineering, or a related STEM field. Your employer must be enrolled in E-Verify, and you'll need a signed I-983 training plan in place before your extension start date.
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INTRODUCTION
Our company Discovery Biologics Disruptive Technologies is seeking an exceptional AI/ML protein engineer to drive the application of structure-based computational protein design and optimization methods to support our biotherapeutic portfolio. The individual is expected to partner closely with cross-functional discovery programs to turn great ideas into valuable medicines that help patients. The role is based out of our Cambridge, MA facility.
We are on a quest for cures and are committed to be the world’s premier, most research-intensive biopharmaceutical company. Our teams combine leading drug discovery capabilities and world-class R&D with the purpose of turning breakthrough science into life-changing medicines.
We recognize that the difference in our team is our strength and are committed to creating an inclusive environment for all employees. Successful candidates must demonstrate inclusive behaviors in working with a different group of scientists to drive our core mission.
KEY RESPONSIBILITIES
- Create de novo therapeutic proteins using structure-guided generative AI and machine learning-based protein design and engineering technologies.
- Integrate AI/ML protein design methods with structural biology and high-throughput experimental screening data to devise and execute de novo protein design and optimization strategies.
- Process and analyze experimental functional data in context of protein structure, and optimize workflows using data for hit-to-lead optimization.
- Evaluate and improve computational protein design strategies, methods and models (zero- and few-shot).
- Train ML models to integrate structural data with experimental datasets to advance therapeutic programs.
- Collaborate with laboratory scientists to design experiments that produce high-quality, ML-ready data.
- Foster a high-performance culture of collaboration, engagement, self-accountability and inclusion.
- Effectively partner across multidisciplinary interfaces to achieve organizational objectives.
- Assess external advancements in the relevant scientific fields.
QUALIFICATIONS & EXPERIENCE
- Ph.D. in Biochemistry, Computational Biology, Protein Engineering, Physics, Bioengineering, Computer Science, Molecular Biology, Chemistry, Pharmaceutical Science, or a related STEM field and a minimum of 0-3 years of industry experience, or MS and 4+ years industry experience, or B.S. 7+ years industry experience.
- Demonstrated success generating de novo proteins with desired in vitro behavior.
- Extensive expertise in GenAI/ML-based protein design methods and protein structural biology.
- Experience using experimental data to optimize protein sequences for function.
- Proven industry track record of success working with cross-functional teams.
- Commitment to scientific excellence and rigor.
- Excellent communication and collaboration skills.
- Champion for different and inclusive culture.
- Strong external reputation with high-impact publications, presentations, and scientific community engagement.
- Passion for sharing knowledge and helping colleagues develop.
Required Skills:
- Expert-level knowledge of structure-based generative AI methods for protein design and engineering, including de novo design, lead optimization and in silico prediction (e.g., RFdiffusion, Boltzgen, and/or BindCraft in combination with ProteinMPNN and/or AlphaFold).
- Strong hands-on experience applying experimental data (e.g., affinity, stability, solubility) to optimize protein sequence/structure/function.
- Strong skills in data analysis and visualization.
- Comprehensive scientific knowledge across workflows and domains integral to the discovery of protein therapeutics.
PREFERRED SKILLS
- Deep understanding of protein structure and sequence representations, featurization and embeddings.
- Demonstrated proficiency in computational protein design method/algorithm development.
- Experience training/validating data-driven ML models to solve complex problems.
US and Puerto Rico Residents Only:
Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.
As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:
EEOC Know Your Rights
EEOC GINA Supplement
We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.
Learn more about your rights, including under California, Colorado and other US State Acts.
COMPENSATION
- Salary Range: $131,400.00 - $206,800.00
This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.
The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.
We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.
You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.
San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance.
Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance.
Employee Status:
Regular
Relocation:
Domestic
VISA Sponsorship:
Yes
Travel Requirements:
No Travel Required
Flexible Work Arrangements:
Not Applicable
Shift:
Not Indicated
Valid Driving License:
No
Hazardous Material(s):
n/a
Job Posting End Date:
08/10/2026*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
Requisition ID: R409077
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Get Access To All JobsTips for Finding STEM OPT Authorization as a Generative AI Engineer
Verify your CIP code before applying
Check your degree's Classification of Instructional Programs code against the DHS STEM designated degree program list before targeting roles. Computer science, computer engineering, and applied mathematics codes are the most common matches for Generative AI Engineer positions, but data science and statistics codes qualify too.
Confirm E-Verify enrollment before negotiating offers
Run every prospective employer through the E-Verify employer search tool before you reach the offer stage. Startups and smaller AI labs frequently aren't enrolled, and discovering this after a verbal offer costs you time you don't have on a ticking OPT clock.
Build an I-983 training plan around your ML stack
Draft your I-983 training objectives around specific model architectures, fine-tuning pipelines, and deployment frameworks you'll work with. Vague goals like 'gain AI experience' invite DSO pushback; tying objectives to measurable deliverables like production model releases makes approval faster.
Target employers with active H-1B filing history
Use Migrate Mate to filter Generative AI Engineer roles by employers with verified DOL Labor Condition Application filings. Companies that have sponsored H-1B visa petitions in AI and machine learning roles are structurally set up to support your OPT-to-H-1B transition and understand the filing timeline.
Use OFLC Wage Search to anchor your salary ask
Look up the prevailing wage for your specific SOC code and geographic area in the OFLC Wage Search before any compensation conversation. Employers filing an LCA must meet that wage floor, so knowing it prevents you from inadvertently negotiating below what they're legally required to pay.
Submit your STEM OPT extension application 90 days early
USCIS allows you to file your STEM OPT extension up to 90 days before your current EAD expires. Filing on day one of that window protects your cap-gap coverage if your H-1B is selected in the lottery before your extension is adjudicated.
Frequently Asked Questions
Does a Generative AI Engineer role qualify for the STEM OPT extension?
Yes, if your degree is in an eligible STEM field such as computer science, electrical engineering, data science, or applied mathematics. The role itself doesn't trigger eligibility; your degree's CIP code does. Confirm your code appears on the DHS STEM designated degree program list before applying for the extension through your DSO.
What E-Verify requirement applies to my STEM OPT employer?
Your employer must be actively enrolled in E-Verify before your STEM OPT extension start date. Enrollment isn't the same as participation in a past hiring cycle; you need to confirm current active status. If the employer isn't enrolled, they can't lawfully employ you on a STEM OPT extension, regardless of how the offer is structured.
What goes into an I-983 training plan for a Generative AI Engineer?
The I-983 must describe specific learning objectives tied to your STEM degree, the supervision structure, and how the role provides practical training in your field. For a Generative AI Engineer, that means documenting work with large language models, training pipelines, evaluation frameworks, or deployment infrastructure in concrete terms. Both you and your employer sign it, and your DSO reviews it before submission.
How does cap-gap protection work if my H-1B is selected during my STEM OPT extension?
If your STEM OPT EAD is still valid when your H-1B petition is filed before April 1 and you're selected in the lottery, cap-gap automatically extends your work authorization through September 30. You don't file anything separately for cap-gap; it's triggered by the timely filed H-1B petition. USCIS issues guidance on cap-gap each fiscal year cycle.
Where can I find Generative AI Engineer jobs at E-Verify enrolled employers?
Migrate Mate filters Generative AI Engineer listings by employers with verified DOL LCA filing history, which signals both E-Verify enrollment and prior experience sponsoring work authorization. That lets you focus your applications on companies already equipped to support your STEM OPT timeline rather than discovering compliance gaps after a hiring process.