Green Card Generative AI Engineer Jobs
Generative AI Engineer roles qualify for EB-2 sponsorship when they require an advanced degree in computer science, machine learning, or a related field, and for EB-3 as skilled positions under PERM labor certification. Employers file the I-140 immigrant petition after PERM approval, putting you on a direct path to permanent residency.
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Get Access To All JobsINTRODUCTION
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
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
See all 53+ Green Card Generative AI Engineer Jobs
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Get Access To All JobsTips for Finding Green Card Sponsorship as a Generative AI Engineer
Document your specialized AI credentials early
Gather transcripts, published papers, patents, and employer letters that tie your work directly to generative AI systems. PERM requires proof your role demands a specific degree, so vague credentials slow the labor certification.
Target employers with active PERM filing history
Search DOL OFLC disclosure data for companies that have filed PERM applications for machine learning or AI engineer roles. Employers who've navigated PERM before move faster and make fewer procedural errors on your case.
Verify your role qualifies under the right EB category
Use O*NET to confirm your generative AI responsibilities map to a recognized specialty occupation. EB-2 requires an advanced degree or equivalent; EB-3 covers bachelor's-level positions, and the category affects your priority date and wait time.
Ask employers about concurrent I-140 and I-485 filing
If a visa number is current for your country when your I-140 is approved, you can file I-485 adjustment of status concurrently. This shortens the gap between PERM approval and your green card, so raise it before signing an offer.
Search for green card sponsoring roles on Migrate Mate
Filter by EB-2 or EB-3 sponsorship to find Generative AI Engineer openings from employers already set up for PERM. Migrate Mate surfaces roles where sponsorship is confirmed, so you're not guessing from a generic job listing.
Confirm E-Verify enrollment before accepting an offer
Employers sponsoring you for a green card must be in good standing with employment eligibility verification. If a company isn't E-Verify enrolled, that's a flag worth resolving before PERM is filed, not after.
Green Card Generative AI Engineer: Frequently Asked Questions
Does a Generative AI Engineer role qualify for EB-2 green card sponsorship?
Yes, if the position requires a master's degree or higher in computer science, artificial intelligence, or a closely related field, it typically qualifies for EB-2. Employers must document through PERM that the advanced degree is a legitimate business requirement for the role, not just a preference. Roles that accept a bachelor's degree with experience generally fall under EB-3 instead.
How does green card sponsorship differ from H-1B sponsorship for this role?
H-1B visa is a temporary work visa with an annual lottery and a six-year cap, while EB-2 and EB-3 green card sponsorship is permanent and has no lottery. The PERM process adds time upfront, typically 12 to 24 months before the I-140 is even filed, but the outcome is lawful permanent residency rather than a status you have to renew. For many countries, EB-3 has no meaningful wait at the current priority date, making it faster to a green card than repeated H-1B extensions for some applicants.
What does the PERM labor certification process look like for a Generative AI Engineer?
Your employer files an ETA 9089 with DOL after completing a mandatory recruitment period to show no qualified U.S. workers were available for the role. For a Generative AI Engineer position, the job description must precisely define the AI-specific requirements, including the degree field and any specialized skills like large language model training or fine-tuning, so the role isn't deemed too broadly defined during an audit.
How do I find employers actively willing to sponsor a green card for generative AI roles?
Use Migrate Mate to search specifically for EB-2 and EB-3 sponsored Generative AI Engineer positions. Many job listings don't advertise PERM sponsorship openly, so filtering by confirmed sponsorship status saves significant time. You can also cross-reference DOL OFLC disclosure data to verify whether a company has filed PERM applications for similar AI roles in the past.
Can I switch employers after my I-140 is approved without losing my place in line?
Yes, under AC21 portability rules, you can change employers once your I-140 has been approved and your I-485 has been pending for at least 180 days, as long as the new role is in the same or a similar occupational classification. For a Generative AI Engineer, that means moving to another AI or software engineering role generally qualifies, but switching to an unrelated field could void the benefit.