CPT AI ML Engineering Jobs
AI ML Engineering CPT roles let F-1 students apply machine learning coursework directly in industry settings, but your DSO must certify the position is an integral part of your degree program before you start. Part-time CPT runs up to 20 hours per week during the semester; full-time CPT is permitted during breaks.
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Dyne Therapeutics is focused on delivering functional improvement for people living with genetically driven neuromuscular diseases. We are developing therapeutics that target muscle and the central nervous system (CNS) to address the root cause of disease. The company is advancing clinical programs for Duchenne muscular dystrophy (DMD) and myotonic dystrophy type 1 (DM1) as well as preclinical programs for facioscapulohumeral muscular dystrophy (FSHD) and Pompe disease. At Dyne, we are on a mission to deliver functional improvement for individuals, families, and communities.
Role Summary:
The Data Sciences team at Dyne Therapeutics is seeking an exceptional Co-Op candidate to contribute to the development of machine learning (ML) and AI-driven tools for our R&D programs. The primary focus will be on refining molecular sequence-based ML models for property/activity prediction. This includes working with sequence, structural, and contextual features to enhance model performance and generalizability.
In addition, the Co-Op will contribute to the development of LLM-based pipelines for scientific document drafting and evaluation, including retrieval-augmented generation (RAG) workflows to support internal research and regulatory processes.
This role provides hands-on experience at the intersection of computational biology and applied AI, directly supporting team priorities in molecular optimization, pipeline expansion, and AI capability development.
This role is based in Waltham, MA without the possibility of being remote. This is a 6-month position beginning in July.
Candidates must be enrolled in an accredited college or university Co-Op Program.
Primary Responsibilities Include:
- Support data curation, preprocessing, and feature generation for biomolecular sequence ML models.
- Assist with model training, evaluation, and benchmarking under guidance.
- Contribute to the development and testing of LLM-based document drafting and verification pipelines.
- Deliver well-documented and reproducible code, analysis summaries, and a final presentation of contributions.
Education and Skills Requirements:
- Undergraduate or Graduate student currently pursuing a degree in bioinformatics, computational biology, or computer science or equivalent experience. Must be in active student status during the duration of the Co-Op program.
- Demonstrated competency in Python and/or R programming skills.
- Prior experience in data science, AI, or machine learning is preferred.
- Strong organizational skills and solid written and oral communication ability.
LOCATION:
Waltham, MA
Compensation:
- MA Pay Range: $25—$25 USD
The pay range reflects the base pay range Dyne reasonably expects to pay for this role at the time of posting. Individual compensation depends on factors such as education, experience, job-related knowledge, and demonstrated skills.
The statements contained herein reflect general details as necessary to describe the principal functions for this job, the level of knowledge and skill typically required, and the scope of responsibility, but should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences or relief, to equalize peak work periods or otherwise balance workload.
Dyne Therapeutics is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.
Company Overview:
Dyne Therapeutics is focused on delivering functional improvement for people living with genetically driven neuromuscular diseases. We are developing therapeutics that target muscle and the central nervous system (CNS) to address the root cause of disease. The company is advancing clinical programs for Duchenne muscular dystrophy (DMD) and myotonic dystrophy type 1 (DM1) as well as preclinical programs for facioscapulohumeral muscular dystrophy (FSHD) and Pompe disease. At Dyne, we are on a mission to deliver functional improvement for individuals, families, and communities.
Role Summary:
The Data Sciences team at Dyne Therapeutics is seeking an exceptional Co-Op candidate to contribute to the development of machine learning (ML) and AI-driven tools for our R&D programs. The primary focus will be on refining molecular sequence-based ML models for property/activity prediction. This includes working with sequence, structural, and contextual features to enhance model performance and generalizability.
In addition, the Co-Op will contribute to the development of LLM-based pipelines for scientific document drafting and evaluation, including retrieval-augmented generation (RAG) workflows to support internal research and regulatory processes.
This role provides hands-on experience at the intersection of computational biology and applied AI, directly supporting team priorities in molecular optimization, pipeline expansion, and AI capability development.
This role is based in Waltham, MA without the possibility of being remote. This is a 6-month position beginning in July.
Candidates must be enrolled in an accredited college or university Co-Op Program.
Primary Responsibilities Include:
- Support data curation, preprocessing, and feature generation for biomolecular sequence ML models.
- Assist with model training, evaluation, and benchmarking under guidance.
- Contribute to the development and testing of LLM-based document drafting and verification pipelines.
- Deliver well-documented and reproducible code, analysis summaries, and a final presentation of contributions.
Education and Skills Requirements:
- Undergraduate or Graduate student currently pursuing a degree in bioinformatics, computational biology, or computer science or equivalent experience. Must be in active student status during the duration of the Co-Op program.
- Demonstrated competency in Python and/or R programming skills.
- Prior experience in data science, AI, or machine learning is preferred.
- Strong organizational skills and solid written and oral communication ability.
LOCATION:
Waltham, MA
Compensation:
- MA Pay Range: $25—$25 USD
The pay range reflects the base pay range Dyne reasonably expects to pay for this role at the time of posting. Individual compensation depends on factors such as education, experience, job-related knowledge, and demonstrated skills.
The statements contained herein reflect general details as necessary to describe the principal functions for this job, the level of knowledge and skill typically required, and the scope of responsibility, but should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences or relief, to equalize peak work periods or otherwise balance workload.
Dyne Therapeutics is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.
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Get Access To All JobsAI ML Engineering CPT: Frequently Asked Questions
Does an AI ML Engineering internship automatically qualify for CPT?
No. The role must be an integral part of your enrolled degree program, and your DSO must authorize it before your start date. Most programs require the work to directly relate to a course you're currently taking or have enrolled in. A general software engineering role with light ML tasks may not meet your school's CPT criteria, even if the job title includes AI.
Can I work full-time on CPT as an AI ML Engineering intern during the semester?
Full-time CPT (more than 20 hours per week) is allowed during official school breaks or if your program explicitly permits it during the semester. Twelve months or more of full-time CPT eliminates your OPT eligibility entirely, so most students limit full-time CPT to summers and use part-time CPT during academic terms.
How do I find AI ML Engineering employers who understand CPT hiring?
Browse AI ML Engineering roles on Migrate Mate, which surfaces employers with documented F-1 hiring and LCA filing history. Filtering by employers who have filed for H-1B visa or O-1 visa roles in ML and data science is a practical proxy for companies with established international hiring processes, which generally means smoother CPT onboarding.
What does the O*NET profile show for AI ML Engineering roles relevant to CPT?
The O*NET occupation profile for software developers and ML engineers lists the knowledge domains, tools, and tasks associated with the role. Your DSO may reference O*NET classifications to confirm the work is curriculum-integral. Roles that map to computer science, mathematics, or statistics knowledge domains in O*NET are easier to justify under most engineering degree programs.
Does accepting a CPT offer affect my H-1B eligibility after graduation?
CPT itself doesn't affect H-1B eligibility as long as you don't accumulate 12 or more months of full-time CPT, which eliminates OPT. After graduation, you'd need an employer to file an H-1B petition on your behalf, which requires USCIS approval and entry in the lottery. Your CPT employment history doesn't transfer automatically into any post-graduation visa status.