CPT Machine Learning Jobs
Machine Learning CPT jobs let F-1 students apply neural network design, model training, and data pipeline work directly to a degree program requirement. Your DSO must authorize each position before you start, and the role must connect to your coursework. Part-time CPT runs up to 20 hours per week during the semester; full-time is available during breaks.
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Get Access To All JobsCompany 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.
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 JobsMachine Learning CPT: Frequently Asked Questions
Does a Machine Learning CPT job have to involve coding or model building specifically?
Not exclusively, but the work must tie directly to your degree program's learning objectives. A role focused on ML research, data labeling pipelines, or model evaluation qualifies as long as your DSO can connect it to an enrolled course. Purely administrative or IT support roles at an ML company won't meet the integral-part-of-curriculum standard.
Can I do CPT at a startup that doesn't have an HR department?
Yes. CPT authorization comes from your school's DSO, not the employer. The employer doesn't file anything with USCIS. You do need the employer to sign an offer letter confirming the role, start date, hours, and supervisor. Startups can do this. Confirm before your DSO meeting that the letter is on company letterhead with a named supervisor.
How do I find Machine Learning CPT jobs with employers who understand F-1 authorization?
Migrate Mate lists Machine Learning roles with employers that have prior sponsorship filing history, which is a strong signal they've navigated F-1 work authorization before. Filter by role type and review employer filing data before applying to avoid companies that will stall your onboarding over authorization questions.
Does working a Machine Learning CPT role full-time over the summer count against my 12-month limit?
Yes. Full-time CPT during a summer session counts toward the 12-month ceiling. If you accumulate 12 or more months of full-time CPT across your entire F-1 program, you lose OPT eligibility entirely. Part-time CPT, including summer part-time, doesn't count toward that limit regardless of how long you work.
What O*NET occupation code covers most Machine Learning CPT roles?
Most ML roles fall under O*NET code 15-2051.00, Data Scientists, or 15-1221.00, Computer and Information Research Scientists, depending on the work's emphasis. Your DSO may reference these codes when evaluating whether the role qualifies. Checking the O*NET profile for your specific job title confirms the typical education requirement, which strengthens your CPT authorization request.