CPT AI ML Platform Jobs
AI ML Platform CPT jobs place F-1 students inside the teams building the infrastructure that powers machine learning systems, model registries, feature stores, training pipelines, and deployment tooling. Your DSO must authorize CPT before you start, and the role must connect directly to your enrolled degree program, typically computer science, data science, or a related engineering field.
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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 JobsAI ML Platform CPT: Frequently Asked Questions
Does an AI ML Platform CPT role need to match my exact degree program?
Yes. CPT requires the work to be an integral part of your enrolled curriculum, which means your degree program must have a direct academic connection to the role. A computer science or data science student working on training pipelines or model deployment infrastructure typically satisfies this requirement. Your DSO makes the final determination, so bring a copy of the job description to your authorization appointment.
Can I do part-time CPT for an AI ML Platform role while taking classes?
Part-time CPT, defined by USCIS as fewer than 20 hours per week, doesn't count against your OPT eligibility, so it's often the safer option if you're still enrolled full-time. Many AI ML Platform teams offer structured part-time arrangements for student hires working on feature store or pipeline tooling. Confirm the exact weekly hours in your offer letter before submitting your CPT authorization request.
What happens to my CPT authorization if the employer changes my role responsibilities?
If your day-to-day work shifts significantly, for example from model deployment to general backend engineering, your existing CPT authorization may no longer cover the new duties. You'd need a revised job description and a new CPT authorization from your DSO. Get any material changes to your responsibilities in writing from your employer and report them to your DSO promptly.
How do I find AI ML Platform employers who have experience hiring F-1 CPT students?
Migrate Mate lets you filter AI ML Platform roles by employers with a track record of hiring international students, which shortens your search significantly. Employers already enrolled in E-Verify and familiar with CPT documentation requirements can typically onboard you faster and with less friction than those encountering the process for the first time.
Does full-time CPT affect my OPT eligibility after graduation?
Under USCIS rules, 12 months or more of full-time CPT eliminates your OPT eligibility entirely. Part-time CPT, regardless of total duration, has no impact on OPT. If your AI ML Platform role is full-time and expected to run across multiple semesters, track your cumulative CPT days carefully and discuss the long-term trade-offs with your DSO before accepting.