CPT Machine Learning Manager Jobs
Machine Learning Manager roles qualify for CPT when the work integrates directly into your degree program, your DSO must authorize each position before you start. These roles sit at the intersection of applied research and team leadership, so your CPT paperwork should reflect both the technical and managerial components of the job.
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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 Manager CPT: Frequently Asked Questions
Does a Machine Learning Manager role qualify for CPT?
Yes, if the position integrates directly into your enrolled degree program and your DSO authorizes it before your start date. Machine Learning Manager roles in graduate programs covering AI systems, model lifecycle management, or data engineering typically satisfy the curricular integration requirement. Your DSO will review the job offer and confirm how the responsibilities map to your coursework.
Can I do CPT as a Machine Learning Manager while still taking classes?
Yes. CPT can be part-time (20 hours or fewer per week) or full-time (more than 20 hours) depending on your program structure. Part-time CPT is common during active semesters for roles like Machine Learning Manager, since the job demands can be heavy. Confirm with your DSO whether your program permits full-time CPT while enrolled and whether your academic credits require concurrent enrollment.
How do I find employers offering CPT-compatible Machine Learning Manager positions?
Search Migrate Mate for Machine Learning Manager roles posted by employers with F-1 work authorization experience. Because CPT authorization happens at the school level rather than requiring employer sponsorship, your focus should be on employers familiar with hiring F-1 students and willing to provide the offer letter documentation your DSO needs to process your CPT.
Does CPT as a Machine Learning Manager count toward OPT eligibility?
Part-time CPT doesn't affect your OPT eligibility regardless of duration. Full-time CPT used for 12 or more cumulative months removes your OPT eligibility entirely under USCIS regulations. Machine Learning Manager roles often involve full-time commitments, so if you're planning to use OPT after graduation, track your full-time CPT months carefully and discuss the tradeoff with your DSO before accepting any full-time offer.
What documentation does my employer need to provide for my CPT authorization?
Your DSO typically requires a formal offer letter that specifies your job title, start and end dates, work location, hours per week, and a description of your responsibilities. For a Machine Learning Manager role, the description should reference tasks that align with your degree program, such as overseeing model development workflows, leading applied research teams, or managing ML infrastructure projects. Generic offer letters without role-specific detail can delay or block DSO approval.