Senior Machine Learning Engineer

Senior Machine Learning Engineer

Onsite Tues, Wed, Thurs in one of these locations:

Durham, NC; NYC, NY; or Pittsburgh, PA

Position Overview
We are seeking a Senior Machine Learning Engineer to lead the design, development, and deployment of advanced machine learning systems with a focus on generative modeling. The role combines research-quality model development and production-grade software engineering: you will build and optimize generative models, implement robust Python code and data pipelines, collaborate with cross-functional teams (research scientists, software engineers, product owners), and help drive ML best practices across the organization. Experience applying ML to biomolecular problems is a strong plus.

Key Responsibilities

• Design, implement, and optimize state-of-the-art generative models (e.g., VAEs, GANs, diffusion models) for real-world applications.
• Write production-quality Python code, develop reusable model components, and maintain clean, well-tested repositories.
• Lead end-to-end ML projects: data preprocessing, model training, hyperparameter tuning, evaluation, and deployment.
• Collaborate closely with research scientists and domain experts to translate scientific objectives into scalable ML solutions.
• Build and maintain data pipelines and infrastructure to support large-scale training and inference workloads.
• Deploy and monitor ML models in production using MLOps best practices (CI/CD, containerization, monitoring, and rollback).
• Profile and optimize model performance and inference latency for CPU/GPU environments, including mixed-precision and model compression techniques.
• Mentor and review code for junior engineers, contribute to team standards, and evangelize reproducible research practices.
• Document models, experiments, and deployment procedures to ensure cross-team transparency and knowledge transfer.

Qualifications

• Strong background in Machine Learning with 5 years of industry or research experience building ML systems.
• Expert proficiency in Python and standard ML libraries (PyTorch, TensorFlow, JAX) and ecosystem tools.
• Demonstrated experience designing and training Generative Modeling architectures (VAEs, GANs, diffusion models, autoregressive models, etc.).
• Solid understanding of core ML fundamentals: probability, optimization, representation learning, and model evaluation.
• Experience deploying ML models to production, familiarity with MLOps tools and workflows (Docker, Kubernetes, CI/CD, model monitoring).
• Proven software engineering skills: version control, testing, code reviews, and clear documentation.
• Experience working with large datasets, feature engineering, and scalable data pipelines (Spark, Airflow, or similar) is preferred.
• Strong communication skills and experience collaborating with cross-functional teams to deliver measurable results.
• Nice to have: experience with Biomolecular Simulation or applying ML to molecular/biophysical problems.
• Nice to have: experience with cloud platforms (AWS, GCP, or Azure) and GPU-accelerated training environments.

Benefits

Vacation/PTO

Medical

Dental

Vision

401k

Bonus

Relocation
 

Email Your Resume In Word To
Lauren.Formby@CyberCoders.com
Looking forward to receiving your resume through our website and going over the position with you. Clicking apply is the best way to apply.
Please do NOT change the email subject line in any way. You must keep the JobID: linkedin : LF2-1997757L914 -- in the email subject line for your application to be considered.
Lauren Formby - Director of Recruiting

For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This is a new role.

This job was first posted by CyberCoders on 09/21/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.

Everforth CyberCoders is proud to be an Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications, and a virtual recruiter as part of the application process. A human recruiter reviews all results. Click here for details on our virtual recruiter .  Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at Benefits@CyberCoders.com to make arrangements.

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