{"schemaVersion":"jobsearcher.job.v1","id":"eae1de0d7fd3b12744caa2b3","url":"https://jobsearcher.com/jobs/eae1de0d7fd3b12744caa2b3","canonicalUrl":"https://jobsearcher.com/jobs/eae1de0d7fd3b12744caa2b3","title":"Senior Machine Learning Engineer","description":"Senior Machine Learning Engineer\n\nSenior Machine Learning Engineer\n\nOnsite Tues, Wed, Thurs in one of these locations:\n\nDurham, NC; NYC, NY; or Pittsburgh, PA\n\nPosition Overview\nWe 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.\n\nKey Responsibilities\n\nDesign, implement, and optimize state-of-the-art generative models (e.g., VAEs, GANs, diffusion models) for real-world applications.\nWrite production-quality Python code, develop reusable model components, and maintain clean, well-tested repositories.\nLead end-to-end ML projects: data preprocessing, model training, hyperparameter tuning, evaluation, and deployment.\nCollaborate closely with research scientists and domain experts to translate scientific objectives into scalable ML solutions.\nBuild and maintain data pipelines and infrastructure to support large-scale training and inference workloads.\nDeploy and monitor ML models in production using MLOps best practices (CI/CD, containerization, monitoring, and rollback).\nProfile and optimize model performance and inference latency for CPU/GPU environments, including mixed-precision and model compression techniques.\nMentor and review code for junior engineers, contribute to team standards, and evangelize reproducible research practices.\nDocument models, experiments, and deployment procedures to ensure cross-team transparency and knowledge transfer.\n\nQualifications\n\nStrong background in Machine Learning with 5+ years of industry or research experience building ML systems.\nExpert proficiency in Python and standard ML libraries (PyTorch, TensorFlow, JAX) and ecosystem tools.\nDemonstrated experience designing and training Generative Modeling architectures (VAEs, GANs, diffusion models, autoregressive models, etc.).\nSolid understanding of core ML fundamentals: probability, optimization, representation learning, and model evaluation.\nExperience deploying ML models to production, familiarity with MLOps tools and workflows (Docker, Kubernetes, CI/CD, model monitoring).\nProven software engineering skills: version control, testing, code reviews, and clear documentation.\nExperience working with large datasets, feature engineering, and scalable data pipelines (Spark, Airflow, or similar) is preferred.\nStrong communication skills and experience collaborating with cross-functional teams to deliver measurable results.\nNice to have: experience with Biomolecular Simulation or applying ML to molecular/biophysical problems.\nNice to have: experience with cloud platforms (AWS, GCP, or Azure) and GPU-accelerated training environments.\n\nBenefits\n\nVacation/PTO\n\nMedical\n\nDental\n\nVision\n\n401k\n\nBonus\n\nRelocation\n\n- 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 job was first posted by CyberCoders on 09/22/2026 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\n\nAll 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.\n\nSalary\n\n$350000 - $800000 USD per year","company":"Everforth Cybercoders","rawCompany":"everforth cybercoders","city":"Pittsburgh","state":"PA","isRemote":false,"isActive":false,"createdAt":"2026-09-24T11:03:14.701Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Machine Learning Engineer","description":"Senior Machine Learning Engineer\n\nSenior Machine Learning Engineer\n\nOnsite Tues, Wed, Thurs in one of these locations:\n\nDurham, NC; NYC, NY; or Pittsburgh, PA\n\nPosition Overview\nWe 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.\n\nKey Responsibilities\n\nDesign, implement, and optimize state-of-the-art generative models (e.g., VAEs, GANs, diffusion models) for real-world applications.\nWrite production-quality Python code, develop reusable model components, and maintain clean, well-tested repositories.\nLead end-to-end ML projects: data preprocessing, model training, hyperparameter tuning, evaluation, and deployment.\nCollaborate closely with research scientists and domain experts to translate scientific objectives into scalable ML solutions.\nBuild and maintain data pipelines and infrastructure to support large-scale training and inference workloads.\nDeploy and monitor ML models in production using MLOps best practices (CI/CD, containerization, monitoring, and rollback).\nProfile and optimize model performance and inference latency for CPU/GPU environments, including mixed-precision and model compression techniques.\nMentor and review code for junior engineers, contribute to team standards, and evangelize reproducible research practices.\nDocument models, experiments, and deployment procedures to ensure cross-team transparency and knowledge transfer.\n\nQualifications\n\nStrong background in Machine Learning with 5+ years of industry or research experience building ML systems.\nExpert proficiency in Python and standard ML libraries (PyTorch, TensorFlow, JAX) and ecosystem tools.\nDemonstrated experience designing and training Generative Modeling architectures (VAEs, GANs, diffusion models, autoregressive models, etc.).\nSolid understanding of core ML fundamentals: probability, optimization, representation learning, and model evaluation.\nExperience deploying ML models to production, familiarity with MLOps tools and workflows (Docker, Kubernetes, CI/CD, model monitoring).\nProven software engineering skills: version control, testing, code reviews, and clear documentation.\nExperience working with large datasets, feature engineering, and scalable data pipelines (Spark, Airflow, or similar) is preferred.\nStrong communication skills and experience collaborating with cross-functional teams to deliver measurable results.\nNice to have: experience with Biomolecular Simulation or applying ML to molecular/biophysical problems.\nNice to have: experience with cloud platforms (AWS, GCP, or Azure) and GPU-accelerated training environments.\n\nBenefits\n\nVacation/PTO\n\nMedical\n\nDental\n\nVision\n\n401k\n\nBonus\n\nRelocation\n\n- 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 job was first posted by CyberCoders on 09/22/2026 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\n\nAll 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.\n\nSalary\n\n$350000 - $800000 USD per year","datePosted":"2026-09-24T11:03:14.701Z","dateModified":"2026-09-24T11:03:14.701Z","hiringOrganization":{"@type":"Organization","name":"Everforth Cybercoders","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pittsburgh","addressRegion":"PA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"eae1de0d7fd3b12744caa2b3"},"url":"https://jobsearcher.com/jobs/eae1de0d7fd3b12744caa2b3"}}