Senior AI Engineer - Foundation Models

Senior AI Engineer - Foundation Models Cambridge, MA - Hybrid (4 days onsite per week) $200,000-$220,000 base salary + annual bonus + equity package THE COMPANY Harnham is partnering with a well-funded, high-growth AI healthcare startup building next-generation machine learning systems focused on improving early disease detection and personalized patient care.

Leveraging multimodal healthcare data, including genomic information, longitudinal patient records, and clinical signals, the organization is developing advanced foundation models designed to transform how risk prediction and screening strategies are delivered.

Backed by substantial venture funding and operating across North America and Europe, the company is assembling a world-class team of AI researchers and engineers to tackle some of healthcare's most complex challenges.

This is an opportunity to join at an early stage, influence the technical direction of the platform, and work alongside exceptional talent from leading AI research labs, top universities, and high-growth technology companies.

RESPONSIBILITIES

• Design, train, and deploy machine learning models for risk prediction, biomarker identification, and longitudinal patient analysis.
• Build and scale production-grade ML systems capable of supporting large, complex multimodal healthcare datasets.
• Develop end-to-end ML infrastructure, including data ingestion, feature engineering, model training, evaluation, and serving pipelines.
• Collaborate closely with research, clinical, and data teams to translate scientific insights into real-world products.
• Fine-tune and productionize foundation models operating on genomic and healthcare data.
• Establish robust monitoring, testing, and evaluation frameworks to ensure performance, reliability, and scalability of deployed systems.

SKILLS AND EXPERIENCE

• Required 3-6 years of experience building and deploying machine learning systems in production environments.
• Strong Python programming skills and experience with modern ML frameworks such as PyTorch, JAX, or TensorFlow.
• Experience designing scalable ML infrastructure and orchestration pipelines.
• Hands-on knowledge of cloud environments including AWS and/or GCP.
• Experience with Docker, CI/CD practices, testing frameworks, and software engineering best practices.
• Strong understanding of model deployment, monitoring, and production operations.
• Excellent communication skills and the ability to work across technical and non-technical stakeholders.
• Preferred Experience working with genomics, healthcare, biomedical, imaging, or EHR data.
• Background building multimodal AI systems or foundation models.
• Experience in startup environments or building products from zero-to-one.
• Publications, research contributions, or notable open-source work in machine learning.
• Entrepreneurial mindset with a strong sense of ownership and execution.

BENEFITS

• Competitive base salary of $200,000-$220,000.
• Annual performance bonus.
• Meaningful equity participation with significant upside potential.
• Relocation assistance where applicable.
• Opportunity to work on cutting-edge AI and genomics research with real-world healthcare impact.
• Direct exposure to senior AI leadership and a highly accomplished research team.
• Career growth within a rapidly scaling, venture-backed organization.
• HOW TO APPLY Please register your interest by sending your CV via the Apply link on this page.
• KEY TERMS AI Engineer | Machine Learning Engineer | Foundation Models | Genomics | Healthcare AI | Computational Biology | Deep Learning | Multimodal Learning | PyTorch | JAX | TensorFlow | AWS | GCP | MLOps | ML Infrastructure | Risk Prediction | Biomarker Detection | Production Machine Learning | Cancer Detection | Research Engineering | Cambridge MA | Hybrid Working | Startup | HealthTech | Artificial Intelligence | Data Engineering | Clinical AI | Docker | CI/CD | Applied Machine Learning