> Markdown version of [/jobs/ext/1893495-machine-learning-engineer-life-sciences](https://www.wearedevelopers.com/jobs/ext/1893495-machine-learning-engineer-life-sciences). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer (Life Sciences) - **Company:** SPARK! LLC - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Bioinformatics, Computational Biology, Computer Programming, Distributed Systems, Python (Programming Language), Machine Learning, Language Modeling, Open Source Technology, System Programming, Extensible Markup Language (XML), Scripting, Pytorch, Reliability of Systems, Machine Learning Operations - **Published:** July 31, 2026 - **Apply:** https://www.careerbuilder.com/job-details/machine-learning-engineer-life-sciences-san-francisco-ca--91054f17-8e72-453d-b1e3-0bf0ae21120f ## About the Role * 5+ years of experience in ML infra, research engineering, or systems programming. * Comfort working across research and engineering boundaries. * Expertise in Python, PyTorch or Jax, and distributed systems. * Experience deploying and maintaining ML systems at scale. * You care about understanding how models work internally and using that to make them more reliable and useful in the real world, * Experience with biological / life sciences ML (computational biology, bioinformatics, digital pathology, protein/genomics, multimodal biomedical data). * Open-source ML infrastructure contributions. * Startup or frontier-lab experience in fast-moving teams Our values We are looking for individuals who embody our values and share our deep commitment to making interpretability accessible. We are building a team first and foremost., Application Programming Interface (API), Artificial Intelligence (AI), Bioinformatics, Biology, Biomedicine, Distributed Computing, Drug Discovery, Genomics, Identify Issues, JAX (Java API for XML), Laboratory, Machine Learning, Medicine, Modeling Languages, Open Source, Organizational Development/Management, Pathology, Prototyping, Python Programming/Scripting Language, Scientific Research, Startup, Systems Maintenance, Systems Reliability, Systems/Internals Programming, Team Building, Team Lead/Manager ## Description We are looking for a Machine Learning Engineer (Life Sciences) to help build our platform for training, evaluating, and deploying interpretable frontier AI systems, with an emphasis on scientific and biological foundation models(e.g., genomic foundation models, protein language models, vision models for digital pathology). Where you might contribute: * Forward deployed research - lead scientific research with our partners to interpret advanced biological foundation models (genomic foundation models, ViTs, PLMs) to uncover what they've learned. * Project delivery and implementation - own research delivery on high-stakes projects with customers and do whatever it takes to make delivery successful, including: problem and hypothesis definition, data sourcing, tool building, iteration, and implementation. Translate research into tools for real-world applications in precision medicine, digital pathology, drug discovery, and more., * Productionize interpretability research into maintainable tools, APIs, and workflows that work on real models and real scientific data. * Optimize pipelines and infrastructure for frontier model interpretability, training, and inference. * Prototype techniques to visualize and manipulate internal model structures. * Integrate new machine learning workflows and pipelines into our product and deploy to customers. * Ensure system reliability, reproducibility, and performance ## Related Videos - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [JavaScript? No. Java Scripts! - Scripting with Java](https://www.wearedevelopers.com/videos/2094-javascript-no-java-scripts-scripting-with-java) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Intermediate Bitcoin Script](https://www.wearedevelopers.com/videos/25-intermediate-bitcoin-script) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)