> Markdown version of [/jobs/ext/499190-machine-learning-scientist-bioml](https://www.wearedevelopers.com/jobs/ext/499190-machine-learning-scientist-bioml). 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 Scientist, BioML - **Company:** PROFLUENT - **Location:** Emeryville, CA, United States - **Experience:** Experienced - **Salary:** $200,000.0 - $330,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Computational Biology, Data Mining, Experimental Data, Machine Learning, Language Modeling, Natural Language Processing, Google Cloud, Pytorch, Deep Learning, Information Technology, Oracle Cloud Infrastructure, Software Library - **Published:** June 7, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=0697d73c4aaced0c ## About the Role Do you have experience in Machine learning libraries?, * PhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field * Experience with conceiving of, implementing, and evaluating novel machine learning techniques at the intersection with biology * Publications at major machine learning conferences (NeurIPS, ICML, ICLR) or scientific journals (Nature, Science, Nature Biotech, Nature Methods, PNAS) * Experience with modern deep learning frameworks such as Pytorch or Jax Preferences * Familiarity with foundational biology of proteins and nucleic acids * Experience developing machine learning models for proteins (language models, structure prediction, design) * Experience with cloud compute platforms (GCP, AWS, Azure, OCI) * Previous experience in data extraction and curation from bioinformatics data sources * Familiarity with wet lab experimental assays and associated limitations * 3 to 5 years of industry experience ## Description We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into models at the intersection of complex protein biology and AI. This position offers an opportunity to work at the forefront of generative modeling research across language processing, representation learning, and protein engineering. You should be a self-directed researcher who has the ability to rapidly prototype and evaluate new models and algorithms in the biomolecular domain. As an early employee, you will proactively shape the direction of our machine learning efforts and collaborate across diverse teams of computational and experimental scientists. Responsibilities * Design and develop state-of-the-art predictive and generative models incorporating domain-specific evolutionary and experimental data * Leverage massive-scale protein and nucleic acid data to train specialized models for protein understanding and design * Curate relevant datasets and design tasks for rigorous evaluation of generative models * Collaborate across the machine learning and protein design teams to adapt and apply techniques for experimental validation * Implement, analyze, and interpret multiple computational approaches and present results to colleagues in regular update meetings * Work within a collaborative, fast-paced, interdisciplinary team across biology and machine learning to help shape the scientific and strategic vision of the company ## Related Videos - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [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) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [How machine learning can help us tell fact from fiction](https://www.wearedevelopers.com/magazine/509-how-machine-learning-can-help-us-tell-fact-from-fiction) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)