Job Description

Machine Learning Research Scientist, Generative Biology Join to apply for the Machine Learning Research Scientist, Generative Biology role at Output Biosciences . This range is provided by Output Biosciences. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $120,000.00/yr - $250,000.00/yr Join our team and help build the world's first biological reasoning model. Work with us to develop generative foundational models that decode biological systems across scales — from molecules to organisms — enabling us to predict, understand, and program living systems in ways never before possible. Output Biosciences is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI and biology, and backed by top VCs including Y Combinator. As a Generative AI Research Scientist, you'll collaborate with our founders and team members to develop advanced generative models that synthesize and design biological systems at multiple scales. Building upon our biological reasoning model, you'll focus on creating generative capabilities that translate insights into innovations. You will design and develop cutting-edge generative models specifically for biological data, creating AI systems that can generate novel molecular structures, protein designs, cellular components, and biological pathways. You will design and implement state-of-the-art generative algorithms including diffusion models, language diffusion models, diffusion transformers, and flow matching approaches, tailoring them to biological constraints and properties. You will train and scale innovative AI models using large, diverse biological multi-modal datasets across distributed GPU clusters. You will address challenging AI research problems at scale, focusing on model architecture, scaling, pre-training and fine-tuning strategies, and rigorous evaluation methods. Your work will encompass various advanced generative AI architectures, including transformers, diffusion models, and autoencoders, exploring and implementing these techniques to advance biological AI. Who We're Looking For: You have a Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Physics, or a relevant technical field. You hold a PhD with 2 years of research experience, or a Bachelor's degree with 4+ years of research or industry experience in Deep Learning, AI, or related fields. You have a strong publication record in top-tier AI conferences or journals (e.g., NeurIPS, ICML, ICLR). You have extensive hands-on experience building and training generative models such as diffusion models, GANs, VAEs, normalizing flows, or autoregressive models. You are proficient in Python and have expertise in at least one major deep learning framework (PyTorch, TensorFlow, or JAX). Who You Are: You have excellent problem-solving skills and adapt quickly to new challenges. You take a proactive approach, owning challenges and solving them with pride. You demonstrate maturity in ambiguous situations, framing questions, seeking clarity, and making decisions under uncertainty. You communicate complex technical concepts clearly. You are motivated by making a tangible impact and tackling significant problems with creativity and determination. Bonus points: Experience applying machine learning to biological or chemical problems. Knowledge of physics, molecular biology, chemistry, computational biology, bioinformatics, or cheminformatics. Experience with multi-modal learning. Contributions to open-source machine learning projects. Development of efficient C/C++ code. Our Values: Heart: We foster ownership and passion. Excellence: We strive for the highest standards. Practicality: We focus on tangible impact. Honesty: We value transparency and addressing issues openly. Fun: We aim for an engaging, enjoyable work environment. What We Offer: Encouragement of new ideas, creativity, and contrarian thinking. Ownership of your work with milestone-focused management. Competitive salary and equity in a well-funded startup. Excellent medical, dental, and vision coverage. A feedback-oriented environment supporting growth. Opportunities to shape our culture and make a significant impact. Compensation Range: $120K - $250K #J-18808-Ljbffr

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