Research Scientist – PyTorch, Diffusion Modeling, Generative Models, Large Language Models
Location: United States (Hybrid Work Environment Available)
Join a ground breaking team of machine learning researchers, protein engineers, and biologists driving innovation at the intersection of AI and biology. As a Research Scientist, you’ll develop cutting-edge generative models to create functional proteins, with results validated through wet lab assays.
About the Organization
This company is a leader in generative AI for synthetic biology, pioneering advanced gene-editing technologies to tackle complex genetic diseases. Their mission is to revolutionize healthcare by merging artificial intelligence with biology to address some of the world’s toughest challenges in health and medicine.
What You’ll Do
Develop Machine Learning Models (90%)
- Curate, pre-process, and evaluate training datasets and design ML metrics tailored to real-world applications.
- Prototype and refine generative models, contribute to shared codebases, and collaborate with interdisciplinary teams of scientists and engineers.
- Partner with biologists to design wet lab testing campaigns and iteratively improve models based on experimental results.
- Maintain and optimize computational infrastructure for ML development.
Learn and Grow (10%)
- Stay up-to-date with the latest developments in machine learning and AI.
- Build a working knowledge of protein and cell biology.
- Share knowledge through presentations, internal discussions, and participation in industry conferences.
Who You Are
Ideal Candidate Profile
You’re an accomplished machine learning researcher with:
- A strong background in generative modeling, demonstrated by contributions to major open-source libraries, product launches, or high-impact publications.
- Expertise in building, training, and optimizing machine learning models.
- Proficiency in Python, PyTorch, or TensorFlow, and experience with cloud-based ML workflows.
- A passion for optimizing performance at the intersection of hardware and software.
- A mission-driven mindset, curiosity, and a proven ability to thrive in fast-paced, dynamic environments.
Preferred Qualifications
- Experience with computational biology, protein design, or ML-driven biological projects.
- Academic background in natural sciences like physics, biology, or chemistry.
Why Join Us?
- Work on ground breaking projects with real-world impact in synthetic biology and healthcare.
- Enjoy a competitive compensation package, comprehensive benefits, and a supportive, collaborative team.
- Thrive in a hybrid work environment that values flexibility and innovation.
Ready to make an impact at the cutting edge of AI and biology? Apply now!
