Senior Research Scientist Engineer - Foundational ML
About the Role
We are seeking a Senior Research Scientist Engineer to join our team remotely. This role offers an exceptional opportunity to work at the intersection of technology and life sciences, utilizing advanced machine learning techniques to solve complex biophysical problems.
What You'll Do
- Architect & Scale: Design and deploy sophisticated deep learning frameworks and LLM architectures to accelerate the discovery of transformative therapeutic compounds.
- Optimize Workflows: Champion the integration of ML workflows—including pre-training, post-training, and inference—within a custom, high-speed supercomputing infrastructure.
- Engineer for Impact: Write high-performance Python code to deploy neural networks that surpass the limitations of traditional quantum chemistry models.
- Drive Generative Innovation: Lead the evolution of generative models and multimodal learning to design optimized biological macromolecules and proteins.
- Synthesize & Innovate: Collaborate with a diverse team of chemists and biologists to translate cutting-edge LLM breakthroughs into practical, scalable scientific tools.
Requirements
- LLM & Generative Mastery: Proven expertise in developing and training Large Language Models (LLMs), including experience in scaling large model training and optimizing complex inference workflows.
- Programming Expertise: Expert-level proficiency in Python (additional coding experience is a significant plus) and standard frameworks like PyTorch, JAX, or TensorFlow.
- Elite Background: A distinguished record of innovation, likely originating from high-impact tech environments (e.g., OpenAI, Google DeepMind, Meta, Anthropic, NVIDIA) or premier academic labs focused on protein language models.
- Scientific Versatility: While experience in drug discovery or biomolecular simulation is helpful, no prior scientific background is required for candidates with exceptional ML credentials.
- Intellectual Rigor: A desire to work in a high-energy research culture that rewards cross-functional ingenuity and rigorous scientific inquiry.
What We Offer
- Competitive salary ranging from $300,000 to $800,000, based on experience.
- Comprehensive relocation support to assist with your move.
- Full visa sponsorship for qualified candidates.
- Sign-on bonuses and robust variable bonuses.
- A collaborative and innovative work environment.
This Senior Research Scientist Engineer role offers a unique opportunity to work at the forefront of AI and life sciences, with a competitive salary and relocation support.
Who Will Succeed Here
Proficiency in Python and experience with deep learning frameworks such as TensorFlow and PyTorch, with a strong focus on deploying scalable LLM architectures for biophysical applications.
A self-motivated and adaptable mindset suited for a hybrid work environment, capable of balancing independent research with collaborative projects across diverse teams.
Strong analytical skills with a proven track record of applying machine learning techniques to real-world problems, particularly in the life sciences sector, demonstrating the ability to translate complex data into actionable insights.
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