Join a world-class interdisciplinary collective to revolutionize technology and life sciences. Design and deploy sophisticated deep learning frameworks and LLM architectures. Utilize massive computational power to solve complex problems in biophysics.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, StaffRight Associates, LLC, is seeking the following. Apply via Dice today!
The Opportunity
This role is based in New York, NY, offering a hybrid work model (3 day in-office, 2 days remote) and an elite compensation package ranging from $300,000 to $800,000, supplemented by sign-on bonuses, relocation assistance, and full visa sponsorship for qualified candidates.
The Opportunity
The client values an exceptional academic pedigree—typically a PhD or equivalent advanced degree—complemented by a history of pushing the boundaries of machine learning through published research or transformative technical projects.
On their behalf, StaffRight Associates is seeking a visionary Senior Research Scientist Engineer to join a world-class interdisciplinary collective dedicated to revolutionizing the intersection of technology and the life sciences. This role offers the rare chance to utilize massive computational power, including proprietary, custom-built supercomputing hardware, to solve the most complex problems in biophysics. The client welcome candidates of all experience levels, provided there is clear evidence of exceptional technical achievement in large-scale ML.
What You’ll Do
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- 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.
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- 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.
Interested in relocating to United State? Check out our comprehensive Relocation Jobs in United State page with detailed relocation packages and benefits.
At StaffRight Associates, we specialize in identifying and placing elite talent into roles that define the future of technology and science. This position offers a premier compensation structure tailored to experience, supplemented by robust variable bonuses and comprehensive relocation and visa support.
When you partner with us, you are aligning yourself with a team of experts committed to placing top-tier talent in truly impactful positions. We take pride in fostering professional growth and connecting forward-thinking individuals with organizations that value radical innovation.
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