Senior Research Scientist Engineer, Foundational ML

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 Mission

StaffRight Associates has been retained to identify elite Machine Learning Researchers and Engineers to spearhead the synthesis of Large Language Models (LLMs) with high-fidelity molecular science. This role is not merely about model deployment; it is a mission to engineer a foundational bridge between advanced computational linguistics and the atomic-level simulation of biological systems. You will orchestrate the development of multimodal architectures that translate complex scientific data into actionable breakthroughs in drug discovery, leveraging some of the world''s most sophisticated, custom-built supercomputing environments to redefine the limits of biophysical simulation.

Core Technical Objectives

• Orchestrate the end-to-end lifecycle of massive-scale LLM training, optimizing complex workflows to extract maximum performance from proprietary high-performance computing (HPC) ecosystems.

• Engineer robust data ingestion and pre-training pipelines capable of handling distributed and parallel training across specialized hardware architectures.

• Refine model intelligence through advanced post-training methodologies, including instruction tuning, contrastive learning, and reinforcement learning frameworks.

• Synthesize multimodal learning systems that integrate non-textual data—such as 3D atomic coordinates, molecular graphs, and temporal series—into unified transformer-based architectures.

• Validate the structural alignment of model outputs against real-world molecular dynamics, ensuring that computational predictions maintain first-principles accuracy.

Candidate DNA

• Architectural Mastery: Deep-seated expertise in the internal mechanics of LLM architectures and the systemic challenges of scaling machine learning systems.

• Technical Versatility: Exceptional command of Python and a high-degree of fluency in distributed computing principles.

• First-Principles Philosophy: An innate ability to decouple complex scientific problems from their domain-specific jargon to apply generalized ML innovations.

• Intellectual Agility: A proven track record of navigating uncharted waters, specifically at the intersection of multimodal learning and high-stakes scientific discovery.

• Collaborative Precision: The ability to work within a high-density, interdisciplinary team where technical clarity and creative problem-solving are paramount.

Academic & Research Pedigree

• Rigorous Foundation: A PhD or Master’s degree from a top-tier global institution in Computer Science, Mathematics, Physics, or a related quantitative field.

• Demonstrated Innovation: A sophisticated portfolio of research or professional achievements, potentially including high-impact publications or the successful deployment of large-scale models in a production or research setting.

• Computational Depth: A strong background in mathematical modeling and a desire to apply that rigor to the simulation of biologically significant systems.

Partnering with StaffRight Associates

At StaffRight Associates, we operate at the intersection of technical synthesis and structural alignment. We don’t just match resumes to keywords; we map your engineering DNA, your architectural philosophy, your approach to system resilience, and your Goal-Execution-Mapping, to the most sophisticated STEM challenges in the industry. When you partner with us, you are engaging with a team that speaks your language and understands the nuances of high-stakes innovation. We are committed to placing elite talent where their technical contributions drive systemic impact.