LLM Researchers and Engineers

Hybrid in New York, NY, US • Posted 8 hours ago • Updated 8 hours ago
Full Time
No Travel Required
On-site
450000 - 1000000/yr
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Job Details

Skills

  • Python
  • Machine Learning Systems
  • Large Language Models (LLM Architecture)
  • Multimodal Learning
  • Pre-Training Data Pipelines
  • Distributed Training
  • Parallel Training
  • Post-Training Techniques
  • Reinforcement Learning
  • Contrastive Learning
  • Instruction Tuning
  • High-Performance Computing Optimization
  • Model Inference Optimization
  • Computational Biology
  • Molecular Graph Processing
  • 3D Structure Modeling
  • Time Series Analysis

Summary

Practice Group: Machine Learning & Scientific AI Research

About the Role:

Innovation in computational biology, machine learning, and high-performance computing requires more than data—it demands world-class infrastructure, sophisticated modeling, and flawless execution.

StaffRight Associates is recruiting for an elite talent for a premier global computational biochemistry and technology research firm. We are seeking exceptional LLM Researchers and Engineers to join an interdisciplinary, highly collaborative, intellectually rigorous team developing and applying Large Language Models (LLMs) to complex problems in molecular science and drug discovery.

This is a high-impact position designed for driven problem-solvers who thrive at the intersection of foundational AI research, large-scale multimodal model development, and breakthrough scientific execution using proprietary supercomputing infrastructure.

Key Responsibilities:

  • Architect & Build: Scale and optimize large model training and inference workflows across high-performance computing environments.

  • Data & Research Execution: Design data pipelines and execute pre-training, distributed training, and parallel training architectures.

  • Systemic Optimization: Implement advanced post-training techniques, including Reinforcement Learning, Contrastive Learning, and Instruction Tuning.

  • Cross-Functional Collaboration: Work directly with machine learning researchers, software engineers, and domain experts to integrate non-text modalities (e.g., Molecular Graphs, 3D Structures, Time Series) into multimodal models.

What You Bring:

  • Academic Pedigree: Bachelor''''s, Master’s, or Ph.D. in Computer Science, Applied Mathematics, Machine Learning, Physics, Computational Biology, or a related STEM discipline with a track record of achievement.

  • Technical Mastery: Deep expertise in Large-Scale Machine Learning Systems, LLM Architecture, Multimodal Learning, and strong Python Programming skills.

  • Analytical Precision: Proven capability in solving complex challenges in AI Model Pre-Training, Post-Training, and Distributed Computing.

  • Agile Mindset: Intellectual curiosity, versatility, and the ability to balance rigorous engineering standards with fast-paced, autonomous execution under pressure.

Compensation & Work Structure:

  • Base Salary: $450,000 – $1,000,000 annually, complemented by sign-on and year-end variable compensation alongside full benefits and relocation assistance.

  • Schedule: Hybrid model (In-office Tuesday through Thursday, with remote flexibility Monday and Friday).

Why Apply Through StaffRight Associates?

At StaffRight Associates, we specialize in placing elite technical talent into industry-defining roles. Partnering with us gives you:

  • Direct Access: We manage to put your profile directly in front of the hiring decision-makers, bypassing automated ATS filters.

  • Transparent Guidance: Comprehensive insight into the interview process, technical expectations, and firm culture.

  • Confidential Representation: Your background and candidacy are handled with total discretion at every step.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90939179
  • Position Id: 9050316
  • Posted 8 hours ago

Company Info

About StaffRight Associates, LLC

StaffRight Associates is a premier recruitment and staffing partner that provides talent to a broad and diverse range of corporate disciplines. StaffRight was crafted out of an industry need to better manage the processes and complexities of today’s recruitment and staffing demands. With company beginnings formulated in the industry over 30 years ago, our founder realized that there was a definitive need to utilize recruitment and staffing more efficiently and effectively than what has been the typical industry standard model. StaffRight is dedicated to servicing our clients with a comprehensive, scientific approach of refining the process throughout our clients' engagements.  

Understanding and committing to our employees is critical to the growth and sustainability of StaffRight. We are of the opinion that regardless of their expertise, a successful company needs great people. The success of an employee is realized in a variety of different ways, but for us, we go well beyond one's credentials and interview. Finding the best employees who possess the needed skills, experience, and education are certainly key in a hire, but to truly find great employees who feel they are an integral part of the company, it takes tremendous insight in understanding what makes someone successful. Passion for one’s work, commitment to excellence, and having a ‘get it done’ attitude are essential for a great employee. Having these qualities also goes a long way in ensuring that an employee always has the client's best interests in mind. Great employees are passionate about their work and the company where they hang their jacket. Additionally, we believe that having refined and solid communication skills is also paramount in enabling all employees to work together towards the common goals and successes of the company. This collaboration is very much based on our employees' ability to listen to others and respond effectively, both internally with each other, and externally to our clients. 

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Nick Ingaciola

Nick Ingaciola

Director/Owner @ StaffRight Associates, LLC
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