Machine Learning - Engineer & Researcher

Hybrid in New York, NY, US • Posted 5 hours ago • Updated 5 hours ago
Full Time
No Travel Required
On-site
300000 - 900000/yr
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Job Details

Skills

  • Machine Learning
  • Deep Learning
  • Python
  • Computational Biophysics
  • Molecular Dynamics
  • Neural Network Architecture
  • Graph Neural Networks (GNNs)
  • Generative Modeling
  • Reinforcement Learning
  • Quantum Chemistry
  • Structural Biology
  • Cheminformatics
  • High-Performance Computing (HPC)
  • Algorithmic Optimization
  • Technical Synthesis
  • Statistical Modeling
  • First-Principles Research
  • Software Engineering

Summary

Preface

The architectural integrity of global investment and technology research relies on the seamless convergence of Machine Learning and rigorous computational execution. Within this domain, where the synthesis of complex data and high-performance systems is the primary objective, the necessity for first-principles mastery extends beyond the laboratory and into the operational nucleus of the organization. StaffRight Associates is seeking an elite professional to join the Machine Learning Research and Engineering team at a world-class firm dedicated to the advancement of computational excellence. This role demands a candidate who possesses the intellectual pedigree required to navigate the complex challenges of a research-intensive environment. By bridging specialized technical awareness with proactive problem-solving, the successful candidate will ensure the structural alignment of the firm’s strategic mission with its technical execution.

The Mission

StaffRight Associates is recruiting for a Machine Learning Researcher / Engineer to serve as a vital catalyst within a premier organization. The mission is to decouple systemic friction from analytical progress, allowing the firm’s leadership to maintain a singular focus on the acceleration of Biomolecular Simulation, Drug Discovery, and Computational Biophysics. You will be tasked with the sophisticated management of Deep Learning Architecture and Predictive Modeling, transforming abstract organizational needs into formalized, actionable results. This role requires a high degree of technical literacy to effectively support a team leveraging proprietary architectures and sophisticated algorithms to revolutionize Therapeutic Discovery and Molecular Biology.

Core Technical Objectives

  • Orchestrate Systemic Workflows: Formalize and execute complex protocols and high-stakes technical workflows to ensure continuous operational flow for the Machine Learning Research group.

  • Synthesize Complex Data: Conduct ad hoc technical and market research projects, distilling multifaceted information into coherent frameworks (such as neural networks that improve the accuracy of quantum chemistry models) that support strategic decision-making.

  • Optimize Operational Frameworks: Validate and process intricate documentation and technical requirements with meticulous attention to detail and systemic accuracy.

  • Engineer Multi-Project Solutions: Independently manage a diverse portfolio of concurrent projects, applying a proactive Goal-Execution-Mapping (GEM) approach to solve emergent bottlenecks.

  • Facilitate Elite Communication: Serve as a discreet and articulate interface between the technical committee and internal/external stakeholders, maintaining the highest standards of professional integrity.

Candidate DNA

  • Architectural Philosophy: A mindset rooted in efficiency and resilience, with the ability to navigate a hybrid, high-pressure environment without supervision.

  • Resourceful Problem-Solving: A proven track record of autonomous execution, demonstrating the ability to anticipate systemic bottlenecks before they impact the broader workflow.

  • Communication Precision: Exceptional interpersonal skills characterized by clarity, discretion, and the ability to interact with elite scientific and business minds.

  • Functional Versatility: A generalist mindset capable of pivoting between rigorous execution and technical inquiry within a high-performance ecosystem.

Academic & Research Pedigree

  • Educational Foundation: An advanced degree is preferred; Masters - PhD, ideally within a STEM discipline or a related field that provides a foundation for understanding Machine Learning Frameworks and Computational Sciences.

  • Domain Expertise: Prior professional engagement within high-performance computing, quantitative finance, or advanced technology sectors is highly advantageous. Demonstrated expertise in developing deep learning techniques and strong Python programming skills are required.

  • Quantitative Literacy: Comfort with the mathematical and operational rigor inherent in a firm focused on supercomputing, specialized hardware architectures (e.g., ANTON®), and high-speed data processing.

Compensation & Benefits

  • Annual Base Salary: $300,000–$900,000 (determined based on the nature and extent of prior experience and educational background).

  • Variable Compensation: Sign-on and year-end bonuses.

  • Additional Provisions: Generous benefits package including relocation and immigration assistance.

  • Work Structure: A hybrid work schedule (in-office Tuesday through Thursday, with the option of working from home on Monday and Friday).

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, and your approach to system resilience to the most sophisticated STEM challenges in the industry.

When you partner with us, you are engaging with an elite 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.

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: 8989553
  • Posted 5 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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