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Machine Learning Chemistry Jobs in New York (NOW HIRING)

Meta

AI Research Scientist, FAIR Chemistry

New York, NY

$184K/yr

The Chemistry team develops AI-based methods to model the world at the atomic level. Chemistry and ... Research background in machine learning, artificial intelligence, computational statistics, applied ...

GBOE

Chemistry Teacher

Garfield, NJ

Designs learning activities to demonstrate the application of science to everyday existence ... fax machines, and telephone. Knowledge, Skills and Abilities * Knowledge of current teaching ...

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Machine Learning Chemistry information

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$14

$24

$35

How much do machine learning chemistry jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for machine learning chemistry in New York is $24.35, according to ZipRecruiter salary data. Most workers in this role earn between $20.00 and $26.83 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in machine learning chemistry?

To thrive in a Machine Learning Chemistry role, you need a solid background in chemistry, expertise in data science and machine learning algorithms, and typically an advanced degree in chemistry, computer science, or a related field. Familiarity with programming languages like Python or R and experience working with cheminformatics tools and machine learning frameworks (such as TensorFlow or scikit-learn) are essential. Strong analytical thinking, problem-solving abilities, and effective communication skills enable professionals to bridge the gap between computational work and experimental research teams. These competencies are crucial for developing innovative solutions in chemical research and ensuring successful collaboration across interdisciplinary teams.

What is a machine learning chemistry?

A Machine Learning Chemistry job involves using artificial intelligence techniques to analyze chemical data, model molecular behaviors, and accelerate discoveries in chemistry-related fields. Professionals in this role develop and apply machine learning algorithms to predict chemical properties, optimize reactions, and assist in drug design, material science, and other applications. They typically work in pharmaceuticals, materials science, or environmental chemistry, collaborating with chemists, data scientists, and engineers to solve complex chemical problems efficiently.

What does a machine learning chemistry do?

Professionals in Machine Learning Chemistry often work on projects such as developing predictive models for chemical property analysis, optimizing molecular structures, or advancing drug discovery through data-driven methods. Daily tasks may include data preprocessing, building and training machine learning models, validating results, and interpreting outcomes in collaboration with experimental chemists. Teamwork is common, with regular interactions between chemistry researchers, data scientists, and software engineers. This structure allows for iterative feedback and ensures that computational models align with practical lab needs. Continuous learning and adaptation are also key, as both the chemistry and machine learning fields are rapidly evolving.

What are the most commonly searched types of Machine Learning Chemistry jobs in New York? The most popular types of Machine Learning Chemistry jobs in New York are:
What are popular job titles related to Machine Learning Chemistry jobs in New York? For Machine Learning Chemistry jobs in New York, the most frequently searched job titles are:
What job categories do people searching Machine Learning Chemistry jobs in New York look for? The top searched job categories for Machine Learning Chemistry jobs in New York are:
Machine Learning Chemistry jobs near you
Infographic showing various Machine Learning Chemistry job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $50,645 per year, or $24.3 per hour.

Machine Learning Researcher and Engineer

StaffRight Associates, LLC

Manhattan, NY • On-site

$300K - $900K/yr

Other

Posted 2 days ago

New

Job description

Practice Group: Machine Learning & Computational BiologyAbout the Role:

Innovation in quantitative science and high-performance computing requires more than data—it demands world-class infrastructure, sophisticated modeling, and flawless execution.

StaffRight Associates has been retained to source elite talent for a premier global quantitative research and technology firm. We are seeking an exceptional Machine Learning Researcher and Engineer to join a highly collaborative, intellectually rigorous interdisciplinary team applying machine learning to drug discovery, biomolecular simulation, and biophysics.

This is a high-impact position designed for a driven problem-solver who thrives at the intersection of deep learning architecture, computational biology, and real-world execution.

Key Responsibilities:

  • Architect & Build: Design, optimize, and maintain critical deep learning models and software tools driving proprietary research in drug discovery and molecular dynamics.

  • Data & Research Execution: Translate complex scientific datasets and abstract biological challenges into clear, scalable, high-performance machine learning frameworks.

  • Systemic Optimization: Enhance model accuracy and computational throughput across specialized high-performance environments and supercomputing platforms.

  • Cross-Functional Collaboration: Serve as a key technical interface, working directly alongside chemists, biologists, and computer scientists.

What You Bring:

  • Academic Pedigree: Bachelor''s, Master’s, or Ph.D. in Computer Science, Applied Mathematics, Biophysics, Medicinal Chemistry, or a related STEM discipline.

  • Technical Mastery: Strong command of core technical concepts and tools including Python, Deep Learning Frameworks, Machine Learning Architecture, Molecular Dynamics, Structural Biology, Cheminformatics, and Quantum Chemistry.

  • Analytical Precision: Proven track record of scientific innovation and solving multi-faceted problems in high-performance computing, deep learning, or computational biology.

  • Agile Mindset: Ability to balance rigorous scientific standards with fast-paced, autonomous execution in a collaborative research environment.

Compensation & Work Model:

  • Base Salary Range: $300,000 – $900,000 annually (commensurate with prior experience and education).

  • Additional Benefits: Variable compensation (sign-on and year-end bonuses), comprehensive health benefits, plus full relocation assistance.

  • Work Schedule: Hybrid (Tuesday through Thursday in office; optional work-from-home on 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 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.

Apply