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Physics Informed Machine Learning Jobs in Bronx, NY

Everstar Inc

Founding AI Engineer

New York, NY · On-site

Physics-informed design safety analyses using world models that reason about thermal hydraulics ... Agentic workflows that compound over time, learning from each regulatory submission to improve the ...

ICF

Senior Climate Analytics Specialist

New York, NY

$95K - $117K/yr

Translate complex climate risk questions into tractable analytical and modeling frameworks, selecting appropriate statistical, machine learning, and physics-informed approaches * Design, train, and ...

Thalo Labs

Senior Machine Learning Engineer

New York, NY · On-site

$150K - $180K/yr

We're building the physical AI layer for HVAC: sensors plus physics-based intelligence that turn ... As our Senior Machine Learning Engineer, you'll own the intelligence layer of Thalo's platform. We ...

Thalo Labs

Senior Machine Learning Engineer

New York, NY

$150K - $180K/yr

We're building the physical AI layer for HVAC: sensors plus physics-based intelligence that turn ... As our Senior Machine Learning Engineer, you'll own the intelligence layer of Thalo's platform. We ...

Thalo Labs

Senior Machine Learning Engineer

New York, NY · On-site

$150K - $180K/yr

We're building the physical AI layer for HVAC: sensors plus physics-based intelligence that turn ... As our Senior Machine Learning Engineer, you'll own the intelligence layer of Thalo's platform. We ...

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How much do physics informed machine learning jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for physics informed machine learning in Bronx, NY is $20.90, according to ZipRecruiter salary data. Most workers in this role earn between $13.03 and $26.54 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the physics informed machine learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are the typical challenges faced by professionals working in physics informed machine learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What is a physics informed machine learning?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What job categories do people searching Physics Informed Machine Learning jobs in Bronx, NY look for? The top searched job categories for Physics Informed Machine Learning jobs in Bronx, NY are:
What cities near Bronx, NY are hiring for Physics Informed Machine Learning jobs? Cities near Bronx, NY with the most Physics Informed Machine Learning job openings:
Physics Informed Machine Learning jobs near you
Infographic showing various Physics Informed Machine Learning job openings in Bronx, NY as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $43,474 per year, or $20.9 per hour.

Machine Learning Scientist/Senior Machine Learning Scientist - Synthesis Planning and Optimization,

Genentech

Manhattan, NY • On-site

$100K - $137K/yr

Full-time

Re-posted 20 days ago

Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

11th of 86 rated pharmaceutical

Job description

Job Summary:
Genentech is a company dedicated to innovating healthcare for a healthier future. They are seeking a Machine Learning Scientist / Senior Machine Learning Scientist to develop machine learning methods for synthesis-aware molecular design to assist scientists in drug discovery.
Responsibilities:
• Develop and advance machine learning methods for synthesis-aware molecular design across retrosynthesis, synthesis planning, molecular generation, and search in synthesizable chemical spaces.
• Integrate proprietary reaction and biochemical data to design the next generation of synthesis-aware models and workflows for hit finding and optimisation.
• Build robust, scalable pipelines for active-learning loops that interface directly with automated and high-throughput synthesis platforms.
• Design novel batch synthesis-planning algorithms that maximise chemical-space coverage, information gain and experimental efficiency.
• Drive scientific impact through publications, open-source releases, and conference talks.
• Collaborate widely with computational and experimental researchers at Roche and with academic partners.
Qualifications:
Required:
• Deep machine-learning expertise with a strong foundation in linear algebra, probability and optimization.
• Hands-on experience in modern machine learning approaches such as graph-neural networks, sequence/language models and reinforcement learning.
• Familiarity with chemistry concepts relevant to synthesis planning and molecular optimisation.
• Experience with small molecule data and cheminformatics toolkits such as RDKit or Openeye.
• Fluency in Python.
• Experience with modern ML frameworks like PyTorch or JAX.
• Experience with scientific software development.
• PhD or equivalent research depth in machine learning, computational chemistry, chemical engineering or a related quantitative field such as physics or statistics.
• Up to 2 years of industry research experience (Scientist) or 2+ years of industry research experience (Senior Scientist).
• Record of scientific excellence evidenced by journal and conference publications or a public portfolio of relevant projects (e.g. hosted on GitHub/GitLab).
Preferred:
• Experience with retrosynthesis or synthesis-planning models.
• Experience with automated/high-throughput synthesis.
Company:
Genentech is a biotechnology research company that specializes in genetic testing and personalized medicines. Founded in 1976, the company is headquartered in South San Francisco, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Genentech employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Genentech

Sourced by ZipRecruiter

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

South San Francisco, CA, US

Year founded

1976

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