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Physics Informed Machine Learning Jobs in Bronx, NY

Everstar Inc

Founding AI Engineer

New York, NY · On-site

  • Medical

  • Dental

  • Vision

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 · On-site

$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

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

PhysicsX

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

  • Retirement

  • PTO

By enabling high-fidelity, multi-physics simulation through AI inference across the entire ... Who We're Looking For As a Senior Machine Learning Engineer in Delivery, you are an experienced ...

Applied Physics

Data Scientist

New York, NY · On-site

Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join ... analysis, machine learning, information visualization, as well as others. Responsibilities:

Applied Physics

Data Scientist

New York, NY · On-site

Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join ... analysis, machine learning, information visualization, as well as others. Responsibilities:

Applied Physics

Data Scientist

New York, NY · On-site

Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join ... analysis, machine learning, information visualization, as well as others. Responsibilities:

Schrodinger

Machine Learning Force Field Scientist

New York, NY · On-site

$120K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We're seeking a Machine Learning (ML) Scientist to join us in our mission to transform the ... Schrodinger has pioneered a physics-based software platform that enables discovery of high-quality ...

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

As of Aug 15, 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.

Senior Machine Learning Engineer, Simulation

Waymo

Manhattan, NY • On-site

$115K - $158K/yr

Full-time

Re-posted 9 days ago

Job description

Job Summary:
Waymo is an autonomous driving technology company focused on building the Waymo Driver to improve mobility and safety. They are seeking a Senior Machine Learning Engineer to develop and implement machine learning models and infrastructure that assess the behavior of their autonomous vehicles.
Responsibilities:
• Report into the TLM for the Learned Metrics Team
• Develop ML models that assess our autonomous vehicle's behavior.
• Develop ML infrastructure to support performant models.
• Collaborate across teams to bring state-of-the-art to production.
Qualifications:
Required:
• BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area, or equivalent work experience
• 2+ years of experience building productionized ML models
• Code and design skills: comfort building production systems (Python / C++)
• Background in applied Deep Learning
• A track record in improving model quality
Preferred:
• 4+ years of experience building productionized ML models
• Experience in reinforcement learning, transfer learning, or learning.
• Experience with large scale data and models
Company:
Waymo is a mobility technology company that improves transportation by developing self-driving solutions for travelers and daily commuters. It is a sub-organization of Alphabet. Founded in 2009, the company is headquartered in Mountain View, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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