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Full Time Ai Training For Physics Jobs (NOW HIRING)

Agap Technologies

Generative AI Training

Atlanta, GA · On-site

Our Training Features: • You will receive top quality instruction that is famous for Online ... AI training. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM ...

Learnkwik.com

Agentic AI Training

Long Beach, CA · On-site

We offer online training that clearly stands out of the group, sign up for a demo session. Our ... AI. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM extension

Kanshe Infotech

Generative AI Training

Raleigh, NC · On-site

Our Training Features: • You will receive top quality instruction that is famous for Online ... AI. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM extension

Kanshe Infotech

Generative AI Training

Raleigh, NC · On-site

You will receive top quality instruction that is famous for Online IT training. Trainees will ... We are offering online training on Generative AI. . Provide OPT Stem Ext.: Guidance and support for ...

Learnkwik.com

Agentic AI Training

Long Beach, CA

We offer online training that clearly stands out of the group, sign up for a demo session. Our ... We are offering online training on Agentic AI. . Provide OPT Stem Ext.: Guidance and support for ...

UniversalAGI

ML Engineer

San Francisco, CA · On-site

We're building foundation AI models for physics that enable end-to-end industrial automation from ... Run training and fine-tuning workflows end-to-end and iterate quickly on performance improvements.

Prolific

AI Training Experts - Plano, US

Required : • AI Training task skills and verifiable professional experience as an AI Trainer • A willingness to take our skills verification test to assess your suitability for our participant ...

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Full Time Ai Training For Physics information

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$39K

$46.9K

$52.5K

How much do full time ai training for physics jobs pay per year?

As of Jul 29, 2026, the average yearly pay for full time ai training for physics in the United States is $46,902.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $50,500.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Ai Training For Physics vs Data Scientist?

AspectFull Time Ai Training For PhysicsData Scientist
Required CredentialsPhysics degree, programming skills, AI knowledgeStatistics, programming, domain expertise
Work EnvironmentResearch labs, tech companies, academiaCorporate offices, tech firms, consulting
Industry UsageAI development, physics simulations, researchData analysis, predictive modeling, business insights

Full Time Ai Training For Physics focuses on applying AI techniques to physics problems, requiring a physics background and AI skills. Data Scientists analyze data to extract insights across industries. While both roles involve programming and data handling, Full Time Ai Training For Physics emphasizes physics applications, whereas Data Scientists work across diverse sectors.

More about Full Time Ai Training For Physics jobs
What are the most commonly searched types of Ai Training For Physics jobs? The most popular types of Ai Training For Physics jobs are:
What job categories do people searching Full Time Ai Training For Physics jobs look for? The top searched job categories for Full Time Ai Training For Physics jobs are:
Full Time Ai Training For Physics jobs near you
Infographic showing various Full Time Ai Training For Physics job openings in the United States as of July 2026, with employment types broken down into 67% Full Time, 22% Part Time, and 11% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution, with an average salary of $46,902 per year, or $22.5 per hour.

AI Researcher: Physics Foundation Models

Mirror Physics Corporation

New York, NY • On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 7 days ago

Job description

The Company
Mirror Physics is a New York-based AI company working on a new frontier in scientific simulation. We design intelligent systems that understand physics from first principles, providing critical acceleration for advanced technological R&D. Today, we're building the world's most capable AI platform for predicting experimental outcomes in chemistry and materials science, tightly coupling physical simulation with high-throughput experimental verification, to accelerate discovery in biotech, energy, manufacturing, and other domains. Backed by leading investors and scientific experts, we are expanding our research team at a pivotal moment in the field.
The Opportunity
The engine of the Mirror platform is our foundation model for physics-based simulation. As the lead AI researcher in physics model development, you will spearhead the development of new architectures, training algorithms, and evaluation workflows to convert large volumes of physical simulation data into highly scalable, accurate, and general-purpose predictive engines for science and industry.
Key Responsibilities
  • Develop robust, scalable, and generalizable atomistic models with high fidelity across chemical domains.
  • Curate heterogeneous and multi-fidelity datasets into unified training corpora; develop new objectives that maximize data efficiency.
  • Generate novel datasets encompassing an unparalleled diversity of chemical systems consistently computed at the highest level of theory suitable for general chemistries.
  • Develop diagnostic tooling for model performance, failure-mode analysis, and uncertainty quantification; propose new benchmarks that stress-test predictive accuracy, physical consistency, and extrapolation.
  • Engineer downstream tools to enhance model accuracy and speed including model distillation and fine-tuning methods.
  • Engage with the AI-for-science community through publication and contributions at NeurIPS, ICML, ICLR, and other domain venues.
  • Mentor junior researchers and collaborate with applied science and engineering teams.

Who you are
  • Ph.D. or M.S./B.S. with equivalent research record in Physics, Materials Science, Computer Science, or related field with a strong emphasis on machine learning and atomistic modeling.
  • 3+ years experience with deep learning at scale, especially equivariant GNNs, diffusion and transformer architectures.
  • Strong literacy in multi-scale materials modeling from the quantum-mechanical (DFT) through molecular (MD) scales
  • Fluency in Python plus PyTorch and familiarity with distributed training tooling (CUDA, NCCL, Slurm).
  • Excellent collaboration, communication, and team-working skills.
  • Deep commitment and passion for advancing science.

Preferred Extras
  • Contributions to open-source codebases, datasets, or benchmarks in computational chemistry, CFD, or continuum mechanics.
  • Familiarity with JAX.

What We Offer
  • Competitive salary + meaningful equity
  • Full health, dental, and vision benefits for you and your family
  • Personal fitness budget
  • Unlimited PTO and all national holidays

Location & Work Model
Hybrid work available; in-office preferred. Visa sponsorship available.
Equal Opportunity
Mirror is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Apply