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Artificial Intelligence Machine Learning Physics Jobs in Novato, CA

CYNET SYSTEMS

Principal Data Scientist

Oakland, CA · On-site

$128 - $148/hr

Applies data science/machine learning/artificial intelligence methods to develop defensible and ... Familiarity with the use of supervised, unsupervised, deep learning & physics-based methods for ...

Alljoined

Machine Learning Researcher

San Francisco, CA · On-site

$140K - $250K/yr

D.) in computer science or a related field-such as artificial intelligence, computational neuroscience, or biomedical engineering-and at least three years of experience in machine learning research ...

MNF Global

EE/CS Patent Agent

San Francisco, CA

$140K - $240K/yr

... physics. Preferred experience includes patent prosecution in Artificial Intelligence , Machine Learning , 5G-Telecom , Robotics and Semiconductor Manufacturing and Packaging . This opportunity is ...

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

About the Role At Poesis, machine learning and artificial intelligence open the door to improved alpha discovery, higher quality decision-making and intelligent risk management. We're looking for an ...

MNF Global

EE/CS Patent Attorney or Agent

San Francisco, CA · Hybrid

$150K - $200K/yr

Artificial Intelligence & Machine Learning * Automotive Technologies * Software & Computer Systems ... Electrical Engineering, Computer Science , Computer Engineering , Physics or related degrees. * 3+ ...

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Artificial Intelligence Machine Learning Physics information

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How much do artificial intelligence machine learning physics jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for artificial intelligence machine learning physics in Novato, CA is $23.56, according to ZipRecruiter salary data. Most workers in this role earn between $14.66 and $29.90 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning physicist, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Physicist, you need a strong background in physics, advanced mathematics, computer science, and experience with machine learning algorithms, typically supported by a graduate degree in a related field. Proficiency in programming languages such as Python or C++, machine learning frameworks like TensorFlow or PyTorch, and familiarity with data analysis tools are essential, along with experience in scientific computing. Critical thinking, problem-solving, and strong communication skills help you interpret complex data, collaborate across disciplines, and convey research findings effectively. These combined skills are crucial for developing innovative AI models, driving scientific discovery, and advancing technology at the intersection of physics and machine learning.

What is artificial intelligence machine learning physics?

Artificial Intelligence Machine Learning Physics is an interdisciplinary field that applies AI and machine learning techniques to solve complex problems in physics. Experts in this area use algorithms to analyze large datasets, model physical phenomena, and accelerate scientific discoveries. The field combines knowledge of physics, computer science, and mathematics to design models that can predict, simulate, or interpret physical processes. Applications include materials science, quantum mechanics, astrophysics, and more, making it a rapidly growing area of research and industry.

What collaborative projects can professionals in artificial intelligence machine learning physics expect to work on?

Professionals in Artificial Intelligence Machine Learning Physics often work on interdisciplinary teams, partnering closely with data scientists, physicists, and software engineers. They may contribute to projects such as developing advanced simulation tools, optimizing experimental data analysis, or creating machine learning models to predict physical phenomena. Collaboration is key, as these roles frequently involve integrating AI algorithms with physical models and leveraging domain-specific knowledge from physics experts. This dynamic environment fosters continual learning and offers opportunities to lead innovative research or transition into specialized engineering and research leadership roles.

What is the difference between Artificial Intelligence Machine Learning Physics vs Data Scientist?

AspectArtificial Intelligence Machine Learning PhysicsData Scientist
Required credentialsDegree in Computer Science, Physics, or related fields; certifications in AI/MLDegree in Statistics, Mathematics, Computer Science; certifications in data analysis
Work environmentResearch labs, tech companies, academia focusing on AI/ML applications in physicsBusiness, finance, healthcare sectors analyzing large datasets
Industry usageDeveloping AI models for physics simulations, research, and technologyExtracting insights from data to inform business decisions

Artificial Intelligence Machine Learning Physics and Data Scientist roles share a focus on data analysis and technical skills. However, AI/ML Physics emphasizes developing algorithms within physics contexts, while Data Scientists focus on analyzing diverse datasets across industries. Both roles often require similar educational backgrounds and certifications, but their applications and work environments differ significantly.

What job categories do people searching Artificial Intelligence Machine Learning Physics jobs in Novato, CA look for?

The top searched job categories for Artificial Intelligence Machine Learning Physics jobs in Novato, CA are:

What cities near Novato, CA are hiring for Artificial Intelligence Machine Learning Physics jobs?

Cities near Novato, CA with the most Artificial Intelligence Machine Learning Physics job openings:

Artificial Intelligence Machine Learning Physics jobs near you

AI Scientist, Computational Protein Design

Xaira Therapeutics

South San Francisco, CA

$120K - $240K/yr

Full-time

Re-posted 18 days ago

Job description

About the Role

As an AI Scientist, you will have prior experience in developing and implementing new deep learning methods while upholding a track record of AI Innovation demonstrated through publications in Artificial Intelligence/Machine Learning or projects applying them to interdisciplinary fields. You will be a crucial member of our core AI team, comprising highly creative and talented peers who are all experts in developing state of the art AI models. With your team, you will initiate and drive new projects that advance the SOTA AI models for biology impacting drug discovery and clinical development. You will also have the chance to work closely with interdisciplinary experts with world-class biology, drug discovery, and clinical expertise.

We welcome candidates with diverse backgrounds and experiences. Whether you are an entry-level candidate eager to learn and grow, a mid-level professional seeking new challenges, or a seasoned expert looking to make a significant impact, we encourage you to apply.

Qualifications

  • Track record of AI Innovation demonstrated through publications in Artificial Intelligence/Machine Learning or projects applying them to interdisciplinary fields
  • Experienced in developing and implementing new deep learning methods
  • Experienced in PyTorch, training and inference of large models on GPUs
  • Scientifically curious with an interest to work on interdisciplinary teams
  • PhD in Computer Science/Artificial Intelligence/ Machine Learning or related technical fields
  • 3+ years of work experience post-PhD in an industrial setting or equivalent academic post-doctoral experience
  • Peer reviewed published research in developing AI methods (example in ICLR, NeurIPS, ICML, Nature, Science, Cell etc.)
  • Experience in working at the interface of AI and Biology
  • Experience working on large scale distributed training and inference
  • Experience communicating research for public audiences of peers
  • Participation in the open-source community

Compensation

We offer a competitive compensation and benefits package, including base salary, bonus, and equity. The base pay range for this position is expected to be $120,000 - $240,000 annually; however, the base pay offered may vary depending on market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics is an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

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