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Physics Informed Machine Learning Jobs in Santa Clara, CA

Machine Learning Engineer, Ads Targeting

San Jose, CA · On-site

$156K - $316K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

We are seeking Machine Learning Engineers who can help us to improve our existing delivery system ... Mathematics, Physics or similar quantitative fields, with related experience. • Hands-on ...

Machine Learning Engineer

Mountain View, CA · On-site +1

$196K - $221K/yr

As a Machine Learning Engineer, you'll bring your strong software engineering mindset to machine ... informed by both research and production constraints. * Own end-to-end ML system lifecycles , from ...

Machine Learning Engineer- GenAI

Cupertino, CA

$150K - $277K/yr

  • Medical

  • Dental

  • Retirement

Masters in Artificial intelligence, Machine Learning, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering or related field. Pay & Benefits At ...

Machine Learning Engineer- GenAI

Cupertino, CA

$150K - $277K/yr

  • Medical

  • Dental

  • Retirement

Masters in Artificial intelligence, Machine Learning, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering or related field. Pay & Benefits At ...

A degree in computer science, statistics, operations research, applied physics, engineering, or a ... machine learning. Together, we'll develop groundbreaking solutions that empower creatives around ...

Showing results 41-60

Physics Informed Machine Learning information

See Santa Clara, CA salary details

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

As of Aug 14, 2026, the average hourly pay for physics informed machine learning in Santa Clara, 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 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 Santa Clara, CA look for?

The top searched job categories for Physics Informed Machine Learning jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Physics Informed Machine Learning jobs?

Cities near Santa Clara, CA with the most Physics Informed Machine Learning job openings:

Infographic showing various Physics Informed Machine Learning job openings in Santa Clara, CA as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $49,010 per year, or $23.6 per hour.

(General Hire) Multi-modal Machine Learning Engineer - Trust and Safety

TikTok

San Jose, CA • On-site

$162K - $387K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 6 days ago


TikTok rating

8.2

Company rating: 8.2 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

107th of 244 rated software companies


Job description

Responsibilities
Our Trust and Safety team is fast growing and responsible for building machine learning models and systems to protect our users from the impact of negative content. Our mission is to protect billions of users and publishers across the globe every day. We embrace the state-of-the-art machine learning technologies and scale them to moderate the tremendous amount of data generated on the platform. With the continuous efforts from our team, TikTok is able to provide the best user experience and bring joy to everyone in the world. We are looking for excellent machine learning engineers who can take initiatives, design and develop advanced machine learning solutions, and deploy them directly to TikTok's global platform. A successful candidate will have machine learning expertise and good software engineering experience. And you will take pride in working with engineers, product managers and business partners to identity and solve the most challenging safety and integrity problems in the internet scale. You will be evaluated for five sub-teams working on various areas of Trust and Safety during the general hire process. Responsibilities - What You'II Do
• Lead and build content understanding models for content moderation.
• Work on state-of-the-art content understanding techniques including but not limited to unimodal/multimodal content classifiers, graph models, representation learning models, and LLM.
• Collaborate with product teams to define business objectives and improve trust and safety strategy.
• Collaborate with engineering teams to deploy machine learning models, design online model workflow, and implement serving pipeline at scale.
• Collaborate with data scientist team to understand the key challenges and propose data-driven strategies.
Qualifications
Minimum Qualifications: - BS/MS degree in Computer Science, Statistics, Operation Research, Applied Mathematics, Physics or similar quantitative fields, with 2+ years of related experience. - Hands-on experience in one or more of the following areas: machine learning (CV/NLP/Multimodal/Graph/LLM), statistical models and applied mathematical methods. - Strong coding skills, especially in Python and similar languages. - Curiosity towards new technologies and entrepreneurship, good communication and teamwork skills. Preferred Qualifications: - Experience in LLM, multimodal modeling, representation learning and/or publications in AI/ML conferences are a plus. - Understanding of the business value of content understanding and content moderation. - Experience in developing online ML systems including ranking, retrieval.
Job Information
[For Pay Transparency]Compensation Description (Annually)
The base salary range for this position in the selected city is $162000 - $387600 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

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