... with physics-based machine learning - including physics-informed neural networks, simulation-to-real transfer, or learned physical models Cross-disciplinary collaboration experience - hardware ...
... with physics-based machine learning - including physics-informed neural networks, simulation-to-real transfer, or learned physical models Cross-disciplinary collaboration experience - hardware ...
... with physics-based machine learning - including physics-informed neural networks, simulation-to-real transfer, or learned physical models Cross-disciplinary collaboration experience - hardware ...
... with physics-based machine learning - including physics-informed neural networks, simulation-to-real transfer, or learned physical models Cross-disciplinary collaboration experience - hardware ...
These positions will be filled at either level based on knowledge and related experience as ... physics informed machine learning, agentic AI workflows. * Perform other duties as assigned.
These positions will be filled at either level based on knowledge and related experience as ... physics informed machine learning, agentic AI workflows. * Perform other duties as assigned.
/Responsibilities At Achronix Semiconductor we develop FPGA-based hardware, software, and systems ... Physics
/Responsibilities At Achronix Semiconductor we develop FPGA-based hardware, software, and systems ... Physics
Machine Learning Physics Graduate Student
Livermore, CA · On-site
$9.8K/wk
We have multiple openings for Machine Learning Graduate Student Interns to engage in practical ... These positions are in in the Equation of State Materials Theory Group of the Physics Division of ...
Machine Learning Physics Graduate Student
Livermore, CA · On-site
$9.8K/wk
We have multiple openings for Machine Learning Graduate Student Interns to engage in practical ... These positions are in in the Equation of State Materials Theory Group of the Physics Division of ...
Machine Learning Physics Graduate Student
Livermore, CA · On-site
$6.7K - $8.2K/mo
We have multiple openings for Machine Learning Graduate Student Interns to engage in practical ... These positions are in in the Equation of State Materials Theory Group of the Physics Division of ...
Machine Learning Physics Graduate Student
Livermore, CA · On-site
$6.7K - $8.2K/mo
We have multiple openings for Machine Learning Graduate Student Interns to engage in practical ... These positions are in in the Equation of State Materials Theory Group of the Physics Division of ...
Required : • Proven experience in applying machine learning and AI techniques to solve real-world problems, particularly with generative AI and LLMs • Strong proficiency with Python-based machine ...
Required : • Proven experience in applying machine learning and AI techniques to solve real-world problems, particularly with generative AI and LLMs • Strong proficiency with Python-based machine ...
Machine Learning Research Engineer
Livermore, CA · On-site
$146K - $222K/yr
We have an opening for Machine Learning Research experts to join our team and advance the ... physics-constrained ML, or graph-based learning as demonstrated in software artifacts or ...
Machine Learning Research Engineer
Livermore, CA · On-site
$146K - $222K/yr
We have an opening for Machine Learning Research experts to join our team and advance the ... physics-constrained ML, or graph-based learning as demonstrated in software artifacts or ...
Machine Learning Research Engineer
Livermore, CA · On-site
$9.8K/wk
We have an opening for Machine Learning Research experts to join our team and advance the ... physics-constrained ML, or graph-based learning as demonstrated in software artifacts or ...
Machine Learning Research Engineer
Livermore, CA · On-site
$9.8K/wk
We have an opening for Machine Learning Research experts to join our team and advance the ... physics-constrained ML, or graph-based learning as demonstrated in software artifacts or ...
Machine Learning Research Engineer
$146K - $222K/yr
We have an opening for Machine Learning Research experts to join our team and advance the ... physics-constrained ML, or graph-based learning as demonstrated in software artifacts or ...
Machine Learning Research Engineer
$146K - $222K/yr
We have an opening for Machine Learning Research experts to join our team and advance the ... physics-constrained ML, or graph-based learning as demonstrated in software artifacts or ...
Machine Learning Physics Graduate Student
Livermore, CA · On-site
$6.7K - $8.2K/mo
We have multiple openings for Machine Learning Graduate Student Interns to engage in practical ... These positions are in in the Equation of State Materials Theory Group of the Physics Division of ...
Machine Learning Physics Graduate Student
Livermore, CA · On-site
$6.7K - $8.2K/mo
We have multiple openings for Machine Learning Graduate Student Interns to engage in practical ... These positions are in in the Equation of State Materials Theory Group of the Physics Division of ...
... Research, Physics, Mechanical Engineering, Electrical Engineering or related field. Preferred ... Deep understanding of transformer-based architectures (e.g., BERT, GPT, LLaMA) and their ...
... Research, Physics, Mechanical Engineering, Electrical Engineering or related field. Preferred ... Deep understanding of transformer-based architectures (e.g., BERT, GPT, LLaMA) and their ...
Contractor position; conversion to full-time may be possible based on project success and business ... Bachelor's degree in Computer Science, Electrical Engineering, Physics, Mathematics, Statistics ...
Quick apply
Contractor position; conversion to full-time may be possible based on project success and business ... Bachelor's degree in Computer Science, Electrical Engineering, Physics, Mathematics, Statistics ...
Machine Learning Engineer
Sunnyvale, CA · On-site
$150K - $450K/yr
Contribute to existing documentation or educational content and adapt content based on product ... with Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Computer ...
Quick apply
Machine Learning Engineer
Sunnyvale, CA · On-site
$150K - $450K/yr
Contribute to existing documentation or educational content and adapt content based on product ... with Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Computer ...
2026 Fall Intern - Research & Development: AI/ML
$17.75 - $23.50/hr
Experience with machine learning model development, evaluation, and deployment workflows * Knowledge and experience of physics-based dynamic system modeling * Experience with NeruoSymbolic AI or ...
2026 Fall Intern - Research & Development: AI/ML
$17.75 - $23.50/hr
Experience with machine learning model development, evaluation, and deployment workflows * Knowledge and experience of physics-based dynamic system modeling * Experience with NeruoSymbolic AI or ...
Algorithm Developer III
Santa Clara, CA · On-site +1
$161K - $221K/yr
Develop predictive and control algorithms using a combination of traditional physics-based methods and machine learning approaches. * Build robust, maintainable software modules that integrate ...
Algorithm Developer III
Santa Clara, CA · On-site +1
$161K - $221K/yr
Develop predictive and control algorithms using a combination of traditional physics-based methods and machine learning approaches. * Build robust, maintainable software modules that integrate ...
Algorithm Developer III
Santa Clara, CA · On-site
$161K - $221K/yr
Develop predictive and control algorithms using a combination of traditional physics-based methods and machine learning approaches. * Build robust, maintainable software modules that integrate ...
Algorithm Developer III
Santa Clara, CA · On-site
$161K - $221K/yr
Develop predictive and control algorithms using a combination of traditional physics-based methods and machine learning approaches. * Build robust, maintainable software modules that integrate ...
MSc or PhD student in Computer Science & Engineering/Statistics/Math/Physics, or Advanced Undergraduate * Deep classroom experience in data science or machine learning or prior internship
MSc or PhD student in Computer Science & Engineering/Statistics/Math/Physics, or Advanced Undergraduate * Deep classroom experience in data science or machine learning or prior internship
MSc or PhD student in Computer Science & Engineering/Statistics/Math/Physics, or Advanced Undergraduate * Deep classroom experience in data science or machine learning or prior internship
MSc or PhD student in Computer Science & Engineering/Statistics/Math/Physics, or Advanced Undergraduate * Deep classroom experience in data science or machine learning or prior internship
MSc or PhD student in Computer Science & Engineering/Statistics/Math/Physics, or Advanced Undergraduate * Deep classroom experience in data science or machine learning or prior internship
Quick apply
MSc or PhD student in Computer Science & Engineering/Statistics/Math/Physics, or Advanced Undergraduate * Deep classroom experience in data science or machine learning or prior internship
Physics Based Machine Learning information
See Pleasanton, CA salary details
$5.89 - $7.93
0% of jobs
$7.93 - $9.97
0% of jobs
$9.97 - $12.01
0% of jobs
$12.01 - $14.06
24% of jobs
$14.15 is the 25th percentile. Wages below this are outliers.
$14.06 - $16.10
16% of jobs
$16.10 - $18.14
0% of jobs
$18.14 - $20.19
0% of jobs
$20.19 - $22.23
0% of jobs
$22.23 - $24.27
0% of jobs
The median wage is $24.76 / hr.
$24.27 - $26.32
40% of jobs
$26.32 - $28.36
19% of jobs
$5
$22
$28
How much do physics based machine learning jobs pay per hour?
What types of projects or problems does a Physics Based Machine Learning professional typically work on?
Physics Based Machine Learning professionals often work on projects that involve applying machine learning techniques to physical systems, such as improving simulations in engineering, optimizing energy systems, or accelerating scientific research through data-driven modeling. Daily tasks might include developing algorithms that incorporate physical laws, analyzing simulation data, and collaborating with experts from engineering, data science, or research teams. The role can involve both theoretical and hands-on work, often requiring iterative testing and validation. This environment provides opportunities to tackle cutting-edge challenges, contribute to innovation, and potentially lead to career paths in research, product development, or advanced analytics.
What is a Physics Based Machine Learning job?
A Physics Based Machine Learning job involves developing machine learning models that incorporate physical laws and domain knowledge to improve predictions and interpretability. Professionals in this field work at the intersection of physics, data science, and artificial intelligence to create models that are more robust, generalizable, and efficient, especially in scientific and engineering applications. Responsibilities often include data analysis, algorithm development, numerical simulations, and integrating physics-based constraints into ML models. These roles are common in industries like climate science, robotics, materials science, and computational physics.
What are the key skills and qualifications needed to thrive in the Physics Based Machine Learning position, and why are they important?
To thrive in Physics Based Machine Learning, you need advanced knowledge of physics, strong programming skills (Python, MATLAB, or C++), and a deep understanding of machine learning and statistical modeling, typically supported by a master's or PhD in physics, engineering, or a related field. Familiarity with simulation software, scientific computing libraries (such as TensorFlow, PyTorch, NumPy), and version control systems is essential. Strong problem-solving ability, effective communication, and cross-disciplinary collaboration skills set outstanding candidates apart. These competencies are crucial for designing robust, real-world models that integrate physical principles with data-driven techniques to solve complex problems.
$150K - $277K/yr
Full-time
Medical, Dental, Retirement
Re-posted 17 days ago
Apple rating
8.0
Based on 676 frontline employees who took The Breakroom Quiz
7th of 30 rated technology retailers
Job description
Our Camera Incubation team is a multi-disciplinary team responsible for looking down the road and prototyping new experiences, architectures and technologies. We collaborate with design and product teams to bring new features across the Apple product line. Join us as together we explore concept prototypes, helping shape what intelligent cameras can sense, understand, and do-and the experience they create for the people who use them.
Description
We're looking for a creative ML Research Engineer to join our incubation team, where you'll work across the full stack, from model training and systems integration to rapid prototyping. While working on a diverse portfolio of exploratory projects, you'll bring deep practical knowledge of ML/AI architectures and multimodal sensing applied to physical spaces, paired with a design-centric approach to moving ideas from experiment to integrated system. The ideal candidate is energized by open questions, comfortable navigating ambiguity, quick to reorient when new data shifts the direction, and always able to clearly articulate the motivation, tradeoffs, and risks behind their approach.
Preferred Qualifications
MS or PhD with substantial applied research experience in a relevant area
Ability to clearly communicate technical tradeoffs, risks, and rationale to both technical and non-technical collaborators
Demonstrated comfort with ambiguity and a track record of adapting quickly when direction shifts
Experience working in a research, incubation, or early-stage exploratory environment
Familiarity with on-device or edge ML deployment and its associated constraints
Background in robotics, embedded systems, or real-time sensing pipelines
Knowledge of practical Bayesian reasoning and methods
Experience with physics-based machine learning - including physics-informed neural networks, simulation-to-real transfer, or learned physical models
Cross-disciplinary collaboration experience - hardware, software, design, and research
Minimum Qualifications
BS and a minimum of 3 years relevant industry experience in machine learning or AI engineering
Familiarity with state-of-the-art architectures including transformers, reinforcement learning, and predictive inference
Strong coding skills across modern ML frameworks (e.g. PyTorch), with a practical approach to tooling that includes AI-assisted development as a natural part of the workflow
Proven experience building end-to-end ML pipelines, from data acquisition and preprocessing through training, evaluation, and deployment
Experience architecting and integrating sensing systems that fuse multimodal signals (e.g. vision, audio, IMU, LiDAR) with ML models running on mobile, wearable, or robotic platforms
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
About Apple
Sourced by ZipRecruiter
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Cupertino, CA, US
Year founded
1976