... 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
$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
$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
$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 Team Lead
San Francisco, CA · On-site
$250K - $295K/yr
Experience combining physics-based modeling and machine learning , including simulation, scientific computing, surrogate modeling, and/or physics-informed AI approaches * Ability to operate across ...
Machine Learning Team Lead
San Francisco, CA · On-site
$250K - $295K/yr
Experience combining physics-based modeling and machine learning , including simulation, scientific computing, surrogate modeling, and/or physics-informed AI approaches * Ability to operate across ...
Computer Science, Computational Biology, Machine Learning, Statistics, Mathematics, Physics), preferably with a thesis on a computer vision-related topic. • Previous industrial experience of deep ...
Computer Science, Computational Biology, Machine Learning, Statistics, Mathematics, Physics), preferably with a thesis on a computer vision-related topic. • Previous industrial experience of deep ...
By enabling high-fidelity, multi-physics simulation through AI inference across the entire ... We have hybrid offices in London, New York, and Singapore; this role is hybrid based in the San ...
By enabling high-fidelity, multi-physics simulation through AI inference across the entire ... We have hybrid offices in London, New York, and Singapore; this role is hybrid based in the San ...
Machine Learning Engineer
San Francisco, CA · On-site +1
We have hybrid offices in London, New York, and Singapore; this role is hybrid based in the San ... A background in Physics, Engineering, or equivalent Our delivery teams drive innovation to turn AI ...
Machine Learning Engineer
San Francisco, CA · On-site +1
We have hybrid offices in London, New York, and Singapore; this role is hybrid based in the San ... A background in Physics, Engineering, or equivalent Our delivery teams drive innovation to turn AI ...
... based, multi-task, hierarchical, multi-agent, etc.). * Strong background in algorithms, data ... Experience with physics simulation engines and tools for training RL. * Deep understanding of ...
... based, multi-task, hierarchical, multi-agent, etc.). * Strong background in algorithms, data ... Experience with physics simulation engines and tools for training RL. * Deep understanding of ...
... based on predictive finite element simulations and important design load cases. The machine ... in computational physics and mechanics Proficiency in Python and relevant packages for ML ...
... based on predictive finite element simulations and important design load cases. The machine ... in computational physics and mechanics Proficiency in Python and relevant packages for ML ...
Bachelor's or Master's degree in Mathematics, Physics, Computer Science, or a related technical field. * At least 1 year of professional experience in machine learning, statistical analysis, and data ...
Bachelor's or Master's degree in Mathematics, Physics, Computer Science, or a related technical field. * At least 1 year of professional experience in machine learning, statistical analysis, and data ...
Bachelor's or Master's degree in Mathematics, Physics, Computer Science, or a related technical field. * At least 1 year of professional experience in machine learning, statistical analysis, and data ...
Bachelor's or Master's degree in Mathematics, Physics, Computer Science, or a related technical field. * At least 1 year of professional experience in machine learning, statistical analysis, and data ...
Scientist, Machine Learning
$170K - $220K/yr
Eng. in Computer Science, Physics, Applied Mathematics, Materials Science, Computational Biology, or related field. * 4+ years of experience developing machine learning methods for scientific ...
Scientist, Machine Learning
$170K - $220K/yr
Eng. in Computer Science, Physics, Applied Mathematics, Materials Science, Computational Biology, or related field. * 4+ years of experience developing machine learning methods for scientific ...
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 ...
... based, multi-task, hierarchical, multi-agent, etc.). * Strong background in algorithms, data ... Experience with physics simulation engines and tools for training RL. * Deep understanding of ...
... based, multi-task, hierarchical, multi-agent, etc.). * Strong background in algorithms, data ... Experience with physics simulation engines and tools for training RL. * Deep understanding of ...
Scientist, Machine Learning
South San Francisco, CA · On-site
$170K - $220K/yr
Eng. in Computer Science, Physics, Applied Mathematics, Materials Science, Computational Biology, or related field. * 4+ years of experience developing machine learning methods for scientific ...
Scientist, Machine Learning
South San Francisco, CA · On-site
$170K - $220K/yr
Eng. in Computer Science, Physics, Applied Mathematics, Materials Science, Computational Biology, or related field. * 4+ years of experience developing machine learning methods for scientific ...
Integrate physics-based and ML + data-driven approaches , combining force field methods, quantum ... PhD (preferred) in computer science, machine learning, chemical engineering, biophysics, physics ...
Integrate physics-based and ML + data-driven approaches , combining force field methods, quantum ... PhD (preferred) in computer science, machine learning, chemical engineering, biophysics, physics ...
Machine Learning Scientist/Senior Machine Learning Scientist - Agents for Applied Small Molecule ...
San Francisco, CA · On-site +1
$160K - $297K/yr
... Machine Learning Scientist building agents for applied small-molecule drug design ... You will develop autonomous, LLM-driven agentic workflows that orchestrate ML models, physics-based ...
Machine Learning Scientist/Senior Machine Learning Scientist - Agents for Applied Small Molecule ...
San Francisco, CA · On-site +1
$160K - $297K/yr
... Machine Learning Scientist building agents for applied small-molecule drug design ... You will develop autonomous, LLM-driven agentic workflows that orchestrate ML models, physics-based ...
Physics Based Machine Learning information
See Mountain View, CA salary details
$6.24 - $8.40
0% of jobs
$8.40 - $10.57
0% of jobs
$10.57 - $12.74
0% of jobs
$12.74 - $14.90
24% of jobs
$15 is the 25th percentile. Wages below this are outliers.
$14.90 - $17.07
16% of jobs
$17.07 - $19.23
0% of jobs
$19.23 - $21.40
0% of jobs
$21.40 - $23.56
0% of jobs
$23.56 - $25.73
0% of jobs
The median wage is $26.24 / hr.
$25.73 - $27.89
40% of jobs
$27.89 - $30.06
19% of jobs
$6
$23
$30
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 14 days ago
Apple rating
8.0
Based on 675 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