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Position: Machine Learning Simulation Engineer
Institution: Apple Inc.
Location: Cupertino, California, United States
Duties: Maintaining a strong relationship with other teams to integrate new algorithms and models as they become available; Developing and maintaining appropriate software interfaces and improving runtime performance of our simulation environment in support of Reinforcement Learning and other types of ML use cases; Integrating existing, and possibly also build new, data-driven models for the simulation of realistic agent behaviors and sensor outputs, as well as synthetic scenario generation; Improving performance and maintaining data ingestion pipelines for playback- based simulation workflows; Expectations also include hands-on experience with data logs from real-world experiments, identification of sim-to-real gaps that might impact our ML models, and implementation of appropriate fixes and mitigations
Requirements: MS in engineering (ML, robotics) and 2+ years of industry experience or equivalent industry experience; Strong proficiency in C++, Python, and best practices in object-oriented design. Familiarity with PyTorch, OpenAI Gym, and RLlib toolkits; Expertise in statistical modeling, parameter optimization, and system identification techniques; Experience benchmarking and debugging complex software systems; Ability to work synergically and cross-functionally in large-scale software development projects; At ease with Git, Docker, and UNIX-based software development
   
Text: Careers at Apple Work at Apple Life at Apple Profile Sign In Search Jobs at Apple Machine Learning Simulation Engineer Santa Clara Valley (Cupertino), California, United States Machine Learning and AI Back to search results Summary Posted: Aug 31, 2021 Role Number:200283703 Deliver innovative solutions at the intersection of machine learning (ML) and simulation in the context of autonomous systems development. Key Qualifications Strong proficiency in C++, Python, and best practices in object-oriented design. Familiarity with PyTorch, OpenAI Gym, and RLlib toolkits. Expertise in statistical modeling, parameter optimization, and system identification techniques. Experience benchmarking and debugging complex software systems. Ability to work synergically and cross-functionally in large-scale software development projects. At ease with Git, Docker, and UNIX-based software development. Description A successful applicant is expected to undertake software projects for the development and improvement of simulation tools in support of ML models and methods, as well as integrating novel and existing ML results into a shared simulation ecosystem to increase its capabilities. RESPONSIBILITIES INCLUDE BUT ARE NOT LIMITED TO: - Maintaining a strong relationship with other teams to integrate new algorithms and models as they become available. - Developing and maintaining appropriate software interfaces and improving runtime performance of our simulation environment in support of Reinforcement Learning and other types of ML use cases. - Integrating existing, and possibly also build new, data-driven models for the simulation of realistic agent behaviors and sensor outputs, as well as synthetic scenario generation. - Improving performance and maintaining data ingestion pipelines for playback- based simulation workflows. - Expectations also include hands-on experience with data logs from real-world experiments, identification of sim-to-real gaps that might impact our ML models, and implementation of appropriate fixes and mitigations. Education & Experience MS in engineering (ML, robotics) and 2+ years of industry experience or equivalent industry experience. Back to search results See all roles in Santa Clara Valley (Cupertino) Apple Footer Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (Opens in a new window) . Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) . Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area. Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (Opens in a new window) . Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policyLearn more (Opens in a new window) . Apple Careers at Apple Careers at Apple Shop and Learn Mac iPad iPhone Watch TV Music AirPods HomePod iPod touch AirTag Accessories Gift Cards Services Apple Music Apple TV+ Apple Fitness+ Apple News+ Apple Arcade iCloud Apple One Apple Card Apple Books App Store Account Manage Your Apple ID Apple Store Account iCloud.com Apple Store Find a Store Shop Online Genius Bar Today at Apple Apple Camp Apple Store App Refurbished and Clearance Financing Apple Trade In Order Status Shopping Help For Business Apple and Business Shop for Business For Education Apple and Education Shop for K-12 Shop for College For Healthcare Apple in Healthcare Health on Apple Watch Health Records on iPhone For Government Shop for Government Shop for Veterans and Military Apple Values Accessibility Education Environment Inclusion and Diversity Privacy Racial Equity and Justice Supplier Responsibility About Apple Newsroom Apple Leadership Career Opportunities Investors Ethics & Compliance Events Contact Apple More ways to shop: Find an Apple Store or other retailer near you. Or call 1-800-MY-APPLE. United States Copyright © 2021 Apple Inc. All rights reserved. Privacy PolicyTerms of UseSales and RefundsLegalSite Map
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