Key skills
PythonC++CMachine LearningMLGitHub
About this role
We are creating world-class consumer wearable experiences - as a member of Meta’s Hardware engineering organization, you will play a crucial role in developing novel concepts and technologies for next-generation wearables. You will design, model, optimize, and prototype advanced systems—including optical, camera, sensor, wireless, and system-level solutions—and develop software models to predict and optimize full wearable device performance.
Responsibilities
Pioneer fundamental “0 to 1” research in physical sciences (hardware, systems, materials, processes etc).
* Drive long-term research roadmaps (5–10+ years), establish feasibility of breakthrough technologies, and create initial enablers.
* Conceive, design, and prototype advanced concepts for next-generation Hardware products.
* Develop and optimize hardware, software and/or ML models to predict and enhance performance across multiple HW domains.
* Collaborate with cross-functional teams to advance the entire product pipeline (hardware, software, integration, infrastructure, and applications).
* Architect and integrate complex hardware/software systems.
* Develop and refine algorithms while resolving discrepancies between model predictions and measured performance data across all technology domains.
* Prototype and characterize new technologies across a variety of HW platforms.
* Utilize scientific programming languages for modeling, simulation, algorithm development, and data analysis.
* Analyze experimental and simulation data to inform design decisions and optimize system performance.
* Conduct research in relevant fields and disseminate findings through peer-reviewed publications, conference presentations, and technical reports.
Qualifications
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
* Currently has, or is in the process of obtaining a PhD degree in Computer Science, Electrical Engineering, Mechanical Engineering, Systems Engineering, Optical Sciences, Physics, Wireless Communications, and/or relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
* Experience with modeling and analysis
* C++ or Python programming experience in scientific computing and algorithm development and deployment
* 1+ years experience in developing machine learning models at scale from inception to generating business impact
* Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment Experience in transitioning machine learning-based applications from research to production, particularly in the realm of on-device machine learning
* Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as NeurIPS, CVPR, ICML, ICCV, ACL, ISCA, ISSCC, or similar
* Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward
* Experience working and communicating cross functionally in a team environment
* Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
Responsibilities
Pioneer fundamental “0 to 1” research in physical sciences (hardware, systems, materials, processes etc).
* Drive long-term research roadmaps (5–10+ years), establish feasibility of breakthrough technologies, and create initial enablers.
* Conceive, design, and prototype advanced concepts for next-generation Hardware products.
* Develop and optimize hardware, software and/or ML models to predict and enhance performance across multiple HW domains.
* Collaborate with cross-functional teams to advance the entire product pipeline (hardware, software, integration, infrastructure, and applications).
* Architect and integrate complex hardware/software systems.
* Develop and refine algorithms while resolving discrepancies between model predictions and measured performance data across all technology domains.
* Prototype and characterize new technologies across a variety of HW platforms.
* Utilize scientific programming languages for modeling, simulation, algorithm development, and data analysis.
* Analyze experimental and simulation data to inform design decisions and optimize system performance.
* Conduct research in relevant fields and disseminate findings through peer-reviewed publications, conference presentations, and technical reports.
Qualifications
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
* Currently has, or is in the process of obtaining a PhD degree in Computer Science, Electrical Engineering, Mechanical Engineering, Systems Engineering, Optical Sciences, Physics, Wireless Communications, and/or relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
* Experience with modeling and analysis
* C++ or Python programming experience in scientific computing and algorithm development and deployment
* 1+ years experience in developing machine learning models at scale from inception to generating business impact
* Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment Experience in transitioning machine learning-based applications from research to production, particularly in the realm of on-device machine learning
* Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as NeurIPS, CVPR, ICML, ICCV, ACL, ISCA, ISSCC, or similar
* Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward
* Experience working and communicating cross functionally in a team environment
* Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)