Research Engineer - On-Device Contextual AI
Meta
Research Engineer - On-Device Contextual AI
Job Description
In this role, you will adapt and deploy advanced real-time smart glasses algorithms on custom embedded computer vision/machine learning processors. You will then make them available to an extensive internal and external user community.
Locations
- Sunnyvale, CA, USA
- Redmond, WA, USA
Salary
Estimated Salary Rangemedium confidence
15,000,000 - 45,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- adapting algorithmsintermediate
- deploying algorithmsintermediate
- real-time algorithmsintermediate
- smart glassesintermediate
- embedded systemsintermediate
- computer visionintermediate
- machine learningintermediate
- processorsintermediate
- user community engagementintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Master's degree in Computer Engineering, Computer Science, or Electrical Engineering and Computer Sciences or equivalent practical experience 5+ years of experience working in large scale C++ and Python code base 4+ years of experience in developing and prototyping machine perception Experience in implementing computer vision algorithms for efficient execution on embedded systems Demonstrated examples of delivering an end-to-end system rather than a single component Experience developing, debugging, and shipping software products on large code bases that span platforms and tools Experience with low-level programming (DSPs, MCUs, etc) and mobile accelerators Experience with device to cloud low latency applications Experience with cloud edge computing Experience in zero-to-one blank slate projects Doctor of Philosophy (Ph.D.) in Computer Engineering, Computer Science, or Electrical Engineering and Computer Sciences or equivalent practical experience (experience, 5 years)
Responsibilities
- Plan and execute engineering development to advance the state-of-the-art in machine perception research for Contextual Al, both on-device and on back-end Collaborate closely with researchers, engineers, and product managers across multiple teams at Meta to design, architect and implement prototypes Debug complex, system-level, multi-component issues that typically span across multiple layers from sensor to application Lead major initiatives, projects, rollouts and phased releases
Tags & Categories
Research Engineer - On-Device Contextual AI
Meta
Research Engineer - On-Device Contextual AI
Job Description
In this role, you will adapt and deploy advanced real-time smart glasses algorithms on custom embedded computer vision/machine learning processors. You will then make them available to an extensive internal and external user community.
Locations
- Sunnyvale, CA, USA
- Redmond, WA, USA
Salary
Estimated Salary Rangemedium confidence
15,000,000 - 45,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- adapting algorithmsintermediate
- deploying algorithmsintermediate
- real-time algorithmsintermediate
- smart glassesintermediate
- embedded systemsintermediate
- computer visionintermediate
- machine learningintermediate
- processorsintermediate
- user community engagementintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Master's degree in Computer Engineering, Computer Science, or Electrical Engineering and Computer Sciences or equivalent practical experience 5+ years of experience working in large scale C++ and Python code base 4+ years of experience in developing and prototyping machine perception Experience in implementing computer vision algorithms for efficient execution on embedded systems Demonstrated examples of delivering an end-to-end system rather than a single component Experience developing, debugging, and shipping software products on large code bases that span platforms and tools Experience with low-level programming (DSPs, MCUs, etc) and mobile accelerators Experience with device to cloud low latency applications Experience with cloud edge computing Experience in zero-to-one blank slate projects Doctor of Philosophy (Ph.D.) in Computer Engineering, Computer Science, or Electrical Engineering and Computer Sciences or equivalent practical experience (experience, 5 years)
Responsibilities
- Plan and execute engineering development to advance the state-of-the-art in machine perception research for Contextual Al, both on-device and on back-end Collaborate closely with researchers, engineers, and product managers across multiple teams at Meta to design, architect and implement prototypes Debug complex, system-level, multi-component issues that typically span across multiple layers from sensor to application Lead major initiatives, projects, rollouts and phased releases
Tags & Categories