Research Engineer, Wearables AI

Lensa; Burlingame (CA); On-site; USD 124,000 - 208,000; Full time

Job summary

Lensa is partnering with Meta to find a Research Engineer focused on enhancing AI/ML models for wearable devices. This pivotal role involves developing innovative solutions for gesture recognition and embedding AI into products, requiring a proficiency in embedded systems and AI technologies.

Qualifications

• Bachelor's degree in a technical field or equivalent experience.
• Experience in AI/ML and Embedded Systems.
• Proficient in programming languages like Python and C++.

Responsibilities

• Lead the design, development, and optimization of AI models.
• Research and develop Deep Learning models.
• Collaborate with teams to integrate AI/ML models.

Skills

AI/ML

Programming in Python

Embedded Systems

Education

Bachelor's degree in Computer Science

PhD in Computer Science or related field

Job description

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Summary

Reality Labs at Meta is seeking Research Engineers to develop and enhance on-device AI/ML models for our Wearables devices. This role is pivotal in advancing our capabilities in interpreting and processing biomedical signals for gesture recognition, contributing to innovative solutions in human-computer interaction.

Required Skills

Research Engineer, Wearables AI Responsibilities:

• Lead the design, development, and optimization of on-device AI models for gesture recognition.
• Adapt standard machine learning methods to best leverage embedded systems (e.g. CPU, HTP, NPU, etc.).
• Research and develop Deep Learning models under hardware constraints.
• Explore and adopt new model optimization and quantization techniques.
• Stay updated with the latest advancements in Embedded AI, particularly in on-device modeling and signal processing.
• Collaborate with cross-functional teams to integrate AI/ML model into broader product offerings.
• Set technical direction for research projects.
  
  

Minimum Qualifications

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Industry experience in AI/ML and Embedded Systems, with a focus on on-device models.
• Programming experience in Python, C++, or similar.
  
  

Preferred Qualifications

Preferred Qualifications:

• PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
• Experience with memory optimization, quantization, and/or sparsity.
• Exposure to embedded systems, microcontrollers, edge AI or IoT applications and signal processing.
• First-author publications in machine learning, signal processing, electrical engineering, computer science, computational neuroscience, statistics, physics, or related fields.
  
  

Public Compensation

$70.67/hour to $208,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].

If you have questions about this posting, please contact [e-mail]

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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