Research Engineer, Embedded Contextual AI

AECOM; Redmond (WA); On-site; Full time

Job summary

A leading company in the Internet sector is seeking a Research Engineer to innovate within AI devices. This role involves developing AI models for real-time applications on wearable technology, emphasizing collaboration and advanced problem solving in an interdisciplinary environment. Candidates should hold a relevant degree with experience in AI training and firmware development, contributing to groundbreaking work that shapes the future of human-computer interaction.

Qualifications

• Experience with AI models and deploying in Python.
• Experience with microcontroller firmware development.
• MS degree or equivalent in a related field is preferred.

Responsibilities

• Train and optimize AI models processing video and bio-sensor data.
• Build and maintain software pipelines for wearable devices.
• Collaborate with scientists and engineers on demos and tools.

Skills

AI model training

Real-time data processing

Software pipeline development

Collaboration

Problem solving

Education

Bachelor's degree in Computer Science or relevant field

MS degree in related field (preferred)

Tools

Python

C/C++

Job description

**Summary:**

At Reality Labs Research, we're revolutionizing the way people interact with AI devices. We're seeking a skilled Research Engineer to join our team and help shape the future of human-computer interaction. As a key member of our interdisciplinary team - which includes researchers, designers, and engineers - you will develop AI models that run on our wearable devices in real-time and enable cutting-edge AI user experiences. Join us in bringing science fiction to life and creating game-changing technology that redefines the boundaries of what's possible.

**Required Skills:**

Research Engineer, Embedded Contextual AI Responsibilities:

1. Train and optimize AI models that process video and bio-sensor data in real-time

2. Build and maintain software pipelines that quantize, lower, and deploy AI models on wearable edge devices, including smart glasses and watches

3. Partner closely with other scientists and engineers to develop compelling live demos, reusable components, and robust tools that advance the state-of-the-art in how humans use AI systems

4. Embrace the ambiguity of problem solving in a collaborative research environment: learn constantly, educate others, dive into new technical areas and unfamiliar technologies

**Minimum Qualifications:**

Minimum Qualifications:

5. 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

6. 1+ years of experience training, deploying, and testing AI models in python

7. 1+ years of experience developing firmware for microcontrollers in C/C++

**Preferred Qualifications:**

Preferred Qualifications:

8. MS degree or equivalent experience in computer science, human-computer interaction, electrical engineering, bioinformatics, robotics or related field

9. Experience deploying models on accelerators such as Ethos-U55

10. Experience with human-computer-interaction

11. Experience with the research process (e.g., having participated on an academic publication)

**Public Compensation:**

$56.25/hour to $173,000/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].