Job summary
Job post source
This job is directly from Oculus VR (Meta)
Job overview
The Robotics Research Engineer at Oculus VR's Reality Labs Research works on integrating robotic systems and machine learning to develop and deploy control policies on robotic embodiments, contributing to advanced robotics research and development.
Responsibilities and impact
The role involves defining and implementing data collection protocols, building and maintaining prototype software and hardware systems, developing data pipelines for ML training, and testing ML models and control policies on robotic systems to evaluate Sim2Real gaps.
Compensation and benefits
The position offers a salary range from $56.25/hour to $173,000/year plus bonus, equity, and benefits including health insurance and retirement plans, with compensation based on skills, qualifications, experience, and location.
Experience and skills
Candidates must have a Bachelor's degree or equivalent experience, 2+ years in robotics research or industry, 3+ years coding in Python with deep learning frameworks, experience with ROS or similar frameworks, and hardware-software system debugging; preferred qualifications include advanced degrees and expertise in dexterous manipulation, ML/CV techniques, and data pipeline design.
Career development
The job offers opportunities to work with cutting-edge technology and interdisciplinary teams, fostering growth in robotics, machine learning, and systems integration within a leading tech company.
Work environment and culture
Meta values diversity and inclusion, providing reasonable accommodations for disabilities, and promotes a collaborative, innovative environment focused on immersive technology development.
Company information
Meta, formerly Facebook, is a leader in social technology, advancing from social media to immersive experiences like AR and VR, with major products including Facebook, Messenger, Instagram, and WhatsApp.
Team overview
The candidate will join a broad, interdisciplinary team of researchers, engineers, and designers working on robotics and wearable sensing systems within Reality Labs Research.
Unique job features
The role uniquely combines robotics, machine learning, and human wearable sensing technologies with access to advanced testing facilities and resources at Meta.
Company overview
Oculus VR, a subsidiary of Meta Platforms (formerly Facebook, Inc.), specializes in virtual reality hardware and software products. Founded in 2012 by Palmer Luckey, Oculus revolutionized the VR industry with its Oculus Rift headset, funded initially through a highly successful Kickstarter campaign. The company generates revenue through the sale of VR headsets like the Oculus Quest series, software, and content distribution via the Oculus Store. Oculus VR plays a pivotal role in Meta's broader strategy to develop the metaverse, an interconnected virtual world.
How to land this job
Tailor your resume to emphasize your experience in robotics systems integration, software engineering, and machine learning, highlighting your proficiency with Python, deep learning frameworks like PyTorch, and robotics frameworks such as ROS to align with Oculus VR's Reality Labs Research requirements.
Focus on showcasing your skills in developing and deploying control policies on robotic systems, building and maintaining prototype hardware/software, and designing data collection protocols, as these are key responsibilities for the role.
Apply through multiple channels including the Oculus VR corporate careers site, Meta's job portal, and LinkedIn to maximize your application's visibility and chances of being noticed.
Connect with engineers and researchers in Reality Labs Research at Oculus VR on LinkedIn; start conversations by commenting on recent projects they've shared or by asking about their experiences working on robotic manipulation or ML model deployment within the team.
Optimize your resume for ATS by incorporating keywords from the job description such as 'robotic systems integration,' 'machine learning,' 'ROS,' 'Python,' 'data collection protocols,' and 'control policies' to ensure your application passes automated screenings.
Use Jennie Johnson's Power Apply feature to automate applying across multiple platforms, tailor your resume with relevant keywords, and identify LinkedIn contacts in Reality Labs Research to network effectively, allowing you to focus more on preparing for interviews and skill-building.
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