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Research Scientist Intern, Algorithms (PhD)

Research Scientist Intern, Algorithms (PhD)

1 Month ago • 3 Years + • Research & Development

About the job

6 skills required for this role

Add these skills to join the top 1% applicants for this job

unity

algorithms

supervised-learning

python

pytorch

matlab

Job Description

Reality Labs seeks a Research Scientist Intern (PhD) to develop novel, robust algorithms for wearable biometric decoding in augmented reality. Responsibilities include designing adaptive algorithms for various sensory models, implementing signal processing and machine learning techniques (self-supervised learning, sensor fusion), troubleshooting software, collaborating with researchers, and presenting results. The internship focuses on improving the seamlessness of AR experiences by enhancing the decoding of wrist-worn biometric data. The ideal candidate possesses strong signal processing, machine learning, and research skills and experience with relevant programming languages and frameworks.

Must have:

PhD in relevant field
3+ years experience with Python/Matlab
Machine learning experience (sklearn, Pytorch)
Signal processing & sensor fusion expertise
Strong research & presentation skills

Good to have:

AR/VR experience
State estimation & self-supervised learning
Biometric modeling for real-time interactions
Publications at top conferences (NeurIPS, ICML, etc.)
Experience with real-world algorithm deployment

At Reality Labs, our goal is to invent the user interface technologies that will drive the next generation of augmented-reality experiences. Our aim is to unleash human potential by erasing the bottlenecks between intent and action. The key to this work is in the development of robust, adaptive algorithms and systems that can seamlessly power the decoding of wearable biometrics. As a Research Intern, you will focus on developing novel, robust, and sensor processing algorithms for wrist-wearables. Your work will involve novel techniques around self-supervised learning, robust decoding of biometric signals, confounder mitigations, and state-estimation/sensor-fusion techniques for stringing the entire system together. Our research lies at the intersection of signal processing, machine learning, and human-computer interaction. You will work with world-leading collaborators and mentors in the AR/VR, machine learning, neuroscience, and HCI fields. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. Some projects may require a minimum of 16 consecutive weeks.

Research Scientist Intern, Algorithms (PhD) Responsibilities

Plan and execute cutting-edge research and design of novel adaptive algorithms for a variety of different sensory models.

Implement signal processing, classification, fusion, and confounder mitigation algorithms and systems that are robust, efficient, easily tunable, and yield seamless interactions.

Troubleshoot, debug and upgrade existing software, contribute to code documentation and maintenance of the analysis pipeline.

Collaborate with the larger research team, present and share results with key stakeholders.

Minimum Qualifications

Currently has, or is in the process of obtaining, a PhD in computer science, electrical or computer engineering, machine learning, state-estimation, robotics, or relevant technical fields.

3+ years of experience with scientific programming languages such as Python or Matlab or similar.

Experience with experience with machine learning and related frameworks, such as sklearn or Pytorch.

Experience with online and offline signal processing of biological time series data and sensor-fusion techniques.

Excellent research skills involving defining problems, exploring solutions, and analyzing and presenting results.

Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.

Interpersonal skills: cross-group collaboration and cross-culture collaboration. Be able to clearly articulate ideas and goals.

Preferred Qualifications

Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, UIST, CHI.

Familiarity with AR/VR technologies and literature.

Experience with state estimation and self-supervised learning.

Experience with biometric modeling for real-time interactive scenarios (e.g., gesture recognition, task inference).

Proven track record in the design of novel and fieldable algorithms that have been deployed in the real-world.

Experience working and communicating cross functionally in a team environment.

Intent to return to degree-program after the completion of the internship/co-op.

Availability for minimum 16 consecutive week internship.

For those who live in or expect to work from California if hired for this position, please click for additional information.

Locations

Data Center

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

$7,800/month to $11,293/month + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about at Meta.

Equal Employment Opportunity and Affirmative Action

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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice .

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to .

View Full Job Description

$93.6K - $135.5K/yr (Outscal est.)

$114.6K/yr avg.

Burlingame, California, United States

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