Research scientist at Facebook App Redmond, WA

Payfuture Technologies; Redmond (WA); On-site; USD 85,374 - 135,415; Full time

Benefits offered by this job

Benefits

Equal Opportunity Employment

Job summary

Payfuture Technologies is seeking a Research Scientist Intern to join their Meta Reality Labs team in Redmond, WA. This internship involves developing AI algorithms using data from wearable devices to analyze human behavior and emotions.

Candidates should be pursuing a PhD in Computer Science or related fields, with experience in Python and deep learning frameworks. The role comes with a salary between $7,650 and $12,134 per month along with benefits.

Qualifications

• Currently enrolled in or obtaining a PhD in relevant fields.
• Experience in quantitative analytical problem solving.
• Ability to work with high-volume natural language data.

Responsibilities

• Use data from wearable devices for AI algorithms.
• Develop collection strategies and performance metrics.
• Collaborate across disciplines in project development.
• Contribute to Meta products and publish research results.

Skills

Programming experience in Python

Deep learning frameworks (PyTorch)

Analytical problem solving

Interdisciplinary collaboration

Machine learning optimization

Natural language data analysis

Education

PhD in Computer Science or related field

Tools

Generative AI frameworks

Job description

Research Scientist Internship - Meta Reality Labs (Redmond, WA)

Summary: Meta Reality Labs (Redmond, WA) is looking for exceptional interns to solve complex challenges in behavioral inference from sparse information. Our world‑class team of researchers on the ACE team within RL‑R leverages multimodal, egocentric data and cutting‑edge machine learning to deliver robust, efficient models that serve everyone. Our research provides core building blocks to unlock comfortable, intuitive, and helpful Wearable AI, empowering everyone to harness the superpowers of this emerging technology in their daily lives. We welcome PhD students in computer science, machine learning, robotics, or related fields. In particular, we are looking for candidates with experience in multimodal inference of complex systems, often with limited or ambiguous ground truth. We welcome students with a passion for working in a strongly collaborative team that spans research across human behavior, robust algorithms, and systems prototyping and optimization.

Responsibilities

• Use data from wearable devices to develop novel state‑of‑the‑art AI algorithms to infer human behavior patterns that inform attention, cognition or emotion (e.g., longitudinal gaze behaviors, gestures, or vocal cues).
• Develop data collection strategies, benchmarks, and metrics to validate and improve the efficiency, scalability, and stability of these models.
• Collaborate with researchers and engineers across diverse disciplines through all stages of project development.
• Contribute to research that can eventually be applied to Meta products and services and run on billions of media items every day.
• Maintain regular communication of research agenda, progress, and results.
• Publish research results in top‑tier journals and at leading international conferences.

Minimum Qualifications

• Currently enrolled in or in the process of obtaining a PhD in Computer Science, Machine Learning, Robotics, or a related field.
• Programming experience in Python and with deep learning frameworks such as PyTorch.
• Deep learning experience with modern generative AI frameworks.
• Must obtain and maintain lawful work authorization in the country of employment.

Preferred Qualifications

• Past experience with interdisciplinary, cross‑group, and cross‑culture collaboration.
• Extensive experience solving analytical problems using quantitative approaches.
• Comfortable analyzing high‑volume natural language and multimodal data from varying sources.
• Experience optimizing machine learning algorithms with limited data and on constrained hardware.
• Experience communicating complex research in a clear, precise, and actionable manner.
• Proven track record of achieving results as demonstrated by grants, fellowships, patents, and/or first‑authored publications at workshops or top AI conferences (e.g., CVPR, NeurIPS, CHI, ICLR, ACL, EMNLP).
• Intent to return to a degree program after the completion of the internship.

Public Compensation

$7,650/month to $12,134/month + benefits

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].