Research Scientist Intern, Neuromotor Interfaces: Computational Modeling (PhD)
Burlingame, CA | New York, NY
Meta
Giving people the power to build community and bring the world closer together
Meta Reality Labs is looking for interns to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. This technology could become one of the main pillars for interaction with the virtual and augmented world. Help us unleash human potential by removing the bottlenecks between user intent and action. In this role you will embed with a world-class, multi-disciplinary team of researchers to investigate the nature of human neuromotor signals (i.e., electromyography or EMG), develop novel signal processing and machine learning methods to infer a user’s intent, and create novel interaction techniques and user experiences. Our internships are twelve (12) to twenty four (24) weeks long, and we have various start dates throughout the year.Research Scientist Intern, Neuromotor Interfaces: Computational Modeling (PhD) Responsibilities
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 benefits at Meta.
- Build cutting-edge machine learning models to advance neuromotor interface capabilities.
- Collaborate with engineering and Human-Computer Interactions (HCI) teams to deploy models that leverage fundamental scientific knowledge into new technology and user experiences.
- Use quantitative research methods to define, iterate upon and advance key areas of our research agenda.
- Currently has, or is in the process of obtaining, a PhD in one or more of the following fields: machine learning, computational neuroscience, speech and language technologies, signal processing, electrical engineering, computer science, statistics, physics, or related fields.
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
- Research-oriented implementation skills, including fluency in scientific Python and PyTorch, as evidenced by academic or professional research experience or contributions to open source projects.
- Experience in machine learning, deep learning, computer vision, probabilistic graphical models and/or natural language processing.
- Experience with scientific communication tools (e.g. jupyter, matplotlib).
- Experience with multi-channel array processing, or related topics.
- Experience in software engineering in industry.
- Experience with real-time signal processing.
- Intent to return to degree program after the completion of the internship.
- Experience working and communicating cross functionally in a team environment
- 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, ICLR, ICASSP, WASPAA, ICML, ASRU
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 benefits at Meta.
Job stats:
1
0
0
Categories:
Data Science Jobs
Research Jobs
Tags: Computer Science Computer Vision Deep Learning Engineering ICLR ICML Jupyter Machine Learning Matplotlib ML models NeurIPS NLP Open Source PhD Physics Python PyTorch Research Statistics VR
Perks/benefits: Career development Conferences Equity / stock options Health care Salary bonus
Region:
North America
Country:
United States
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.
Staff Machine Learning Engineer jobsStaff Data Scientist jobsBI Developer jobsData Scientist II jobsPrincipal Data Engineer jobsData Manager jobsJunior Data Analyst jobsResearch Scientist jobsSenior AI Engineer jobsData Science Manager jobsBusiness Data Analyst jobsData Engineer III jobsData Science Intern jobsData Specialist jobsLead Data Analyst jobsPrincipal Software Engineer jobsSoftware Engineer II jobsBI Analyst jobsData Analyst II jobsData Analyst Intern jobsSr. Data Scientist jobsSoftware Engineer, Machine Learning jobsAzure Data Engineer jobsJunior Data Engineer jobsSenior Data Scientist, Performance Marketing jobs
Snowflake jobsLinux jobsEconomics jobsOpen Source jobsBanking jobsHadoop jobsRDBMS jobsComputer Vision jobsKafka jobsPhysics jobsData Warehousing jobsGoogle Cloud jobsAirflow jobsJavaScript jobsNoSQL jobsScala jobsStreaming jobsKPIs jobsClassification jobsMLOps jobsData warehouse jobsR&D jobsScikit-learn jobsOracle jobsPostgreSQL jobs
SAS jobsTerraform jobsGitHub jobsPySpark jobsScrum jobsData Mining jobsPandas jobsCX jobsRobotics jobsDistributed Systems jobsIndustrial jobsBigQuery jobsJira jobsRedshift jobsMicroservices jobsPharma jobsLooker jobsUnstructured data jobsJenkins jobsData strategy jobsReact jobsdbt jobsE-commerce jobsNumPy jobsMySQL jobs