Facebook
Research Scientist Intern, Machine Learning for Human-Computer Interaction (PhD)
Facebook, Redmond, Washington, United States, 98052
Summary:
Meta Reality Labs Research is seeking a highly motivated and skilled research intern to join our team in developing cutting-edge technologies for AR glasses and VR headsets. Our mission is to apply machine learning methods to problems in AR/VR input and interaction, with a focus on collaboration with domain experts. As a research intern, you will work on projects that span modeling, human-in-the-loop experimentation, and design of novel sensors and tracking algorithms. You will have access to cutting-edge technology, resources, and testing facilities, and will collaborate with a diverse and interdisciplinary team of researchers and engineers.
Your primary focus will be on developing novel, robust, and sensor processing algorithms for wearables, using techniques such as self-supervised learning, robust decoding of biometric signals, confound mitigations, and sensor-fusion techniques. Your work will be at the intersection of signal processing, machine learning, and human-computer interaction, and you will have the opportunity to work with world-leading collaborators and mentors in these fields.
Work with researchers to help enable their work across the following research disciplines:
Machine Learning for Human-Computer Action
AI Machine Learning
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.
Required Skills:
Research Scientist Intern, Machine Learning for Human-Computer Interaction (PhD) Responsibilities:
Plan and execute cutting-edge research and design of novel adaptive algorithms for various 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.
Advance the state of the art (SOTA) in sample-efficient modeling for understanding human cognition and action writ large.
Use SOTA models to deliver advances in downstream experiments or demos – it has to work in real life.
Successful internships may also lead to publishable outcomes in top-tier journals or at leading international conferences.
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 field.
3+ years of experience with scientific programming languages such as Python or Matlab or similar.
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.
Interpersonal skills: cross-group collaboration and cross-culture collaboration. Be able to clearly articulate ideas and goals.
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
Preferred Qualifications:
Familiarity with AR/VR technologies and literature.
Experience with biometric or biosignal modeling for real-time interactive scenarios (e.g., gesture recognition, task inference).
Experience with machine learning and related frameworks, such as sklearn or Pytorch.
Experience working directly with domain experts in non-ML fields, for example mechanical engineers or designers, neuroscientists, physicists, etc.
Experience writing research software used by others, for example as part of an academic collaboration, an open-source project, or equivalent.
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 CVPR, ICML, NeurIPS, SIGGRAPH, Society for Neuroscience, or similar.
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.
Public Compensation:
$7,800/month to $11,293/month + 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.
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
accommodations-ext@fb.com .
#J-18808-Ljbffr
Meta Reality Labs Research is seeking a highly motivated and skilled research intern to join our team in developing cutting-edge technologies for AR glasses and VR headsets. Our mission is to apply machine learning methods to problems in AR/VR input and interaction, with a focus on collaboration with domain experts. As a research intern, you will work on projects that span modeling, human-in-the-loop experimentation, and design of novel sensors and tracking algorithms. You will have access to cutting-edge technology, resources, and testing facilities, and will collaborate with a diverse and interdisciplinary team of researchers and engineers.
Your primary focus will be on developing novel, robust, and sensor processing algorithms for wearables, using techniques such as self-supervised learning, robust decoding of biometric signals, confound mitigations, and sensor-fusion techniques. Your work will be at the intersection of signal processing, machine learning, and human-computer interaction, and you will have the opportunity to work with world-leading collaborators and mentors in these fields.
Work with researchers to help enable their work across the following research disciplines:
Machine Learning for Human-Computer Action
AI Machine Learning
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.
Required Skills:
Research Scientist Intern, Machine Learning for Human-Computer Interaction (PhD) Responsibilities:
Plan and execute cutting-edge research and design of novel adaptive algorithms for various 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.
Advance the state of the art (SOTA) in sample-efficient modeling for understanding human cognition and action writ large.
Use SOTA models to deliver advances in downstream experiments or demos – it has to work in real life.
Successful internships may also lead to publishable outcomes in top-tier journals or at leading international conferences.
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 field.
3+ years of experience with scientific programming languages such as Python or Matlab or similar.
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.
Interpersonal skills: cross-group collaboration and cross-culture collaboration. Be able to clearly articulate ideas and goals.
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
Preferred Qualifications:
Familiarity with AR/VR technologies and literature.
Experience with biometric or biosignal modeling for real-time interactive scenarios (e.g., gesture recognition, task inference).
Experience with machine learning and related frameworks, such as sklearn or Pytorch.
Experience working directly with domain experts in non-ML fields, for example mechanical engineers or designers, neuroscientists, physicists, etc.
Experience writing research software used by others, for example as part of an academic collaboration, an open-source project, or equivalent.
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 CVPR, ICML, NeurIPS, SIGGRAPH, Society for Neuroscience, or similar.
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.
Public Compensation:
$7,800/month to $11,293/month + 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.
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
accommodations-ext@fb.com .
#J-18808-Ljbffr