Research Scientist Intern, Multimodal AI for Human-Computer Interaction (PhD)

Meta Platforms, Inc.•Redmond, WA

34d

About The Position

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. Our mission is to apply cutting-edge machine learning and AI 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, sensor processing algorithms for wearables, using techniques such as self-supervised learning, robust decoding of biometric signals, multi-modal sensor-fusion and LLM finetuning 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-class researchers, collaborators and mentors in these fields. Candidates will work with researchers to help enable the following research disciplines: -Multi-modal AI for contextual understanding -Multi-modal AI for human computer interaction This position has a preference of sixteen (16) consecutive weeks up to twenty-four (24) weeks long and we have various start dates throughout the year.

Requirements

Currently has, or is in the process of obtaining, a PhD in Computer Science, Electrical or Computer Engineering, Robotics, or relevant technical field
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
3+ years of experience with scientific programming languages such as Python or C++
Experience with online and offline signal processing of biological time series data and sensor-fusion techniques
Research experience involving defining problems, exploring solutions, and analyzing and presenting results

Nice To Haves

Two or more first-authored publications in top ML or HCI conferences/journals
Familiarity with AR/VR technologies and literature
Experience with biometric or biosignal modeling for real-time interactive scenarios (e.g., gesture recognition, action recognition)
Experience with machine learning and related frameworks, such as sklearn or Pytorch
At least one publication focused primarily on modeling
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, ICLR, KDD, CHI, UIST or similar
Experience working and communicating cross functionally in a team environment
Intent to return to a degree program after the completion of the internship/co-op
Availability for minimum 16 consecutive week internship

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 to develop 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.

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