University of Washington · 1 day ago
Research Scientist/Engineer 3
Seattle, WA
Full-time
Hybrid
Mid Level
$80K/yr - $97K/yr
4+ years expThe University of Washington is seeking a Research Scientist/Engineer 3 to support the Bowen laboratory in developing computational pipelines for analyzing large-scale mouse behavior video data. The role involves method development, behavioral representation learning, and collaboration with domain experts to enhance scientific discovery.
EducationHigher EducationUniversities
Responsibilities
Develop and validate canonical 3D posture estimation frameworks using core multi-view, ground-truth datasets, including methods for calibration, triangulation, and uncertainty quantification
Design and implement a robust translation layer that generalizes these 3D posture models to large-scale 2D video datasets, enabling reliable inference across diverse recording conditions, camera configurations, and experimental paradigms
Evaluate model performance across datasets and conditions, and iteratively refine algorithms to ensure scalability, reproducibility, and biological interpretability
Build canonical behavioral embeddings that capture posture dynamics and action structure using modern representational learning approaches
Apply temporal modeling techniques to learn multiscale behavioral sequences and transitions. Establish a shared latent behavioral space that enables alignment and joint analysis of behavior with neural recordings and physiological signals
Collaborate with domain experts to ensure learned representations are interpretable, biologically meaningful, and suitable for downstream scientific discovery
Contribute to the building and maintenance of an end-to-end, production-grade pipeline encompassing scalable video preprocessing, model training, and inference workflows
Implement GPU-accelerated training and inference, standardized evaluation protocols, and performance monitoring
Manage versioned datasets and models, ensuring reproducibility, traceability, and compatibility with evolving methods. Produce clear documentation, APIs, and interfaces to support downstream analysis modules and facilitate reuse by collaborators
Serve as a primary technical point of contact for internal and external collaborators
Advise collaborators on data formatting standards, behavioral annotation and sequencing, and integration pathways into the canonical pipeline
Coordinate closely with lab members working on neural and physiological data integration, ensuring alignment between behavioral representations and experimental constraints
Contribute to strategic planning by identifying technical risks, dependencies, and opportunities for methodological innovation
Qualification
Required
Bachelor's degree in Computer Science, Electrical Engineering, Applied Mathematics, Statistics, or a related field and four years of relevant experience in Machine Learning/Computer Vision/software engineering
Demonstrated experience developing and/or implementing machine learning models in Python with PyTorch (or equivalent deep learning framework)
Experience with computer vision workflows (e.g., pose estimation, segmentation, tracking, multi-view geometry, 3D vision)
Strong software engineering fundamentals: version control, code review, testing, documentation, and reproducible experiments
Preferred
Ability to communicate technical concepts clearly and collaborate in an interdisciplinary research environment
Experience with 3D reconstruction pipelines and/or mesh-based representations
Experience scaling model training/inference on GPUs; familiarity with CUDA-adjacent performance considerations, distributed training, or workflow orchestration
Benefits
For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/
Company
University of Washington
University of Washington is an educational institution that provides undergraduate, graduate, and research programs.
10001+ employees
H1B Sponsorship
University of Washington has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (249)
2024 (211)
2023 (159)
2022 (171)
2021 (169)
2020 (154)
Funding
Current Stage
Late StageTotal Funding
$215.35MKey Investors
Avista foundationNational Institute of Allergy and Infectious DiseasesAdvanced Research Projects Agency for Health
2026-01-18Grant· $10M
2025-04-21Grant· $0.01M
2024-09-13Grant
Leadership Team
Andrew S Allen
Adjunct Professor
Arthur Denny
Founder
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