Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.
For this client, the goal is to explore, innovate and design novel interfaces and hardware subsystems for the next generation of virtual, augmented, and mixed reality experiences. We are looking for a skilled and motivated Deep Learning Research Engineer, to develop and apply state-of-the-art self-supervised learning techniques for wristband/hand-based inputs.
The ideal candidate would have a signal processing background with experience in both CV and time series data preprocessing and modeling. More broadly, the chosen candidate will work with a diverse and highly interdisciplinary team of researchers and engineers and will have access to cutting edge technology, resources, and testing facilities.
Minimum qualifications:
PhD with 3+ years (or MS with 5+ years) of experience in Deep Learning, Robotics, Statistics, Computer Science, Signal Processing, or a related area
Proven track record of implementing Deep Learning pipelines and deploying models
Proficiency in Python, PyTorch, and software best practices (code reviews, version control)
Proven track record of achieving significant results (patents, shipped products, publications at leading AI conferences like NeurIPS, ICLR, and CVPR)
Responsibilities
Data quality control, clean up, preprocessing and featurization
Developing and applying state-of-the-art self-supervised learning algorithms to train and evaluate models
Developing robust benchmarking workflows and pipelines for offline and online model performance evaluation
Developing online learning algorithms that improve model accuracy in real-timeCollaborating with research engineers and scientists on software platforms for data analysis and real-time human-system interactions
Regularly reporting on project status, delivering high-quality code with thorough documentation, and effectively communicating updates through presentations and written reports
Preferred Qualifications
Experience with online and offline signal processing of biological time series data and sensor-fusion techniques
Familiarity with AR/VR technologies and literature
Experience with multi-task learning, few-shot learning, semi-supervised learning
Experience applying machine learning or other signal processing techniques to noisy sensor data in real-time, interactive applications (e.g., IMU, cameras, EMG)
Our benefits package includes: (EXCLUDE on perm placements)
Comprehensive medical benefits
Competitive pay
401(k) retirement plan
…and much more!
About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Other
Industries
Entertainment Providers
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