Research Scientist IV - Deep Learning

Burlingame, CA 94010

Posted: 07/09/2024 Job Number: 39427

Job Description

Research Scientist IV - Deep Learning


At our company, our 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.

  • 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-time
  • Collaborating 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

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)

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)


Pay range is $71 - $76 per hour with full benefits available, including paid time off, medical/dental/vision/life insurance, 401K, parental leave, and more. Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.


At Crystal Equation, we empower people and advance technology initiatives by building trust.  Your recruiter will prep you for the interview, obtain feedback, guide you through any necessary paperwork and provide everything you need for a successful start.  We will serve to empower you along the way and provide the path for your professional journey.

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About Burlingame, CA

Discover exciting job opportunities in the vibrant Burlingame, California area today! Located in the heart of the beautiful San Francisco Bay Area, Burlingame offers a perfect blend of urban amenities and natural beauty. With its close proximity to the iconic Golden Gate Bridge and world-renowned attractions like Fisherman's Wharf and Alcatraz Island, this region provides endless opportunities for professional growth and personal enrichment. Immerse yourself in the local culture by exploring the unique art galleries, theaters, and diverse cuisine options. Whether you enjoy cheering for the San Francisco Giants at Oracle Park or soaking up the sun at Coyote Point Recreation Area, Burlingame has something for everyone. Take the first step towards an exciting career in this enchanting location – browse our job listings now!