Crystal Equation
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Research Scientist IV - Deep Learning
Onsite
Summary:
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.
Responsibilities:
Minimum Qualifications:
Preferred Qualifications:
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.
THE PROMISES WE MAKE:
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.
For more information regarding our Privacy Policy, please visit crystalequation.com/privacy.
Research Scientist IV - Deep Learning
311 Airport Blvd Burlingame, CA 94010 US
Posted: 08/29/2024
2024-08-29
2024-10-15
Job Number: 39633
Job Description
Research Scientist IV - Deep Learning
Onsite
Summary:
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.
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-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.
THE PROMISES WE MAKE:
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.
For more information regarding our Privacy Policy, please visit crystalequation.com/privacy.
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