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Research Scientist
2 months ago
Job Details:
Title: Research Scientist IV
Duration: 12 months contract
Location: Burlingame, CA
Pay Rate: $75 to $84/hr on W2 (Without benefits)
Summary:
We are seeking a highly skilled and motivated Software/ML Engineer to join human-computer interaction (HCI) team. The successful candidate will have experience in prototyping, debugging, and integrating specialty hardware and software to run experiments. The ideal candidate will have experience working as part of small multidisciplinary teams (e.g., startups) building necessary pipelines and infrastructure for collecting CV and time series datasets, performing quality control, preprocessing and modeling. Additionally, they would have experience implementing and debugging machine learning methods
Minimum qualifications:
- MS with 3+ years of experience in Computer Science, Electrical Engineering, Robotics, Statistics, Machine/Deep Learning, or a related area
- Proficiency in Python, PyTorch, JavaScript, and software best practices (code reviews, version control)
- Experience integrating, bringing-up, and debugging prototype hardware, firmware/drivers, and frontend/backend software to create full-stack software-hardware systems
- Experience implementing Deep Learning pipelines and deploying models
Responsibilities
- Leading data collection efforts with both established and prototype hardware, including device bring up, developing and testing of the user study frontend and backend software, and end to end integration testing
- Providing support to Research Assistants during data collection campaigns
- Performing data quality control, dataset clean up, preprocessing and featurization
- Collaborating with other research engineers and scientists on building software platforms for data analysis and real-time human-system interactions
- Developing robust benchmarking workflows and pipelines for offline and online model performance evaluation
- Developing online learning algorithms to improve model accuracy in real-time
- Developing, applying, and tuning state-of-the-art deep learning algorithms to train and evaluate models
- Regularly reporting on project status, delivering high-quality code with thorough documentation, and effectively communicating updates through presentations and written reports
Preferred qualifications
- PhD in Computer Science, Electrical Engineering, Robotics, Statistics, Machine Learning, or a related area
- Experience with online and offline signal processing of biological time series data and sensor-fusion techniques
- Experience with applying state-of-the-art self-supervised learning algorithms to train and evaluate encoder-decoder models
- Familiarity with AR/VR and ML/CV 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)
About US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit .
US Tech Solutions is an Equal Opportunity Employer.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity,
national origin, disability, or status as a protected veteran.
Recruiter Details:
Name: Shalini L
Email: Shalini@UStechsolutionsinc.com
Internal ID: 24-20179
