Job Description
We are looking for a Software Engineer with experience in data infrastructure for ML/CV to join a top research team in Burlingame CA. The ideal candidate will also have experience bringing-up and debugging robot hardware and software, implementing ML/CV infra and models, and collaborating across disciplines.
• Develop data infra, including data loading, preprocessing, synchronization, quality control, dataset clean-up, and featurization
• Build, bring-up, test, and maintain software-hardware systems for human and robot data collections
• Provide engineering support to Research Assistants during data collections
• Design and implement experimental protocols for data collections with humans or robots
• Deliver high-quality source-controlled code with thorough documentation
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
• Bachelor's degree in Computer Science, Computer Engineering, Robotics, relevant technical field, or equivalent practical experience.
• Strong coding ability in Python, PyTorch, and software best practices (code reviews, version control)
• Experience implementing data loading, preprocessing, synchronization, and quality control to enable ML/CV training and evaluation
• Experience bringing-up and debugging prototype/scientific software AND hardware systems (e.g., robotics platforms, multi-camera systems, human sensing systems)
Nice to Have Skills & Experience
• Masters or PhD in Computer Science, Robotics, or a related area
• 2+ years of industry, internship, or research experience in ML/CV
• Experience developing ML training infrastructure and developing ML/CV models
• Research or industry experience in robotics-related fields, using robotics frameworks (e.g., ROS), debugging robot hardware/software systems, and developing robotic policies
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.