About CompScience
At CompScience, we're not just building software—we're saving lives. We're a high-growth startup on a mission to prevent 10 million workplace injuries through bold technological innovations, ensuring that everyone can go home safe at the end of the day.
Founded in 2019 and backed by investors from SpaceX, Tesla, and Anduril, we've assembled a powerhouse team that bridges two worlds:
Cutting-Edge Technology: Our engineering team is comprised of distinguished computer vision engineers, software architects, and data scientists from the self-driving car industry. They bring unparalleled expertise in AI and machine learning to the realm of workplace safety.
Insurance Acumen: Our insurance team comprises seasoned professionals who understand the nuances of workers' compensation policies. They work hand-in-hand with our tech experts to translate advanced analytics into tangible insurance products that truly serve our clients' needs.
Our groundbreaking perception-based risk assessment program, the first of its kind, provides the most comprehensive data stream available for risk analysis and monitoring and has proven to significantly reduce accidents in some of the world's most hazardous occupations.
About the Role
We are looking for an outstanding Lead Computer Vision Engineer to lead a team of computer vision engineers tasked with research, development and deployment of new methods for generating deep contextual risk assessment insights from video data. These insights will prevent thousands of people from getting hurt on the job. This is a hands-on position requiring the ability to design, develop, and implement solutions individually and with a team.
Responsibilities
Design and develop machine learning (ML) and deep learning (DL) systems for video data analytics.
Lead the development and deployment of computer vision (CV) algorithms for object and activity detection.
Fine-tune and implement large language models (LLMs) to detect risk behaviors and patterns.
Oversee the system design and development for testing and validating CV algorithms.
Run ML experiments, evaluate algorithms, and optimize performance metrics to align with business objectives.
Schedule and review tasks for junior engineers, providing mentorship and fostering professional growth.
Create and manage a roadmap for CV projects, ensuring timely delivery and alignment with company goals.
Take accountability for developing CV detectors, improving their performance, and integrating them into production systems.
Drive architecture decisions and ensure effective deployment of CV solutions in production environments.
Required Experience
Master’s or PhD in Computer Science, Computer Engineering, or related field
12+ years of experience with Computer Vision tasks such as pose detection, object detection, activity detection, segmentation, localization, and tracking.
Strong programming proficiency in C++ and Python, with experience in libraries like PyTorch, scikit-learn, pandas, YOLO, and OpenCV.
Proven ability to design, train, and implement ML and DL models for real-world applications.
Demonstrated skill in translating academic research into production-grade CV solutions.
Hands-on experience in evaluating and optimizing the performance of CV algorithms to meet business objectives.
Proficiency in releasing algorithms into production, with ownership of architectural decisions.
Experience with CV pipelines, preferably in cloud environments like AWS.
Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
Familiarity with project management tools like Asana or Jira
Nice-to-have
Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
Familiarity with project management tools like Asana or Jira
Working at CompScience
Compensation: CompScience is committed to fair and equitable compensation practices. The annual salary range for this role is $185,000 – $250,000. Compensation is determined within the range based on your qualifications and experience. Our total compensation package also includes equity and comprehensive benefits.
Benefits at CompScience:
Fast-paced startup environment where your ideas can quickly become reality
Opportunity to wear multiple hats and grow beyond your job description
Remote-first culture with home office support
Comprehensive health benefits (Medical, Dental, Vision, HSA)
401(k) plan and life insurance
Flexible time off and 12 weeks parental leave
Professional development reimbursement
Our Ideal Teammate:
Thrives in a fast-paced startup and is comfortable navigating ambiguity
Excited to wear multiple hats and grow rapidly
Committed to our mission of saving lives through technology
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