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 Computer Vision Engineer to research and deploy new methods for generating deep contextual insights from video data. The causal risk factors that you develop will prevent millions 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

Develop and implement state-of-the-art computer vision algorithms for object detection, tracking, and action recognition using PyTorch
Research the latest advancements in computer vision and machine learning, adapting promising techniques to our specific use cases
Perform data analysis and feature engineering to enhance model performance and accuracy
Collaborate with the data collection team to define requirements and improve data quality for training and validation
Optimize models for real-time performance and deploy them in production environments
Develop metrics and conduct thorough evaluations to measure model performance and impact on workplace safety

Required Experience

Master’s or PhD in Computer Science, Computer Engineering, or related field
Proven track record in developing and deploying computer vision models in production environments
Extensive experience with PyTorch and computer vision libraries
Strong programming skills in Python and C++
Solid understanding of machine learning principles and their application to real-world problems
Excellent problem-solving skills and attention to detail
Strong communication skills and ability to work in a collaborative, fast-paced environment

Nice-to-have

Experience in Linux environment and competence in selecting appropriate hardware for running ML models with desired latency.
Experience in data science and methods of ML Ops.

What Sets This Role Apart

You'll be at the forefront of AI-driven workplace safety, using our proprietary computer vision solutions to analyze risks and drive meaningful change in workplace safety. Additionally, as a fully remote workplace, CompScience allows all employees to work from home five days/week.

Working at CompScience

Compensation: CompScience is committed to fair and equitable compensation practices. The annual salary range for this role is $148,000 – $210,000. 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

Compensation Range: $148K - $210K

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