Software Engineer - Comp. Vision & Data Engr.

Rank One Computing Corporation•Denver, CO

9h•Hybrid

About The Position

We are seeking a software engineer for a unique job opportunity supporting machine learning research scientists as they develop new computer vision algorithms. Please note that this position is strictly data engineering and will not include directly training or building machine learning models. In this role you will slowly gain expert knowledge in data development to support the creation of artificial intelligence (computer vision and machine learning) algorithms. This role may at times require travel through the significant majority of work performed in the Denver area. This is an exceptional opportunity for individuals eager to contribute to a cutting-edge computer vision and machine learning company where you will collaborate with a team of experts to support state-of-the-art products that serve a wide range of industries. ROC believes in a healthy work / life balance, and pays particular attention to employee needs and wellbeing. ROC provides employees with unlimited PTO, a flexible work schedule, and a hybrid work environment. Employees are dedicated and hardworking, but are encouraged to take time off to rest, reset, and focus on family and personal health. Compensation for this role includes a competitive salary with opportunities for growth, performance bonuses, generous stock options, health insurance coverage, and contributions to 401k.

Requirements

Strong interpersonal communication
Excellent organization skills working in a fast-paced startup environment
Past experience leading small project teams
Task oriented, problem solver
B.S. or greater; ideally in Computer Science but sufficient experience and training in software engineering will be considered as well for this position
3 to 7 years engineering experience

Nice To Haves

Software Languages: Python, SQL, JavaScript, HTML/CSS, C/C++
Experience in large-scale data management using relational DB’s, cloud storage, and local storage
Experience with building data pipelines (ETL)
Experience with key DevOps principles such as containerization, CI/CD pipelines, observability through logging and alerts, infrastructure-as-code, and automation
Understanding of computer vision, statistical pattern recognition, and machine learning algorithms