Senior Software Engineer, Video Analytics

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, construct, and sustain scalable backend systems utilizing Elixir and Python.

• Develop and maintain production systems that incorporate machine learning or computer vision functionalities.

• Create and manage infrastructure for object detection, detection of people or vehicles, cross-camera tracking, and video analytics.

• Collaborate with engineering and product teams to implement ML/CV capabilities into dependable production environments.

• Take ownership of technical decisions, implementation, testing, and deployment as an active individual contributor.

• Address performance, reliability, and scalability issues across backend and ML-enabled systems.

⛳️ Requirements

• Demonstrated experience delivering at least one machine learning or computer vision system into a real-world production setting, whether on edge devices or cloud-based.

• A minimum of 4 years of experience as a hands-on individual contributor backend engineer in a Series A–D startup, as a full-time employee.

• Production-level experience with Elixir or another functional programming language, such as Scala, Haskell, Clojure, OCaml, F#, or Erlang.

• Strong backend development expertise, with the capability to design, build, and maintain production-grade systems.

• Proficient in working independently, tackling complex engineering challenges, and contributing directly to code.

• Must currently reside in the United States.

• Must be a US citizen or Green Card holder; visa-based work authorization is not acceptable.

• Candidates should exhibit real-world production ML/CV deployment, hands-on backend engineering experience at a Series A–D startup, and functional programming proficiency.

• Pure AI researchers, those focused on PhD-level research, LLM-only experience, or candidates primarily engaged in training models from scratch are not a fit.

• Elixir developers lacking demonstrated experience in deploying an ML or computer vision system into production are not suitable.

• Consultants, freelancers, former founders/CTOs, or individuals without the necessary full-time startup employee background are not a match.

• Candidates whose experience predominantly lies in government, defense, or highly regulated sectors are not suitable.

• Candidates hailing from research-intensive autonomous vehicle teams are not aligned.

• Managers and executives who are no longer involved in hands-on engineering are not a fit.

• Production computer vision experience is an essential requirement.

🏝️ Benefits

• Competitive salary and equity options.

• Comprehensive health, dental, and vision insurance.

• Flexible work hours and remote work opportunities.

• Professional development and training programs.

• Supportive and innovative work environment.