Senior Machine Learning Engineer
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Requirements
• You have built and shipped ML systems used by real users. • You understand how modern ML models behave — and misbehave — in production. • You write strong, production-quality code and think in systems, not scripts. • You take ownership, work independently, and push work across the finish line. • You learn fast, communicate clearly, and improve through iteration. • Our organization is very flat and our team is small, highly motivated, and focused on engineering and product excellence. All members are expected to be hands-on and to contribute directly to the company’s mission.
Responsibilities
• Build core ML systems for proactive long-horizon AI product end-to-end: data preparation, training, evaluation, inference, and iteration. • Turn research ideas into working production systems reliably run in the field. • Debug model failures using real production signals to ensure system stability. • Iterate quickly by shipping ML models, measuring outcomes, refining based on feedback, and repeating this process for continuous improvement. • Collaborate closely with researchers, product teams, and other engineers to deliver tangible user impact through AI solutions. • Mentor and review work from other ML engineers using example code and technical judgment as a core owner of significant ML systems in production. • Work under real production constraints such as latency, cost, reliability, and safety considerations for the deployed models.