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Machine Learning Engineer

• Balance independence and collaboration: you make quick, informed decisions on your own, but stay aligned with the team and company goals.
• Value both agency and teamwork, and bring strong communication skills to keep collaboration productive.
• Enjoy supporting the growth of others: sharing knowledge, mentoring junior teammates, and helping the whole team level up.
• Extend our technology and products for edge MLOps: clean interfaces, reliable services, and ergonomics that make ML workflows fast and repeatable.
• Build products that enable users to explore, assess, and improve training data quality at scale (e.g. embeddings, clustering, distillation).
• Enhance automated MLOps pipelines with new models, optimization strategies, and evaluation methods to mine predictive signal from large experiment corpora.
• Help evolve our agentic layer so customers can interact with the system naturally (query state, orchestrate runs, interpret results).
• Ship production-grade code with strong CI/CD, tests, and docs; raise reliability and developer experience across the stack

AI/ML Engineer