Das ist der Job
Responsibilities Build core ML systems that power a proactive, long-horizon AI product.
Darum lohnt es sich
You understand how modern ML models behave — and misbehave — in production. Overview A1 is building a proactive AI smart assistant for everyday users to bring intelligence to conversations, errands, organising and workflows.
Our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior.
Own work end-to-end: data preparation, training, evaluation, inference, and iteration. Turn research ideas into working systems that run reliably in production. Debug model failures and system issues using real production signals. Iterate quickly: ship, measure outcomes, refine, and repeat.
Collaborate closely with research, product, and engineering to deliver real user impact. Mentor and review work from other ML engineers through example and technical judgment. Work under real production constraints: latency, cost, reliability, and safety.
Python PyTorch / JAX GPU-based training and inference systems Ideal Experience You have built and shipped ML systems used by real users. 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. Outcomes ML models and systems in production consistently meet accuracy, latency, reliability, and efficiency targets. Complex production issues are monitored, debugged, and resolved with minimal disruption.
Training, inference, and data pipelines are robust, scalable, and maintainable over time. Drives measurable improvements in ML systems based on real-world signals and user feedback. Provides mentorship and technical guidance to peers, raising the overall ML engineering standard.
Collaborates cross-functionally to ensure ML features integrate seamlessly into products and meet business goals. #J-18808-Ljbffr
