Senior Machine Learning Engineer

Darum lohnt es sich

You take ambiguous problems, design practical solutions, and ship systems that operate reliably at scale. /ppThis is a hands-on, high-impact role focused on depth. /ph3bFocus /b /h3ullipBuild core ML systems that power a proactive, long-horizon AI product. /p /lilipOwn work end-to-end: data preparation, training, evaluation, inference, and iteration. /p /lilipTurn research ideas into working systems that run reliably in production. /p /lilipDebug model failures and system issues using real production signals. /p /lilipIterate quickly: ship, measure outcomes, refine, and repeat. /p /lilipCollaborate closely with research, product, and engineering to deliver real user impact. /p /lilipMentor and review work from other ML engineers through example and technical judgment. /p /lilipWork under real production constraints: latency, cost, reliability, and safety /p /li /ulh3bTech Stack /b /h3ullipPython /p /lilipPyTorch / JAX /p /lilipGPU-based training and inference systems /p /li /ulh3bIdeal Experience /b /h3ullipYou have built and shipped ML systems used by real users. /p /lilipYou understand how modern ML models behave — and misbehave — in production. /p /lilipYou write strong, production-quality code and think in systems, not scripts. /p /lilipYou take ownership, work independently, and push work across the finish line. /p /lilipYou learn fast, communicate clearly, and improve through iteration. /p /li /ulh3bOutcomes /b /h3ullipML models and systems in production consistently meet accuracy, latency, reliability, and efficiency targets. /p /lilipComplex production issues are monitored, debugged, and resolved with minimal disruption. /p /lilipTraining, inference, and data pipelines are robust, scalable, and maintainable over time. /p /lilipDrives measurable improvements in ML systems based on real-world signals and user feedback. /p /lilipProvides mentorship and technical guidance to peers, raising the overall ML engineering standard. /p /lilipCollaborates cross-functionally to ensure ML features integrate seamlessly into products and meet business goals. /p /li /ulh3bHow We Work /b /h3pThe best products today in the world were built by small, world class teams.

We are a high talent density and hands-on team. Joining our team requires the ability to bring structure, exercise judgment, and execute independently.

Our goal is to put in hands of our users a truly magical product /ph3bInterview process /b /h3pIf there appears to be a fit, we'll schedule 3, but no more than 4 interviews. /ppApplications are evaluated by our technical team members. ph3Company /h3pA1 is building a proactive AI smart assistant for everyday users to bring intelligence to conversations, errands, organising and workflows. /ppOur 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. /ph3Role /h3pAs a Senior Member of Technical Staff, Machine Learning, you are an independent owner of critical ML subsystems in production.

We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Interviews will be conducted via virtual meetings and/or onsite. /ppWe value transparency and efficiency, so expect a prompt decision.

If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. /p /p #J-18808-Ljbffr