Bjak
Senior Machine Learning Engineer
Vaga remota de Senior Machine Learning Engineer com fit claro de localização do candidato.
Publicada1 de jul. de 2026
Países elegíveis1 país aceito
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Reino Unido
Resumo da vaga
Senior Machine Learning Engineer
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
Focus
- Build core ML systems that power a proactive, long-horizon AI product.
- 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
Tech Stack
- Python
- PyTorch / JAX
- GPU-based training and inference systems
Ideal Experience
- 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.
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.
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