Requirements

Proven experience building and shipping ML systems in production at scale, ideally in consumer-facing product environments at a technology company.
Demonstrated track record taking LLM-based systems to production, including prompt/model iteration, evaluation, guardrails, observability, and cost management.
Hands-on experience fine-tuning and serving open-weight models (e.g. LoRA/QLoRA, SFT, preference optimization), including building training data and managing production serving.
Deep expertise in NLP or recommendation systems, with models that have moved a business metric.
Strong engineering fundamentals: mastery of Python and SQL, clean code practices, production experience with a deep learning framework (PyTorch, TensorFlow, JAX, or Triton), and experience with modern ML tooling and cloud infrastructure (AWS, SageMaker, Airflow, Docker).
Strong product sense and proactive ownership, with the ability to turn ambiguous problems into measurable ML solutions and drive them from discovery to production impact.

What you'll be doing

Design, train, and deploy ML/LLM models that automate catalogue enrichment, moderation, and categorization at scale, owning accuracy, latency, and cost in production.
Drive the transition from frontier API models to fine-tuned open-weight models: build data curation and fine-tuning pipelines, run quality comparisons, and take winners into production.
Design and build agentic AI systems for catalogue automation, covering multi-step workflows, tool use, guardrails, and evaluation harnesses to prove they work.
Build evaluation and experimentation infrastructure: offline benchmarks, regression suites, LLM-as-judge pipelines, and A/B tests tied to business metrics.
Own the serving and cost story of self-hosted models, including quantization, throughput tuning, GPU utilization, and build-versus-buy decisions.
Collaborate cross-functionally with Software Engineers, Data Scientists, Product Managers, and the ML Platform team to productionize and monitor ML solutions.

Play a direct role in shaping the future of mobility.
Make an impact on millions of customers and partners across 850+ cities in 50+ countries.
Work in fast-moving, autonomous teams with talented and supportive colleagues.
Accelerate your professional growth with unique career opportunities.
Receive a rewarding salary and stock option package that lets you focus on doing your best work.
Enjoy the flexibility of hybrid working, with a minimum of 3 days in the office each week to foster strong connections and teamwork.
Take care of your physical and mental health with our wellness perks.