machine learning engineer

Описание:

Bolt is a technology company operating mobility and delivery services across 50+ countries and 850+ cities, serving over 200 million customers through a platform supported by 4.5+ million partners and 4,000+ employees. Its mission is to make cities for people, not cars.

Schauen Sie sich die Aufgabenübersicht unten an Wenn Sie überzeugt sind, dass Sie die richtigen Fähigkeiten und Erfahrungen haben, bewerben Sie sich noch heute. Задачи:

Design, train, and deploy ML/LLM models for catalogue enrichment, moderation, and categorisation at scale, owning production accuracy, latency, and cost; Drive the transition from frontier API models to fine-tuned open-weight models by building data curation and fine-tuning pipelines, comparing quality, and taking selected models into production; Design and build agentic AI systems for catalogue automation, including multi-step workflows, tool use, guardrails, and evaluation harnesses; Build evaluation and experimentation infrastructure, including offline benchmarks, regression suites, LLM-as-judge pipelines, and A/B tests linked to business metrics; Own serving and cost management for self-hosted models, including quantisation, throughput tuning, GPU utilisation, and build-versus-buy decisions; Collaborate with Software Engineers, Data Scientists, Product Managers, and the ML Platform

team to productionise and monitor ML solutions.

Требования:

• Proven experience building and shipping production ML systems at scale, ideally for consumer-facing products at a technology company

• Experience taking LLM-based systems to production, including prompt and model iteration, evaluation, guardrails, observability, and cost management

• Hands‑on experience fine‑tuning and serving open-weight models, including LoRA/QLoRA, SFT, preference optimisation, training data development, and production serving

• Deep expertise in NLP or recommendation systems, with models that improved a business metric

• Mastery of Python and SQL, clean code practices, and production experience with a deep learning framework such as PyTorch, TensorFlow, JAX, or Triton

• Experience with modern ML tooling and cloud infrastructure, including AWS, SageMaker, Airflow, and Docker xayajpt

• 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

• Nice to have: experience in consumer-facing product environments

Условия:

• Rewarding salary and stock option package

• Hybrid working with a minimum of 3 days in the office each week

• Wellness perks supporting physical and mental health

• Career opportunities and professional growth

• Work on products serving millions of customers and partners across 850+ cities in 50+ countries

• Some perks may differ depending on location and role