2 days ago
Senior Machine Learning Engineer (AI Research Lab)
Вакансия напрямую с сайта из расширенного списка "глобальных компаний для русскоязычных специалистов" - туда входят компании с восточно-европейскими корнями.
Обычно нужен английский ~B2 и локация вне РФ/РБ (и/или ИП). Может требовать VPN для доступа
Описание вакансии
Текст:
TL;DR
Senior Machine Learning Engineer (AI Research): Turning cutting-edge AI ideas into production features that automate millions of conversations, with an accent on solving real user problems through ML/LLM workflows. Focus on defining the team's tool stack and continuously enhancing features through monitoring and user feedback.
Company
is a leading Chat Marketing platform that helps businesses engage with their customers on Instagram, Facebook Messenger, WhatsApp, and Telegram.
What you will do
- Define the team’s tool stack, creating clear interfaces with other squads.
- Partner with Product to solve user cases and propose technical metrics.
- Prepare validation data and drive labeling strategies.
- Select the optimal approach: classical ML, LLM chains, or agents.
- Deliver solutions to production with the Python Platform Team, refining service boundaries.
- Continuously enhance features through monitoring and user feedback.
Requirements
- 7+ years of production ML/LLM experience in Python, from prototype to live service.
- Proven skill training classical models and building repeatable pipelines.
- Prompt-engineering expertise: designing, testing, and refining system/user prompts.
- Practical experience fine-tuning LLMs, implementing RAG pipelines, and conducting large-scale evaluations.
- Solid grasp of pydantic for typed data models and validation in Python services.
- Clean, well-tested code with CI/CD, containers, observability, and performance tuning.
Culture & Benefits
- Comprehensive health insurance for you and your family.
- Professional development budget.
- Flexible benefits package to tailor perks that matter most for you.
- Hybrid work and generous leave options to prioritize your work-life balance.
- In-office perks, including free meals and snacks.
- Company-funded sport activities, annual offsites, and team-building events.