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ML Engineer

Pinely
Удаленно
Опубликовано: 15 May 2025
5 000 —‍ 7 000 €/мес на руки

We are hiring remote specialists who have already relocated from Russia.

We are looking for an experienced Software Engineer to join our ML infrastructure team. The team is responsible for ML and Python infrastructure that is the backbone of our ML-based strategies. Our infrastructure is written in Python, Go, and C++.

Responsibilities

  • Working closely with quantitative researchers to improve the realism of simulation and user experience.
  • Improving the user experience in data analytics and dataset creation.
  • Working on dataset creation speed, for example, by optimizing Pandas/Polars/Spark queries.
  • Optimizing storage formats and data retrieval methods.
  • Creating user-friendly interfaces for feature and target engineering.
  • Optimizing execution time.
  • Supporting the Python simulator.

Requirements

  • At least 5+ years of professional experience as a Python/C++/ML Engineer.
  • Proficiency in Python/C++/Go.
  • Experience in SQL/Spark/Pandas/NumPy.
  • Strong expertise in databases, data pipelines, and service development.
  • Experience contributing to projects with complex architecture.
  • Linux expertise (perf profiling).
  • Expertise in algorithms and data structures.
  • Ability to work in a fast-paced environment and efficiently multitask.
  • Ability to communicate effectively within your team and with other teams.

Would be great if you had this

  • Experience in developing high-load services.
  • Experience in PyTorch/Jax.
  • Understanding of operating systems, networks, and performance optimization.
  • Any experience in competitive programming contests (IOI, ICPC, hashcode) or CTFs.

What we offer

  • Competitive compensation above the market with bonuses twice a year, up to 50% of annual salary.
  • Sophisticated internal training and development programs.
  • Comprehensive health insurance.
  • Reimbursement for sports activities.
  • Engaging in corporate events twice a year.
  • High level of influence and ownership of the process.
  • Work closely with an experienced team in a flat organizational structure.
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