Yard Corporate

Lead Machine Learning Engineer (AI Systems)

42k - 58k PLN42 000 - 58 000 PLN/ mies./ mies.B2BB2B (netto)

35k - 45k PLN35 000 - 45 000 PLN/ mies./ mies.UoPUmowa o pracę (brutto)

SeniorZdalnie·WarszawaFull-time·B2B·Umowa o pracę

#465270·Dodano 13 dni temu·11

Źródło: justjoin.it

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Tech Stack / Keywords

Python PyTorchML systemsModel trainingModel EvaluationGPU workloadsSystem DesignTechnical leadership

Podsumowanie oferty

You’ll build and own production ML systems for an AI startup’s agent-first mobile communication platform. The work covers model training, evaluation, and inference using Python, PyTorch and/or JAX, and GPU workloads.

Wymagania

Strong Python skills and hands-on experience with PyTorch and/or JAX.
Proven experience building and shipping production ML systems, not just prototypes.
Solid understanding of large-model training, fine-tuning, evaluation, and inference.
Experience working with GPU-based ML workloads at meaningful scale.
Strong software engineering fundamentals, system design, and performance optimization skills.
Ability to independently solve complex problems and take ownership of technical decisions.
A pragmatic, hands-on mindset with a focus on experimentation, reliability, and shipping.

Nice to have:

Technical leadership experience.

Obowiązki

Build and own end-to-end ML systems running in production.
Develop training and fine-tuning pipelines for large models.
Design evaluation frameworks to measure model quality, robustness, and real-world performance.
Optimize GPU-based inference for latency, memory, cost, and scalability.
Build reliable data pipelines for real-world and synthetic training data.
Develop production infrastructure for model deployment, monitoring, and continuous improvement.
Collaborate with research and application engineering teams to bring model capabilities into the product.
Drive technical decisions and support other engineers while remaining hands-on.

Inne informacje

The role is remote for candidates based in Europe.
The interview process consists of 3–4 interviews.

Yard Corporate

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