Machine Learning Platform Engineer

Our client is a remote-first global AI product company building a proactive smart assistant for everyday users. The platform supports multi-step reasoning, interacts with external tools, and brings practical AI experiences used globally to make everyday tasks easier, faster, and more intuitive.

• Strong software engineering fundamentals and experience building production systems.
• Experience building ML infrastructure, ML platforms, or production machine learning systems.
• Hands-on experience with model deployment, inference, evaluation, or data pipelines.
• Experience operating ML or AI workloads in production.
• Strong understanding of distributed systems, scalability, observability, and system reliability.
• Familiarity with GPU-based training or inference infrastructure.
• Ability to write clean, maintainable, production-quality code.
• Ability to diagnose performance, reliability, and cost bottlenecks across the ML stack.
• Comfort working in ambiguous, fast-moving environments.
• Bias toward ownership, experimentation, and continuous improvement.

• Build and operate the ML infrastructure and platforms powering production AI products.
• Design systems for model training, evaluation, deployment, inference, and experimentation.
• Build and optimize model-serving and inference infrastructure for high-throughput, low-latency workloads.
• Improve the reliability, scalability, latency, throughput, and cost efficiency of AI systems.
• Develop reliable pipelines for data preparation, training, evaluation, model releases, and continuous improvement.
• Build platforms and tooling that enable AI engineers and researchers to experiment, evaluate, and ship models faster.
• Develop evaluation and benchmarking infrastructure to measure model quality, performance, and regressions.
• Build production observability, monitoring, tracing, and alerting for AI and ML workloads.
• Identify bottlenecks across the ML stack and continuously improve system performance.
• Work closely with AI engineers, researchers, and product teams to turn evolving model requirements into production-ready infrastructure.

Fully remote position available only for candidates based in Poland.