Opis oferty
8Bit - Games Industry Recruitment
18000 - 25000 zł
Poland, Warszawa
Member of Technical Staff, Machine Learning w Warszawa, Polska is listed on Jobeax. Browse 110,000+ vacancies available.
Our client is looking for a Member of Technical Staff, Machine Learning to help build core machine learning components for a proactive AI assistant. The successful candidate will work on real production systems from day one, gaining hands-on experience with how large-scale machine learning behaves outside research environments. This role is suited to an engineer who wants to develop strong systems judgment by shipping, debugging, evaluating, and improving real-world ML systems. They will work closely with experienced machine learning engineers and product teams while gradually taking greater ownership of technical initiatives. Responsibilities Build and improve machine learning components across data preparation, training, evaluation, and inference Fine-tune and adapt models as part of larger production systems Implement evaluation and testing frameworks to better understand model behaviour and performance Help build and maintain pipelines for real-world and synthetic training data Investigate model failures, performance issues, and production incidents Ship improvements iteratively and use real user feedback to guide further development Work closely with senior machine learning engineers, product teams, and other technical stakeholders Contribute to systems operating under production constraints, including latency, cost, reliability, scalability, and safety Improve the quality and maintainability of ML systems through testing, monitoring, and continuous iteration Requirements Strong foundations in machine learning and modern neural network architectures Hands-on experience training, fine-tuning, evaluating, or deploying machine learning models Strong Python programming skills; experience with PyTorch and/or JAX Familiarity with production machine learning systems running on GPUs Ability to write clean, reliable, and production-quality code Understanding of the machine learning lifecycle, including data preparation, training, evaluation, inference, and deployment Ability to learn new tools and technologies quickly Ability to work through ambiguous technical problems with guidance Willingness to take increasing ownership as experience and confidence grow WHAT THEY OFFER Cash and equity compensation Remote-first setup with flexible hours as part of a distributed, global team Generous paid time off Company laptop provided A quick hiring process – 3, occasionally 4, interviews, with fast decisions afterwards ABOUT THE COMPANY They’re an early-stage AI company building a proactive assistant aimed at the 5+ billion people currently stuck using non-AI-native tools for everyday things – email, notes, https://jobeax.com/link/eEydrnxjSoBC7qQ9 focus is squarely on reliability: long-running workflows, persistent context, and tasks that actually get done, even though the underlying models aren’t fully deterministic. Stage: Early-stage AI startup Focus: Proactive AI assistant for everyday productivity Work mode: Remote-first, distributed team
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