Senior Machine Learning Engineer

Expected, Python, PyTorch, JAX

Operating system, macOS

About the project, We are looking for a Senior Machine Learning Engineer to design, build, and scale the core machine learning systems powering our AI products. This is a hands-on, high-impact role for someone who enjoys solving ambiguous problems, taking ownership, and delivering production-ready ML solutions that create real value for users., , You will own the full lifecycle of machine learning systems, from data preparation and model training to deployment, monitoring, and continuous improvement. Working closely with Research, Product, and Engineering teams, you will transform cutting-edge ideas into reliable, scalable production systems.

This is how we work, at the client's site

Your responsibilities, Design, develop, and maintain production-grade machine learning systems., Own the end-to-end ML lifecycle, including data preparation, model training, evaluation, deployment, inference, and iteration., Build robust and scalable training and inference pipelines., Translate research ideas into reliable production solutions., Monitor, debug, and improve ML models using real-world production signals., Continuously optimize models for accuracy, latency, reliability, efficiency, and cost., Collaborate closely with Research, Product, and Engineering teams to deliver impactful AI features., Mentor fellow ML engineers through technical leadership, code reviews, and knowledge sharing., Ensure ML systems meet production requirements around scalability, performance, safety, and maintainability.

Strong proficiency in Python., Hands-on experience with PyTorch and/or JAX., Experience building GPU-based training and inference systems., Track record of designing, building, and deploying machine learning systems used by real users., Ability to write clean, maintainable, production-quality code., Strong systems-thinking mindset with the ability to solve complex engineering challenges., Self-driven, highly accountable, and comfortable working independently., Excellent communication skills and the ability to collaborate across technical disciplines., Passion for continuous learning and iterative product development.

Optional, Experience designing large-scale data pipelines., Experience optimizing ML infrastructure for performance and cost., Experience with production model monitoring and observability., Familiarity with distributed training and large-scale AI systems.

What we offer, Full-time employment, 100% remote work, Opportunity to build an AI-native product with global ambitions, Work with state-of-the-art AI technologies and modern backend infrastructure, High ownership and autonomy from day one, Collaboration with an exceptional engineering team passionate about innovation, Fast-paced environment where your ideas have real impact, Opportunity to solve complex engineering challenges at scale

This is how we work on a project, documentation, issue tracking tools, testing environments

Why Join Us?, We believe the world’s best products are built by small, exceptionally talented teams. We maintain a high-talent-density culture where ownership, collaboration, and execution matter. We move quickly, balancing speed with quality while continuously learning and improving., , You’ll have the opportunity to solve challenging technical problems, shape the future of our AI platform, and build products that deliver truly magical experiences for users.

NTIATIVE sp. z o.o., NTIATIVE is one of the best Polish recruitment agencies because we specialise in IT and IT only and avoid all other distractions., , We want to provide a unique and unforgettable experience by matching tech talent with great employers., , Our team delivers to the commitments we gave to each other, our candidates and our clients.