Senior Machine Learning Engineer

This is a fully remote position, open to applicants in Czechia.

📋 Description

• Design and develop essential machine learning systems for an innovative, forward-thinking AI platform.

• Take full ownership of projects from inception to completion, encompassing data curation, model training, evaluation, inference, and ongoing iteration.

• Convert research ideas into robust and dependable production systems.

• Utilize live production signals and data to identify and resolve model anomalies and system bottlenecks.

• Deploy systems, evaluate real-world performance metrics, refine methodologies, and iterate swiftly.

• Work collaboratively with research, engineering, and product teams to align technical milestones with user value.

• Provide mentorship to fellow engineers and conduct thorough code and technical reviews.

• Enhance model architectures for latency, computational efficiency, reliability, and safety at scale.

⛳️ Requirements

• At least 5 years of experience in a Machine Learning position.

• Proficiency in Python.

• Familiarity with PyTorch and/or JAX.

• Experience with GPU-accelerated training and inference systems.

• Proven experience in building, deploying, and maintaining machine learning systems in real-world settings.

• Strong practical knowledge of modern ML model behavior and potential failure modes in live production.

• Capability to address production edge cases effectively.

• A history of writing clean, robust, production-quality code.

• An architectural mindset that extends beyond basic scripting.

• A high level of self-direction and initiative.

• Demonstrated ability to independently manage complex technical projects from concept to execution.

• Quick to absorb new concepts.

• Ability to clearly communicate technical trade-offs.

• Commitment to continuously enhancing code and systems through iterative feedback loops.

🏝️ Benefits

• Significant equity.

• Flexible high compensation.

• Fully remote working environment.

• Strong ownership and visible impact.

• Opportunities for mentorship and collaboration with top-tier engineers.

• Greenfield product development opportunities.

• Human-reviewed candidate selection process without automated screening algorithms or AI-driven scoring.