Senior Machine Learning Engineer

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

📋 Description

• Design and develop essential machine learning systems for an advanced, proactive 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 highly reliable production systems.

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

• Implement systems, assess real-world performance metrics, refine strategies, and iterate swiftly.

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

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

• Establish high standards for technical judgment through practical execution.

• Enhance model architectures for latency, computational cost, 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-based training and inference systems.

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

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

• Capability to address production edge cases effectively.

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

• An architectural mindset that goes beyond basic scripting.

• A high level of self-direction and initiative.

• Ability to independently lead complex technical projects from concept to launch.

• Quick to absorb new concepts.

• Proficient in clearly communicating technical trade-offs.

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

🏝️ Benefits

• Significant equity opportunities.

• High compensation flexibility.

• Fully remote working environment.

• Strong ownership with visible impact.

• Opportunity to work on a greenfield AI product.

• Access to a high-caliber engineering team.

• Mentorship and technical growth through thorough reviews and execution.