Member of Technical Staff, Machine Learning

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

📋 Description

• Develop and enhance machine learning components involved in data processing, training, evaluation, and inference.

• Fine-tune and adjust models as part of comprehensive production systems.

• Execute evaluation and testing procedures to gain insights into model performance.

• Assist in constructing and maintaining data pipelines for both real-world and synthetic datasets.

• Troubleshoot model-related issues, performance challenges, and incidents in production.

• Deliver improvements iteratively and gather insights from actual user feedback.

• Collaborate closely with senior machine learning engineers and product teams.

• Operate within production constraints such as latency, cost, reliability, and safety.

• Ensure that machine learning models achieve accuracy, latency, and reliability benchmarks.

• Identify, debug, and determine root causes of production issues.

• Maintain robust, reproducible, and manageable data pipelines, training loops, and inference systems.

• Partner with engineering, product, and research teams to deploy reliable machine learning-driven features.

⛳️ Requirements

• Solid understanding of machine learning principles and contemporary neural architectures.

• Some practical experience in training, fine-tuning, or deploying machine learning models.

• Proficient in writing production-quality code and swiftly adapting to new tools.

• Inquisitive, open to coaching, and eager to learn from real-world production environments.

• Capable of navigating ambiguity with support, gradually taking on more responsibility.

• A tendency towards shipping, iterative development, and ongoing enhancement.

• Proficiency in Python.

• Familiarity with PyTorch or JAX.

• Experience with production machine learning systems operating on GPUs.

🏝️ Benefits

• Competitive base salary and equity package, with compensation varying based on location.

• Remote-first work culture.