Senior Machine Learning Infrastructure Engineer, Embedding Platform

📋 Description

• Design, train, and improve large-scale ML platforms for recommendation or personalization systems.
• Own and deliver major ML components end to end, from problem framing through production rollout.
• Build and optimize end-to-end ML pipelines spanning data prep, feature generation, training
• Improve distributed training, model efficiency, and online inference performance.
• Apply modern modeling approaches including sequence modeling and related foundation-model
• Develop reliable serving and monitoring patterns for low-latency, high-throughput production ML

🎯 Requirements

• 5+ years of experience in machine learning engineering, with a strong focus on large-scale ML
• Expertise in modern deep learning architectures, including sequence models and foundational models.
• Experience building or scaling ML platform for large datasets and high-traffic production
• Demonstrated ability to independently scope and execute ambiguous technical work, while owning
• Solid understanding of distributed training and inference concepts, such as data parallelism, model
• Proficiency in Python and experience with modern ML frameworks such as PyTorch, TensorFlow, or

🎁 Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits