Senior Machine Learning Engineer

Posted 2 days ago

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

📋 Description

• Create and develop essential machine learning systems for a proactive, forward-thinking AI platform.

• Manage projects from inception to completion, encompassing data curation, model training, evaluation, inference, and ongoing iterations.

• Convert research ideas into robust and dependable 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 quickly.

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

• Guide fellow engineers and perform thorough technical reviews.

• Enhance model architectures for latency, computational expense, 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 track record of building, deploying, and maintaining machine learning systems actively utilized in real-world settings.

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

• Ability to address production edge cases effectively.

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

• An architectural mindset that goes beyond simple scripting.

• A high degree of self-direction and initiative.

• Demonstrated ability to independently drive complex technical projects from concept to launch.

• Capability to quickly grasp new concepts.

• Proficient in clearly communicating technical trade-offs.

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


🏝️ Benefits

• Significant equity.

• High compensation flexibility.

• Fully remote work opportunity.

• Strong ownership and visible impact.

• Opportunity to work with a small founding team on a greenfield AI product.

• Membership in a high-caliber engineering team.

• A strong culture of rewards.

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