Senior Machine Learning Engineer

Posted Sep 19

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

πŸ“‹ Description

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

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

β€’ Convert research ideas into robust and dependable production systems.

β€’ Utilize live production signals and data to identify and resolve model anomalies and system bottlenecks.

β€’ Implement systems, assess real-world performance metrics, refine strategies, and iterate quickly.

β€’ Collaborate with research, engineering, and product teams to align technical milestones with user value.

β€’ Guide fellow engineers and perform thorough technical reviews.

β€’ Enhance model architectures for latency, computational expense, reliability, and safety at scale.


⛳️ Requirements

β€’ At least 5 years of experience in a Machine Learning position.

β€’ Proficiency in Python.

β€’ Familiarity with PyTorch and/or JAX.

β€’ Experience with GPU-based training and inference systems.

β€’ Proven track record of building, deploying, and maintaining machine learning systems actively utilized in real-world settings.

β€’ Strong practical knowledge of modern ML model behavior and failure modes in live production.

β€’ Ability to address production edge cases effectively.

β€’ A history of writing clean, robust, production-ready code.

β€’ An architectural mindset that goes beyond simple scripting.

β€’ A high degree of self-direction and initiative.

β€’ Demonstrated ability to independently drive complex technical projects from concept to launch.

β€’ Capability to quickly grasp new concepts.

β€’ Proficient in clearly communicating technical trade-offs.

β€’ Committed to continuously enhancing code and systems through iterative feedback loops.


🏝️ Benefits

β€’ Significant equity.

β€’ High compensation flexibility.

β€’ Fully remote work opportunity.

β€’ Strong ownership and visible impact.

β€’ Opportunity to work with a small founding team on a greenfield AI product.

β€’ Membership in a high-caliber engineering team.

β€’ A strong culture of rewards.

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