Senior Machine Learning Engineer

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Take ownership of comprehensive machine learning projects, from defining problems and conducting offline evaluations to deploying in production and executing online A/B tests.

• Create and refine recommendation, retrieval, and contextual bandit models to enhance personalized experiences in areas such as crypto, equities, derivatives, and prediction markets.

• Design systems for notification orchestration, candidate ranking, and targeting.

• Develop production pipelines for large language models (LLMs), establish grounding workflows, and automate evaluation loops to generate market insights and tailored financial content.

• Construct robust, low-latency services for model serving and real-time feature pipelines.

• Address technical debt, lead incident response efforts, and enhance operational reliability.

• Collaborate with Product, Data Science, and Engineering teams to define the project roadmap.

• Provide mentorship to L3-L4 engineers while creating AI-driven workflows and automation.

⛳️ Requirements

• A minimum of 5 years of experience in machine learning engineering and software development.

• Proven history of deploying production ML systems that positively impact customer and business metrics.

• Familiarity with recommendation systems, multi-stage ranking and retrieval, contextual bandits, notification targeting, or production applications of LLMs.

• Strong software engineering and data analysis skills, proficient in Python or Go.

• Hands-on experience with tools such as PyTorch, GBDTs, Spark/Databricks, Ray, Kafka, and/or Tecton.

• Understanding of offline model evaluation, mitigation of training-serving skew, and conducting online A/B tests linked to business metrics.

• Capable of managing complex projects from start to finish while making practical architectural decisions.

• Ability to mentor less experienced engineers.

• Responsible use of generative AI under human supervision.

• Must reside in the USA; there is also an option for Remote - Canada as an eligible location.

🏝️ Benefits

• Eligibility for equity.

• Bonus eligibility.

• Medical insurance coverage.

• Dental insurance coverage.

• Vision insurance coverage.

• 401(k) plan.

• Quarterly in-person working sessions referred to as “surges.”

• Reasonable accommodations for individuals with disabilities.

• Equal opportunity employment protections.