Senior Machine Learning Engineer
Required skills
Experience as a machine learning engineer, working on real-world problems impacting live customers, Experience developing ML models end to end and deploying into production environments, Experience building and maintaining scalable, reliable, and safe ML models that directly impact customers’ experience, Experience implementing AI/ML models that balance quality, speed, and cost, Experience automatically monitoring the quality and effectiveness of ML/AI models from local dev through to production, Experience with SQL, data analysis, and databases, Experience with Python, and strong track record of writing readable, maintainable production code, Experience with GCP or AWS, Skilled in being self-directed and moving quickly to build and improve systems and architectures, Ability to work in a fast-paced early stage startup, Skilled at communicating effectively in a distributed environment with people across multiple time zones, Strong self-motivation, initiative, and adaptability, Familiarity with reinforcement learning or bandit models
Preferred skills
Experience with Java and Golang, Experience with Reinforcement Learning, Experience with Google Cloud and BigQuery
Technologies
SQL, data analysis, databases, Python, GCP, AWS, Google Cloud, BigQuery
Responsibilities
Research, implement, and tune cutting-edge RL/ML models to achieve critical business outcomes, Design and implement AI/ML models that balance quality, speed, and cost, Collaborate with the rest of the Algorithms team to achieve goals that drastically impact the revenue of the business, Build repeatable, reliable pathways for promoting ML models from development to production
Seniority
Senior
Domain
Machine learning, artificial intelligence, data science, cloud computing, data warehousing
