Engineering Manager, Machine Learning at Coinbase in Remote - job 1 of 3

Ready to #LiveCrypto? Who you are: You've got good vibes. You're optimistic about the future and determined to get there. You're never tired of learning. You want to be a pro in bleeding edge tech like DeFi, NFTs, DAOs, and Web 3.0. You appreciate direct communication. You're both an active communicator and an eager listener - because let's face it, you can't have one without the other. You're... cool with candid feedback and see every setback as an opportunity to grow. You can pivot on the fly. Crypto is constantly evolving, so our priorities do, too. What you worked on last month may not be what you work on today, and that excites you. You're not looking for a boring job. You have a can do attitude. Our teams create high-quality work on quick timelines. Owning a problem doesn't scare you, but rather empowers you to take 100% responsibility for achieving our mission. You want to be part of a winning team. We're stronger together, and you're a person who embraces being pushed out of your comfort zone. As an Engineering Manager for Machine Learning Risk you will be building the critical infrastructure to protect Crypto users from fraud and enable participation of everyone in the open financial system. You will be tapping into a variety of large data sources such as the blockchain to provide millions of people access to crypto while detecting and preventing bad actors. What you'll be doing (ie. job duties): Build and launch excellent productionalized, low-maintenance models. Build features and success metrics by disambiguating requirements. Leverage state of the art machine learning techniques for a variety of problems across the company including fraud, feed ranking, recommendations and targeting, blockchain mining. Setup A/B experiments and iterate until impact is landed. What we look for in you (ie. job requirements): 3+yrs of Management and hiring experience in the space of Machine Learning 4 yrs of industry experience as a machine learning engineer Experience with at least one ML model: Logistic Regression, Gradient Boosting trees, Deep learning, etc. Experience with data analysis, feature exploration, ETL, and visualization. Experience in one or more of the following: data mining, information retrieval, advanced statistics or natural language processing, computer vision. Experience building backend systems at scale with a focus on data processing/machine learning/analytics. Exhibit our core cultural values: add positive energy, communicate clearly, be curious, and be a builder. Nice to haves: BS, MS, PhD degree in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field. Knowledge of Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake. Experience with Python. Experience with model interpretability, responsible AI. Salary Range: $80K -- $100K Minimum Qualification Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications