Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Candidates should possess at least 5 years of industry experience as a Software Engineer, with a strong understanding of distributed systems. Excellent communication skills, a great sense of design for complex technical requirements, and an obsessive focus on delivering a seamless developer experience are essential. Mastery of fundamental concepts allowing quick adaptation to varied technologies is also required. Experience building ML models, working on platform teams, building developer tooling, and familiarity with Python, Golang, Ray, Tecton, Spark, Airflow, Databricks, Snowflake, and DynamoDB are considered advantageous.
The Senior Machine Learning Platform Engineer will gain a deep understanding of Machine Learning Engineers' needs and current platform capabilities to mentor junior engineers in building high-quality software. Responsibilities include raising engineering standards for high-availability and low-latency ML inference infrastructure, optimizing low-latency streaming pipelines for data quality, and evangelizing state-of-the-art practices for high-performance distributed training jobs. Additionally, the role involves building tooling to observe data quality and detect performance degradations impacting ML models.
Digital currency wallet and transaction platform
Coinbase provides a platform for buying, selling, and storing digital currencies like bitcoin, ethereum, and litecoin. Users can create a digital wallet to manage their cryptocurrency transactions easily. The platform is designed to be user-friendly, making it accessible for both merchants and consumers. Unlike many competitors, Coinbase focuses on building trust with its users through reliable services and a straightforward interface. The company's goal is to create an open financial system that promotes innovation and equal opportunities in the digital currency space.