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Job Description
Are you ready to elevate your career and make a meaningful impact? At Coinbase, we strive to enhance economic freedom globally, and we are on a mission to create the future of the global financial system through innovative blockchain technology.
We are looking for a passionate and dedicated individual who believes in the transformative power of cryptocurrency and blockchain technology. If you are excited to tackle challenging problems and collaborate with talented peers, this is the ideal opportunity for you.
Our work culture is dynamic and may not suit everyone, but if you aspire to help shape the future in a high-performing team, we invite you to join us.
While many locations at Coinbase provide remote flexibility, we emphasize in-person collaboration throughout the year. Team-building events and company-wide offsites are organized multiple times a year to strengthen connections and teamwork, and your participation is encouraged.
We are seeking a Lead Machine Learning Engineer for Platform Development to become a key member of our Machine Learning Platform team. This team focuses on constructing vital components for ML feature engineering, model training, and serving at Coinbase. Your contributions will help combat fraud, personalize user experiences, and analyze blockchain data. You will apply your engineering skills to build scalable ML solutions, encompassing stream processing, distributed training, and high-availability online services.
Key Responsibilities:
- Understand the needs of our Machine Learning Engineers, identifying current capabilities and areas for improvement.
- Mentor junior engineers, fostering their skills while guiding the creation of high-quality software.
- Enhance engineering standards to assure high availability and low latency for ML inference infrastructure, including predictive models and large language models (LLMs).
- Optimize low-latency streaming pipelines, ensuring our ML models have access to the freshest and highest-quality data.
- Encourage best practices in developing high-performance distributed training jobs capable of processing large datasets.
- Develop tools to monitor data quality entering our models and identify performance degradations that might affect model outputs.
What We Seek:
- 5+ years of experience as a Software Engineer.
- Strong grasp of distributed systems.
- Ability to lead by example with high-quality code and clear communication skills.
- Strong design philosophy and skill in clarifying complex technical requirements.
- Customer-focused mindset, treating other engineers as clients and ensuring a seamless experience.
- Mastery of foundational principles, allowing seamless transitions across various technologies.
Preferred Qualifications
- Experience in building machine learning models and working with ML systems.
- Experience on a platform team developing developer tools.
- Familiarity with technologies such as Python, Golang, Ray, Tecton, Spark, Airflow, Databricks, Snowflake, and DynamoDB.
Job ID: P75027
Pay Transparency Notice: Depending on your work location, the target annual base salary for this position ranges from $186,065 to $225,000. Full-time offers from Coinbase also include bonus eligibility, equity options, and comprehensive benefits such as medical, dental, vision, and 401(k).
Please note that candidates may submit up to four applications every 30 days. We encourage you to evaluate how your skills and interests resonate with the roles at Coinbase before applying.
Commitment to Equal Opportunity: Coinbase is proud to be an Equal Opportunity Employer, considering all qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender identity, or any other protected basis. We also consider qualified applicants with criminal histories in compliance with applicable laws.
Coinbase is dedicated to providing reasonable accommodations to individuals with disabilities. If you require assistance during any part of the employment process due to a disability, please reach out to discuss your needs.
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