Senior Machine Learning Platform Engineer (Platform)

About the Role

The team's mission is to provide a seamless experience for ML engineers, enabling them to focus on building high-quality models that drive business impact. You will have the opportunity to mentor junior engineers, continually raise engineering standards, and evangelize state-of-the-art practices.

What You Will Do

• Form a deep understanding of our Machine Learning Engineers' needs and current capabilities and gaps
• Mentor junior engineers on building high-quality software and take their skills to the next level
• Continually raise engineering standards to maintain high-availability and low-latency for our ML inference infrastructure
• Optimize low-latency streaming pipelines to give our ML models the freshest and highest-quality data
• Evangelize state-of-the-art practices on building high-performance distributed training jobs that process large volumes of data
• Build tooling to observe the quality of data going into our models and detect degradations impacting model performance
• Collaborate with cross-functional teams to identify and prioritize opportunities for ML-driven growth
• Participate in design and code reviews to ensure high-quality solutions
• Develop and maintain technical documentation for ML platforms and tools

What We Are Looking For

• 5+ years of industry experience as a Software Engineer
• Strong understanding of distributed systems
• Leadership skills, with the ability to lead by example through high-quality code and excellent communication skills
• Great sense of design, with the ability to bring clarity to complex technical requirements
• Customer-obsessed mindset, with a focus on delivering a seamless experience for ML engineers
• Mastery of the fundamentals, with the ability to quickly jump between many varied technologies and still operate at a high level
• Experience with ML systems and building ML models
• Strong understanding of software engineering principles and best practices

Nice to Have

• Experience working on a platform team and building developer tooling
• Experience with technologies such as Python, Golang, Ray, Tecton, Spark, Airflow, Databricks, Snowflake, and DynamoDB
• Familiarity with agile development methodologies and version control systems
• Experience with cloud-based infrastructure and containerization

Benefits and Perks

• Competitive salary and equity package
• Opportunity to work on cutting-edge ML projects and technologies
• Collaborative and dynamic work environment
• Flexible working hours and remote work options
• Access to professional development and training opportunities
• Comprehensive health and wellness benefits
• Generous PTO and parental leave policies

• To stand out, highlight your experience with distributed systems and ML platforms in your resume and cover letter. Showcase your ability to lead by example and deliver high-quality code.
• Be prepared to discuss your understanding of software engineering principles and best practices during the interview process.
• Emphasize your customer-obsessed mindset and focus on delivering a seamless experience for ML engineers.
• Familiarize yourself with Coinbase's technology stack and be prepared to discuss how you can contribute to the company's mission.
• Consider creating a portfolio that showcases your ML projects and experience working with large datasets.
• Don't be afraid to ask about the company culture and expectations during the interview process to ensure it's a good fit for you.