Senior Machine Learning Platform Engineer
Coinbase
Senior Machine Learning Platform Engineer
Job Description
Responsibilities
- Form a deep understanding of our Machine Learning Engineers’ needs and our current capabilities and gaps.
- Mentor our talented junior engineers on how to build high quality software, and take their skills to the next level.
- Continually raise our engineering standards to maintain high-availability and low-latency for our ML inference infrastructure that runs both predictive ML models and LLMs.
- 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 to detect degradations impacting model performance.
Required Qualifications
- 5+ yrs of industry experience as a Software Engineer.
- You have a strong understanding of distributed systems.
- You lead by example through high quality code and excellent communication skills.
- You have a great sense of design, and can bring clarity to complex technical requirements.
- You treat other engineers as a customer, and have an obsessive focus on delivering them a seamless experience.
- You have a mastery of the fundamentals, such that you can quickly jump between many varied technologies and still operate at a high level.
Preferred Qualifications
- Experience building ML models and working with ML systems.
- Experience working on a platform team, and building developer tooling.
- Experience with the technologies we use (Python, Golang, Ray, Tecton, Spark, Airflow, Databricks, Snowflake, and DynamoDB).
Required Skills
- Software Engineering
- Distributed Systems
- High quality code
- Communication skills
- Design
- Technical requirements clarity
- Customer focus for engineers
- Mastery of fundamentals
- Python
- Golang
- Ray
- Tecton
- Spark
- Airflow
- Databricks
- Snowflake
- DynamoDB
- Machine Learning models
- ML systems
- Platform team experience
- Developer tooling
Benefits
- bonus eligibility
- equity eligibility
- benefits (including medical, dental, vision and 401(k))
Salary Range
$179300 - $218900 USD
Locations
- USA, United States (Remote)
Salary
179,300 - 218,900 USD / yearly
Skills Required
- Software Engineeringintermediate
- Distributed Systemsintermediate
- High quality codeintermediate
- Communication skillsintermediate
- Designintermediate
- Technical requirements clarityintermediate
- Customer focus for engineersintermediate
- Mastery of fundamentalsintermediate
- Pythonintermediate
- Golangintermediate
- Rayintermediate
- Tectonintermediate
- Sparkintermediate
- Airflowintermediate
- Databricksintermediate
- Snowflakeintermediate
- DynamoDBintermediate
- Machine Learning modelsintermediate
- ML systemsintermediate
- Platform team experienceintermediate
- Developer toolingintermediate
Required Qualifications
- 5+ yrs of industry experience as a Software Engineer. (experience)
- You have a strong understanding of distributed systems. (experience)
- You lead by example through high quality code and excellent communication skills. (experience)
- You have a great sense of design, and can bring clarity to complex technical requirements. (experience)
- You treat other engineers as a customer, and have an obsessive focus on delivering them a seamless experience. (experience)
- You have a mastery of the fundamentals, such that you can quickly jump between many varied technologies and still operate at a high level. (experience)
Preferred Qualifications
- Experience building ML models and working with ML systems. (experience)
- Experience working on a platform team, and building developer tooling. (experience)
- Experience with the technologies we use (Python, Golang, Ray, Tecton, Spark, Airflow, Databricks, Snowflake, and DynamoDB). (experience)
Responsibilities
- Form a deep understanding of our Machine Learning Engineers’ needs and our current capabilities and gaps.
- Mentor our talented junior engineers on how to build high quality software, and take their skills to the next level.
- Continually raise our engineering standards to maintain high-availability and low-latency for our ML inference infrastructure that runs both predictive ML models and LLMs.
- 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 to detect degradations impacting model performance.
Benefits
- general: bonus eligibility
- general: equity eligibility
- general: benefits (including medical, dental, vision and 401(k))
Tags & Categories
Senior Machine Learning Platform Engineer
Coinbase
Senior Machine Learning Platform Engineer
Job Description
Responsibilities
- Form a deep understanding of our Machine Learning Engineers’ needs and our current capabilities and gaps.
- Mentor our talented junior engineers on how to build high quality software, and take their skills to the next level.
- Continually raise our engineering standards to maintain high-availability and low-latency for our ML inference infrastructure that runs both predictive ML models and LLMs.
- 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 to detect degradations impacting model performance.
Required Qualifications
- 5+ yrs of industry experience as a Software Engineer.
- You have a strong understanding of distributed systems.
- You lead by example through high quality code and excellent communication skills.
- You have a great sense of design, and can bring clarity to complex technical requirements.
- You treat other engineers as a customer, and have an obsessive focus on delivering them a seamless experience.
- You have a mastery of the fundamentals, such that you can quickly jump between many varied technologies and still operate at a high level.
Preferred Qualifications
- Experience building ML models and working with ML systems.
- Experience working on a platform team, and building developer tooling.
- Experience with the technologies we use (Python, Golang, Ray, Tecton, Spark, Airflow, Databricks, Snowflake, and DynamoDB).
Required Skills
- Software Engineering
- Distributed Systems
- High quality code
- Communication skills
- Design
- Technical requirements clarity
- Customer focus for engineers
- Mastery of fundamentals
- Python
- Golang
- Ray
- Tecton
- Spark
- Airflow
- Databricks
- Snowflake
- DynamoDB
- Machine Learning models
- ML systems
- Platform team experience
- Developer tooling
Benefits
- bonus eligibility
- equity eligibility
- benefits (including medical, dental, vision and 401(k))
Salary Range
$179300 - $218900 USD
Locations
- USA, United States (Remote)
Salary
179,300 - 218,900 USD / yearly
Skills Required
- Software Engineeringintermediate
- Distributed Systemsintermediate
- High quality codeintermediate
- Communication skillsintermediate
- Designintermediate
- Technical requirements clarityintermediate
- Customer focus for engineersintermediate
- Mastery of fundamentalsintermediate
- Pythonintermediate
- Golangintermediate
- Rayintermediate
- Tectonintermediate
- Sparkintermediate
- Airflowintermediate
- Databricksintermediate
- Snowflakeintermediate
- DynamoDBintermediate
- Machine Learning modelsintermediate
- ML systemsintermediate
- Platform team experienceintermediate
- Developer toolingintermediate
Required Qualifications
- 5+ yrs of industry experience as a Software Engineer. (experience)
- You have a strong understanding of distributed systems. (experience)
- You lead by example through high quality code and excellent communication skills. (experience)
- You have a great sense of design, and can bring clarity to complex technical requirements. (experience)
- You treat other engineers as a customer, and have an obsessive focus on delivering them a seamless experience. (experience)
- You have a mastery of the fundamentals, such that you can quickly jump between many varied technologies and still operate at a high level. (experience)
Preferred Qualifications
- Experience building ML models and working with ML systems. (experience)
- Experience working on a platform team, and building developer tooling. (experience)
- Experience with the technologies we use (Python, Golang, Ray, Tecton, Spark, Airflow, Databricks, Snowflake, and DynamoDB). (experience)
Responsibilities
- Form a deep understanding of our Machine Learning Engineers’ needs and our current capabilities and gaps.
- Mentor our talented junior engineers on how to build high quality software, and take their skills to the next level.
- Continually raise our engineering standards to maintain high-availability and low-latency for our ML inference infrastructure that runs both predictive ML models and LLMs.
- 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 to detect degradations impacting model performance.
Benefits
- general: bonus eligibility
- general: equity eligibility
- general: benefits (including medical, dental, vision and 401(k))
Tags & Categories