Staff Machine Learning Engineer - Core Automation
Coinbase
Staff Machine Learning Engineer - Core Automation
Job Description
Responsibilities
- Explore and apply advanced machine learning techniques, including large language models (LLMs) and deep learning, to solve complex challenges across the organization.
- Collaborate with management and stakeholders to define strategic roadmaps and translate them into actionable quarterly plans.
- Drive project execution by managing priorities, deadlines, and deliverables, leveraging your technical expertise.
- Develop high-quality, well-tested Python code to address critical product and business needs.
- Design scalable, secure systems using state-of-the-art AI/ML technologies and industry best practices.
- Mentor team members on design principles, coding standards, and the adoption of AI productivity tools.
- Troubleshoot and resolve complex technical issues to improve system reliability, scalability, and operational efficiency.
- Ensure the security, scalability, and architectural integrity of feature designs through thorough reviews across teams.
Required Qualifications
- 8+ years of experience in machine learning and software engineering.
- Proven expertise in designing, building, scaling, and maintaining production services, with a strong focus on data processing/machine learning/analytics.
- Hands-on experience with at least one ML model type, such as LLMs, GNNs, Deep Learning, Logistic Regression, or Gradient Boosting Trees.
- Proficiency in one or more areas, including data mining, information retrieval, advanced statistics, natural language processing, or computer vision.
- Ability to write high-quality, well-tested code that effectively addresses customer needs.
- Experience mentoring and developing junior engineers by implementing processes and setting a high standard for excellence.
- Passion for building an open financial system that connects the world.
- Exceptional written and verbal communication skills, with a commitment to open and transparent cultural practices.
Preferred Qualifications
- Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Data Mining, Statistics, or a related technical field.
- Proficiency with GenAI frameworks/tools and technologies such as Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, and Databricks.
- Familiarity with model interpretability and responsible AI practices.
- Expertise in data analysis and visualization.
Required Skills
- machine learning
- software engineering
- data processing
- analytics
- LLMs
- GNNs
- Deep Learning
- Logistic Regression
- Gradient Boosting Trees
- data mining
- information retrieval
- advanced statistics
- natural language processing
- computer vision
- Python
- mentoring
- communication skills
Benefits
- bonus eligibility
- equity eligibility
- benefits (including medical, dental, vision and 401(k))
Salary Range
$218025 - $256500 USD
Locations
- USA, United States (Remote)
Salary
218,025 - 256,500 USD / yearly
Skills Required
- machine learningintermediate
- software engineeringintermediate
- data processingintermediate
- analyticsintermediate
- LLMsintermediate
- GNNsintermediate
- Deep Learningintermediate
- Logistic Regressionintermediate
- Gradient Boosting Treesintermediate
- data miningintermediate
- information retrievalintermediate
- advanced statisticsintermediate
- natural language processingintermediate
- computer visionintermediate
- Pythonintermediate
- mentoringintermediate
- communication skillsintermediate
Required Qualifications
- 8+ years of experience in machine learning and software engineering. (experience)
- Proven expertise in designing, building, scaling, and maintaining production services, with a strong focus on data processing/machine learning/analytics. (experience)
- Hands-on experience with at least one ML model type, such as LLMs, GNNs, Deep Learning, Logistic Regression, or Gradient Boosting Trees. (experience)
- Proficiency in one or more areas, including data mining, information retrieval, advanced statistics, natural language processing, or computer vision. (experience)
- Ability to write high-quality, well-tested code that effectively addresses customer needs. (experience)
- Experience mentoring and developing junior engineers by implementing processes and setting a high standard for excellence. (experience)
- Passion for building an open financial system that connects the world. (experience)
- Exceptional written and verbal communication skills, with a commitment to open and transparent cultural practices. (experience)
Preferred Qualifications
- Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Data Mining, Statistics, or a related technical field. (experience)
- Proficiency with GenAI frameworks/tools and technologies such as Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, and Databricks. (experience)
- Familiarity with model interpretability and responsible AI practices. (experience)
- Expertise in data analysis and visualization. (experience)
Responsibilities
- Explore and apply advanced machine learning techniques, including large language models (LLMs) and deep learning, to solve complex challenges across the organization.
- Collaborate with management and stakeholders to define strategic roadmaps and translate them into actionable quarterly plans.
- Drive project execution by managing priorities, deadlines, and deliverables, leveraging your technical expertise.
- Develop high-quality, well-tested Python code to address critical product and business needs.
- Design scalable, secure systems using state-of-the-art AI/ML technologies and industry best practices.
- Mentor team members on design principles, coding standards, and the adoption of AI productivity tools.
- Troubleshoot and resolve complex technical issues to improve system reliability, scalability, and operational efficiency.
- Ensure the security, scalability, and architectural integrity of feature designs through thorough reviews across teams.
Benefits
- general: bonus eligibility
- general: equity eligibility
- general: benefits (including medical, dental, vision and 401(k))
Tags & Categories
Staff Machine Learning Engineer - Core Automation
Coinbase
Staff Machine Learning Engineer - Core Automation
Job Description
Responsibilities
- Explore and apply advanced machine learning techniques, including large language models (LLMs) and deep learning, to solve complex challenges across the organization.
- Collaborate with management and stakeholders to define strategic roadmaps and translate them into actionable quarterly plans.
- Drive project execution by managing priorities, deadlines, and deliverables, leveraging your technical expertise.
- Develop high-quality, well-tested Python code to address critical product and business needs.
- Design scalable, secure systems using state-of-the-art AI/ML technologies and industry best practices.
- Mentor team members on design principles, coding standards, and the adoption of AI productivity tools.
- Troubleshoot and resolve complex technical issues to improve system reliability, scalability, and operational efficiency.
- Ensure the security, scalability, and architectural integrity of feature designs through thorough reviews across teams.
Required Qualifications
- 8+ years of experience in machine learning and software engineering.
- Proven expertise in designing, building, scaling, and maintaining production services, with a strong focus on data processing/machine learning/analytics.
- Hands-on experience with at least one ML model type, such as LLMs, GNNs, Deep Learning, Logistic Regression, or Gradient Boosting Trees.
- Proficiency in one or more areas, including data mining, information retrieval, advanced statistics, natural language processing, or computer vision.
- Ability to write high-quality, well-tested code that effectively addresses customer needs.
- Experience mentoring and developing junior engineers by implementing processes and setting a high standard for excellence.
- Passion for building an open financial system that connects the world.
- Exceptional written and verbal communication skills, with a commitment to open and transparent cultural practices.
Preferred Qualifications
- Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Data Mining, Statistics, or a related technical field.
- Proficiency with GenAI frameworks/tools and technologies such as Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, and Databricks.
- Familiarity with model interpretability and responsible AI practices.
- Expertise in data analysis and visualization.
Required Skills
- machine learning
- software engineering
- data processing
- analytics
- LLMs
- GNNs
- Deep Learning
- Logistic Regression
- Gradient Boosting Trees
- data mining
- information retrieval
- advanced statistics
- natural language processing
- computer vision
- Python
- mentoring
- communication skills
Benefits
- bonus eligibility
- equity eligibility
- benefits (including medical, dental, vision and 401(k))
Salary Range
$218025 - $256500 USD
Locations
- USA, United States (Remote)
Salary
218,025 - 256,500 USD / yearly
Skills Required
- machine learningintermediate
- software engineeringintermediate
- data processingintermediate
- analyticsintermediate
- LLMsintermediate
- GNNsintermediate
- Deep Learningintermediate
- Logistic Regressionintermediate
- Gradient Boosting Treesintermediate
- data miningintermediate
- information retrievalintermediate
- advanced statisticsintermediate
- natural language processingintermediate
- computer visionintermediate
- Pythonintermediate
- mentoringintermediate
- communication skillsintermediate
Required Qualifications
- 8+ years of experience in machine learning and software engineering. (experience)
- Proven expertise in designing, building, scaling, and maintaining production services, with a strong focus on data processing/machine learning/analytics. (experience)
- Hands-on experience with at least one ML model type, such as LLMs, GNNs, Deep Learning, Logistic Regression, or Gradient Boosting Trees. (experience)
- Proficiency in one or more areas, including data mining, information retrieval, advanced statistics, natural language processing, or computer vision. (experience)
- Ability to write high-quality, well-tested code that effectively addresses customer needs. (experience)
- Experience mentoring and developing junior engineers by implementing processes and setting a high standard for excellence. (experience)
- Passion for building an open financial system that connects the world. (experience)
- Exceptional written and verbal communication skills, with a commitment to open and transparent cultural practices. (experience)
Preferred Qualifications
- Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Data Mining, Statistics, or a related technical field. (experience)
- Proficiency with GenAI frameworks/tools and technologies such as Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, and Databricks. (experience)
- Familiarity with model interpretability and responsible AI practices. (experience)
- Expertise in data analysis and visualization. (experience)
Responsibilities
- Explore and apply advanced machine learning techniques, including large language models (LLMs) and deep learning, to solve complex challenges across the organization.
- Collaborate with management and stakeholders to define strategic roadmaps and translate them into actionable quarterly plans.
- Drive project execution by managing priorities, deadlines, and deliverables, leveraging your technical expertise.
- Develop high-quality, well-tested Python code to address critical product and business needs.
- Design scalable, secure systems using state-of-the-art AI/ML technologies and industry best practices.
- Mentor team members on design principles, coding standards, and the adoption of AI productivity tools.
- Troubleshoot and resolve complex technical issues to improve system reliability, scalability, and operational efficiency.
- Ensure the security, scalability, and architectural integrity of feature designs through thorough reviews across teams.
Benefits
- general: bonus eligibility
- general: equity eligibility
- general: benefits (including medical, dental, vision and 401(k))
Tags & Categories