Staff Machine Learning Engineer - (Platform)
Coinbase
Staff Machine Learning Engineer - (Platform)
Job Description
Responsibilities
- Define the technical strategy for a portfolio of projects.
- Design and implement models that protect funds of Coinbase users.
- Fine tune LLMs for automated document processing and risk assessment.
- Create real-time ML pipelines that can detect and prevent risks before they materialize
- Work with experts to translate their domain knowledge into ML features and models
- Build explainable ML systems that can justify their risk assessments
- Collaborate with platform teams to deploy models at scale with high availability and low latency
Required Qualifications
- 8+ years of industry experience in Machine Learning (or PhD+5)
- Prior experience working with Payment Risk/Credit Risk/Account Take Over models.
- MS in Machine Learning, Computer Science, other technical field (PhD preferred)
- Strong developer experience with ability to leverage auto-code generation techniques for ML and scalable distributed applications.
- Strong foundation in modern ML techniques (DNNs, transformers, LLMs, classification)
- Experience building and deploying production ML systems at scale.
- Ability to balance ML model complexity with production requirements
- Strong communication skills to work effectively with domain experts
Preferred Qualifications
- Familiarity with regulatory requirements in financial services
- Knowledge of crypto/blockchain technology
Required Skills
- Machine Learning
- Payment Risk/Credit Risk/Account Take Over models
- LLMs
- DNNs
- transformers
- classification
- production ML systems
- auto-code generation techniques
- scalable distributed applications
- 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
- Payment Risk/Credit Risk/Account Take Over modelsintermediate
- LLMsintermediate
- DNNsintermediate
- transformersintermediate
- classificationintermediate
- production ML systemsintermediate
- auto-code generation techniquesintermediate
- scalable distributed applicationsintermediate
- communication skillsintermediate
Required Qualifications
- 8+ years of industry experience in Machine Learning (or PhD+5) (experience)
- Prior experience working with Payment Risk/Credit Risk/Account Take Over models. (experience)
- MS in Machine Learning, Computer Science, other technical field (PhD preferred) (experience)
- Strong developer experience with ability to leverage auto-code generation techniques for ML and scalable distributed applications. (experience)
- Strong foundation in modern ML techniques (DNNs, transformers, LLMs, classification) (experience)
- Experience building and deploying production ML systems at scale. (experience)
- Ability to balance ML model complexity with production requirements (experience)
- Strong communication skills to work effectively with domain experts (experience)
Preferred Qualifications
- Familiarity with regulatory requirements in financial services (experience)
- Knowledge of crypto/blockchain technology (experience)
Responsibilities
- Define the technical strategy for a portfolio of projects.
- Design and implement models that protect funds of Coinbase users.
- Fine tune LLMs for automated document processing and risk assessment.
- Create real-time ML pipelines that can detect and prevent risks before they materialize
- Work with experts to translate their domain knowledge into ML features and models
- Build explainable ML systems that can justify their risk assessments
- Collaborate with platform teams to deploy models at scale with high availability and low latency
Benefits
- general: bonus eligibility
- general: equity eligibility
- general: benefits (including medical, dental, vision and 401(k))
Tags & Categories
Staff Machine Learning Engineer - (Platform)
Coinbase
Staff Machine Learning Engineer - (Platform)
Job Description
Responsibilities
- Define the technical strategy for a portfolio of projects.
- Design and implement models that protect funds of Coinbase users.
- Fine tune LLMs for automated document processing and risk assessment.
- Create real-time ML pipelines that can detect and prevent risks before they materialize
- Work with experts to translate their domain knowledge into ML features and models
- Build explainable ML systems that can justify their risk assessments
- Collaborate with platform teams to deploy models at scale with high availability and low latency
Required Qualifications
- 8+ years of industry experience in Machine Learning (or PhD+5)
- Prior experience working with Payment Risk/Credit Risk/Account Take Over models.
- MS in Machine Learning, Computer Science, other technical field (PhD preferred)
- Strong developer experience with ability to leverage auto-code generation techniques for ML and scalable distributed applications.
- Strong foundation in modern ML techniques (DNNs, transformers, LLMs, classification)
- Experience building and deploying production ML systems at scale.
- Ability to balance ML model complexity with production requirements
- Strong communication skills to work effectively with domain experts
Preferred Qualifications
- Familiarity with regulatory requirements in financial services
- Knowledge of crypto/blockchain technology
Required Skills
- Machine Learning
- Payment Risk/Credit Risk/Account Take Over models
- LLMs
- DNNs
- transformers
- classification
- production ML systems
- auto-code generation techniques
- scalable distributed applications
- 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
- Payment Risk/Credit Risk/Account Take Over modelsintermediate
- LLMsintermediate
- DNNsintermediate
- transformersintermediate
- classificationintermediate
- production ML systemsintermediate
- auto-code generation techniquesintermediate
- scalable distributed applicationsintermediate
- communication skillsintermediate
Required Qualifications
- 8+ years of industry experience in Machine Learning (or PhD+5) (experience)
- Prior experience working with Payment Risk/Credit Risk/Account Take Over models. (experience)
- MS in Machine Learning, Computer Science, other technical field (PhD preferred) (experience)
- Strong developer experience with ability to leverage auto-code generation techniques for ML and scalable distributed applications. (experience)
- Strong foundation in modern ML techniques (DNNs, transformers, LLMs, classification) (experience)
- Experience building and deploying production ML systems at scale. (experience)
- Ability to balance ML model complexity with production requirements (experience)
- Strong communication skills to work effectively with domain experts (experience)
Preferred Qualifications
- Familiarity with regulatory requirements in financial services (experience)
- Knowledge of crypto/blockchain technology (experience)
Responsibilities
- Define the technical strategy for a portfolio of projects.
- Design and implement models that protect funds of Coinbase users.
- Fine tune LLMs for automated document processing and risk assessment.
- Create real-time ML pipelines that can detect and prevent risks before they materialize
- Work with experts to translate their domain knowledge into ML features and models
- Build explainable ML systems that can justify their risk assessments
- Collaborate with platform teams to deploy models at scale with high availability and low latency
Benefits
- general: bonus eligibility
- general: equity eligibility
- general: benefits (including medical, dental, vision and 401(k))
Tags & Categories