Blockchain Jobs in San Francisco, United States (Dec 2025)

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We are looking for a Machine Learning Engineer to join our Data Science and Business Intelligence team. Exploiting da...

Dev Machine Learning React Scala

$39k - $70k* · Senior Fully remote

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Blockchain.com is the world's leading software platform for digital assets. Offering the largest production blockchai...

Data Science Security Senior Scientist

$91k - $96k* · Senior Fully remote

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Blockchain.com is the world's leading software platform for digital assets. Offering the largest production blockchai...

Data Science Scientist Crypto Scikit Learn

$45k - $75k* · Senior Fully remote

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Selected role

Machine Learning Engineer

Blockchain.com CA San Francisco, California, United States

Live

$39k - $70k · Senior Full-time Posted over 3 years ago 6 min read

We are looking for a Machine Learning Engineer to join our Data Science and Business Intelligence team. Exploiting data is core to our business, and in this role, you will have an opportunity to:

Enable world-class user experiences across all our products by developing and deploying ML Infrastructure
Support the organization across a range of areas including experimentation, fraud, market signals, marketing, pricing and many more
Being responsible for the Machine Learning Infrastructure: feature store, data and model version control system, training pipelines, inference serving, logging, scaling systems, etc.

We are looking for a Machine Learning Engineer who can help to develop ML infrastructure to improve how Blockchain.com operates and how we serve our customers.

Middle

WHAT YOU WILL DO

Consistently advance the state of ML for your problem, including setting and executing against roadmaps for 6-month+ timeframes.
Define projects for other engineers to solve and achieve impact based on your direction.
Own the full ML life cycle for a significant new ML product, including its production quality and continued improvements
Complement our data scientists by contributing to a reliable, secure and maintainable modelling framework that can be used to deploy models to production easily
You are a strong advocate for ML excellence
Code deliverables in tandem with Data Scientists

WHAT YOU WILL NEED

Experience with developing end-to-end machine learning pipelines that ensure consistency between development and production environments.
Ability to design ML architectures for scale with site traffic and complexity of features for predictive algorithms.
Care with regards to model and data versioning, resource allocation and scaling, and logging to build optimal systems.
Experience with creating systems that monitor and react to faults in resources, data streams and model responses.

Nice to have

Experience with Airflow or Google Composer
Experiences with python and other programming languages such as Java, Kotlin or Scala
Experience with Spark or other Big Data frameworks
Experience with Kubernetes for data and ML workloads
Experience working with open-source machine learning libraries
2-5 years commercial experience in a related role
Commonly used ML Libraries experience: Xgboost, lgbm, sklearn

Senior

WHAT YOU WILL DO

Consistently advance the state of ML for your problem, including setting and executing against roadmaps for 6-month+ timeframes.
Define projects for other engineers to solve and achieve impact based on your direction.
Own the full ML life cycle for a significant new ML product, including product quality and continued improvements
You are a strong advocate for ML excellence
Code deliverables in tandem with Data Scientists
Complement our data scientists by providing a reliable, secure and maintainable modelling framework that can be used to deploy models to production easily
Play a critical role in helping to set up directions and goals for the team
Build and ship high-quality code, provide thorough code reviews, testing, monitoring and proactive changes to improve stability
You are the one who implements the hardest part of the system or feature

WHAT YOU WILL NEED

Ability to lead/coordinate rollout and releases of major initiatives
Experience with developing end-to-end machine learning pipelines that ensure consistency between development and production environments.
Experience working with distributed storage systems
Ability to design ML architectures for scale with site traffic and complexity of features for predictive algorithms.
Care with regards to model and data versioning, resource allocation and scaling, and logging to build optimal systems.
Experience with creating systems that monitor and react to faults in resources, data streams and model responses.
Experience with MLOps tools for scalable, production-level deployment including past work with feature stores, model hosting and versioning, data versioning, prediction and drift monitoring, and automated remediation

Nice to have

Experience with Airflow or Google Composer
Experiences with python and other programming languages such as Java, Kotlin or Scala
Experience with Spark or other Big Data frameworks
Experience with Kubernetes Engine
Experience working with open-source machine learning libraries
5-8 years of commercial experience in a related role
Commonly used ML Libraries experience: Xgboost, lgbm, sklearn

Staff

WHAT YOU WILL DO

Consistently advance the state of ML for your problem, including setting and executing against roadmaps for 6-month+ timeframes.
Complement our data scientists by designing and implementing a reliable, secure and maintainable modelling framework that can be used to deploy models to production easily.
Define projects for other engineers to possibly solve and achieve impact based on your direction.
Own the full ML life cycle for a significant new ML product, including production quality.
You are a strong advocate for ML excellence.
Code deliverables in tandem with Data Scientists.
Play a critical role in helping to set up directions and goals for the team.
Build and ship high-quality code, provide thorough code reviews, testing, monitoring and proactive changes to improve stability.
You are the one who implements the hardest part of the system or feature.

WHAT YOU WILL NEED

Ability to solve technical problems that few others can do
Ability to lead/coordinate rollout and releases of major initiatives
Experience with developing end-to-end machine learning pipelines that ensure consistency between development and production environments.
Experience working with distributed storage systems
Ability to design ML architectures for scale with site traffic and complexity of features for predictive algorithms.
Care with regards to model and data versioning, resource allocation and scaling, and logging to build optimal systems.
Experience with creating systems that monitor and react to faults in resources, data streams and model responses.
Deep experience with MLOps tools for scalable, production-level deployment including past work with feature stores, model hosting and versioning, data versioning, prediction and drift monitoring, and automated remediation

Nice to have

Experience with Airflow or Google Composer
Experiences with python and other programming languages such as Java, Kotlin or Scala
Experience with Spark or other Big Data frameworks
Experience with Kubernetes for data and ML workloads
Experience working with open-source machine learning libraries
8+ years of commercial experience in a related role
Commonly used ML Libraries experience: Xgboost, lgbm, sklearn

COMPENSATION & PERKS

Competitive full-time salary based on experience and meaningful equity in an industry-leading company
The opportunity to be a key player and build your career at a rapidly expanding, global technology company in an exciting, emerging industry.
Unlimited vacation policy; work hard and take time when you need it.
Crypto bonuses
Performance-based bonuses paid in cash
Apple equipment provided by the company
Awesome office locations and remote working options.

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Blockchain Jobs in San Francisco, United States

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