Staff Machine Learning Engineer - Platform (Core Automation)

Unchain Data; United States; À distance; USD 218 000 - 257 000; Plein temps

Avantages offerts par ce poste

Medical, Dental, Vision

401(k)

Résumé du poste

Coinbase seeks a Machine Learning Engineer to design and implement AI infrastructure that boosts productivity and delivers meaningful customer impact. You will work with state-of-the-art ML techniques, including large language models, to solve complex challenges across the organization.

You will collaborate with stakeholders to define strategic roadmaps, translate them into quarterly plans, and ensure secure, scalable production services.

Qualifications

• 8+ years of experience in machine learning and software engineering.
• Hands-on experience with ML models such as LLMs, GNNs, Deep Learning, Logistic Regression, or Gradient Boosting Trees.
• Proficiency in data mining, information retrieval, statistics, NLP, or computer vision.

Responsabilités

• Explore and apply advanced ML techniques, including LLMs and deep learning.
• Collaborate with management to define roadmaps and quarterly plans.
• Drive project execution with priorities, deadlines, and deliverables.

Connaissances

Machine learning

Software engineering

Mentoring

Communication

Problem solving

Formation

Bachelor's/Master's/PhD in CS/ML/Data Mining/Statistics

Outils

Apache Airflow

Spark

Flink

Kafka/Kinesis

Snowflake

Databricks

Description du poste

About Us

At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.

To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems.

Our work culture is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be.

While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.

The Role

The Core Automation Team is a highly driven and innovative group dedicated to developing AI infrastructure and automation solutions that enhance productivity, foster innovation, and create meaningful customer impact across Coinbase. Our mission is to streamline operations for customer support and compliance teams while delivering exceptional customer experiences. As a Machine Learning Engineer on our team, you will play a key role in this transformation, utilizing state-of-the- o *???*

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.

Requirements

• 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.

Nice to Have

• 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.

Compensation

Depending on your work location, the target annual base salary for this position ranges from $218,025 to $256,500 USD. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)).