What you’ll be doing (ie. job duties):
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.
What we look for in you (ie. job 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.
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.
*Answers to crypto-related questions may be used to evaluate your onchain experience.
Pay Transparency Notice: Depending on your work location, the target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)).