Coinbase: Senior Software Engineer - AI Platform Team

Overview of the Role

The Senior Software Engineer position at Coinbase within the AI Platform Team is designed for candidates eager to participate in groundbreaking work that enhances economic freedom through technology. This full-time role allows individuals to engage with some of the most advanced applications of AI in the finance sector. As a member of the team, you will have the opportunity to craft and manage the infrastructure supporting large language models (LLMs) crucial for various teams at Coinbase.

Work Environment

Coinbase promotes a remote-first culture yet incorporates dynamic in-person gatherings termed "surges" on a quarterly basis. This hybrid approach fosters intense collaboration and the ability to solve complex issues collectively. Employees are encouraged to push beyond their limits, contributing to an environment that thrives on innovation and excellence.

Key Responsibilities

In this position, you will be tasked with several essential responsibilities including:

• Architecture and Delivery Ownership: You will lead the architectural design and the successful delivery of core platform systems, such as the LLM Gateway which integrates over 60 models, alongside features like auth, PII redaction, and cost optimization.
• Knowledge Base Infrastructure: Your role involves driving the design of a Knowledge Base infrastructure aimed at linking data sources with auto-provisioned databases, ensuring they are easily queryable by AI agents.
• AI FinOps Leadership: You will oversee the implementation of AI FinOps capabilities, focusing on spend attribution, governance, and optimizing costs associated with AI workloads across the organization.
• Cross-Functional Partnerships: Develop collaborations across various departments, including engineering, security, legal, and product management. Engaging with external partners in frontier labs and prominent cloud providers will also be a part of your responsibilities, enabling the development of impactful platform capabilities.
• Tooling and Evaluation: You will build evaluation and observability tools that aid in measuring the performance of models and enable continuous improvement of agents.
• Applied AI Strategy: As an integral part of the applied AI strategy, you will embed with teams focused on building production agents, leveraging both fine-tuning methodologies and traditional machine learning techniques where advantageous.

Required Skills and Experience

Candidates are expected to possess a robust skill set and experience to qualify for this role:

• Proven Software Engineering Experience: A minimum of 5 years of software engineering expertise, specifically within ML/AI infrastructure, LLM systems, or distributed platform services at scale.
• Leadership in Technical Initiatives: Demonstrated capacity to lead numerous initiatives from conception to deployment with tangible impacts across platforms.
• Technical Proficiency in LLMs: Deep knowledge of orchestration patterns for LLMs, agent frameworks, and vector databases, along with experience in model serving architectures across various providers.
• Cross-Functional Collaboration Skills: Evidence of successful partnerships with security, legal, and product teams to deliver production-grade AI systems.
• Programming Fluency: Strong command of Python and at least one systems programming language like Go, Rust, or C++. Experience in designing APIs, microservices, and managing runtime environments is essential.
• Responsible Generative AI Usage: Candidates must understand how to utilize generative AI responsibly, ensuring the maintenance of human oversight to yield business-ready outputs.

Salary and Compensation

The salary for this position is competitive, with a base salary range between $186,065 and $218,900 USD depending on the applicant's location. In addition to the base salary, the overall compensation package may include equity, bonuses based on performance, and a variety of benefits such as medical, dental, vision, and a 401(k) plan.

Equal Opportunity Employer

Coinbase is committed to fostering a diverse workplace, welcoming applicants from all backgrounds. Their hiring policies ensure that all candidates receive fair consideration regardless of race, color, nationality, religion, gender, sexual orientation, gender identity, disability, or veteran status.

Application Process

Candidates interested in applying for the Senior Software Engineer position can submit up to three applications within a six-month timeframe. Coinbase emphasizes a transparent application process, with additional resources to help candidates understand their rights and ensure a respectful recruitment experience.

In conclusion, this role not only provides a chance to work with cutting-edge technology but also aims to redefine the future of financial services through innovative AI applications. For passionate and skilled software engineers, this is an opportunity to make a significant impact in a rapidly evolving industry.

This job offer was originally published on weworkremotely.com