Senior Full-Stack Engineer, Machine Learning Engineering

Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products by using LLMs that require human fine-tuning, or applying AI to reduce the time associated with manually-intensive tasks like data labeling or finding business insights, Labelbox enables teams to do so effectively and quickly.

Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Walmart, Procter & Gamble, Genentech, and Adobe, as well as hundreds of leading AI teams. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins.

About the Role

Join our team of passionate and world-class engineers to help empower our customers to  harness the power of AI! As a member of the Machine Learning Engineering team, you'll be at the forefront of developing intuitive user-interfaces that fuel the development of cutting-edge AI systems, including multi-modal generative AI and computer vision. 

You'll use your full-stack expertise to collaborate with talented engineers and designers to build elegant, reusable components and construct robust, scalable systems. You'll be a driving force behind our success, balancing groundbreaking innovation with practical implementation to meet the evolving needs of our customers. If  you're passionate about pushing technological boundaries and making a real-world impact, this is your opportunity to shine. Join us and help build the future of AI alignment!

Your Day to Day

• Empower the future of AI interaction: Develop user-friendly interfaces for model inference pipelines, model registry. Enable the development of powerful multi-modal AI models for generative AI by developing interactive chat editors with multimedia support. This involves tackling challenges like integrating diverse data types (text, image, audio, video) and building seamless user experiences around them.
• Be a driving force in a high-impact team: Collaborate with engineers, product managers, and designers to bring features to life, squash bugs, while consistently keeping tech debt in check. 
• Crack the code: Tackle complex technical challenges that demand sharp problem-solving skills and a knack for navigating ambiguous territory. 
• Be a customer champion: Partner with our support team to address customer questions and provide elegant solutions to their challenges. 
• Own your code: Join our support rotation, ensuring our systems run smoothly around the clock. 
• Drive impactful change: Take the initiative to propose and implement process improvements, elevating the efficiency and impact of our engineering team. 
• Document your wisdom: Share your expertise by authoring and reviewing technical documents, guaranteeing the delivery of robust and well-defined solutions.

About You

• 5+ years of full-stack engineering expertise, with a passion for crafting exceptional user experiences on the frontend and building scalable and reliable systems, ensuring a seamless user journey. 
• Proficient in Typescript, Node.js, GraphQL. Comfortable with Python, Kubernetes, and GCP (MySQL, Spanner, GCS, PubSub). You've honed your skills in leveraging these technologies over 3+ years to architect robust and efficient solutions. 
• 3+ years of experience in frontend frameworks such as React/Redux, Angular. Adept at translating designs into responsive and interactive user interfaces.
• Strong ownership mentality, fearlessly pushing boundaries to elevate your team and Labelbox's offerings. Your commitment to customer satisfaction drives you to explore innovative solutions. 
• A self-starter who thrives in a dynamic and agile environment and takes the initiative to get things done. You excel at devising elegant and streamlined solutions for complex challenges. 
• Excel at writing high-quality code with a focus on test coverage and taking a disciplined approach towards timely delivery of commitments.

Nice to Have

• Experience building interfaces for generative AI use cases such as LLM evaluation, metrics for evaluation, quality-control, monitoring, etc.
• Experience building interfaces for model registry, model inference pipelines, etc.
• Experience with NLP techniques.

Engineering at Labelbox

We build a comprehensive platform and end-to-end tool suite for AI system devel