Senior Full-Stack Engineer, Machine Learning Engineering

Labelbox is the data factory for generative AI, providing the highest quality training data for frontier and task-specific models. Labelbox’s comprehensive platform combines on-demand labeling services with the industry-leading data labeling platform. The Boost labeling service is powered by the Alignerr community of highly-educated experts, who span all major languages and a diverse range of advanced subjects. They are available on-demand to rapidly generate new data for supervised fine-tuning, RLHF, and more. Labelbox’s software-first approach delivers unmatched control and transparency into the labeling process, leading to the generation of high-quality, consistent data at scale.

Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.

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 development. We believe in providing the best user experience at scale with high quality. Our customers use our platform in production environments daily to build and deploy AI systems that have a real positive impact in the world. 

We believe in collaborative excellence and shared responsibility with decision making autonomy wherever possible. We strive for a great developer experience with continuous fine tuning. How we work is one of the cornerstones of engineering excellence at Labelbox.

We learn by pushing boundaries, engaging in open debate to come up with creative solutions, then committing to execution. We continuously explore and exploit new technologies, creating new and perfecting existing techniques and solutions. Making customers win is our North Star.

Excel in a remote-friendly hybrid model.

We are dedicated to achieving excellence and recognize the importance of bringing our talented team together. While we continue to embrace remote work, we have transitioned to a hybrid model with a focus on nurturing collaboration and connection within our dedicated tech hubs in the San Francisco Bay Area, New York City Metro Area, and Wrocław, Poland. We encourage asynchronous communication, autonomy, and ownership of tasks, with the added convenience of hub-based gatherings.

Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.