Technical Lead - SDK Development

Key Skills

Aartificial intelligence, Apache Kafka, API, Argo, AWS, DevOps, Google Cloud Platform (GCP), Kubernetes-K8s, Leadership Skill, Machine learning techniques, Node.js, Python Programming, PyTorch, SDK, Tech Support, TensorFlow, TypeScript

Job Description

About the Role

At Labelbox, we have built an AI systems development platform that is used out-of-the-box via browser-based applications. We also offer a comprehensive programmatic interface to drive the capabilities of the platform, and customize, integrate, and extend it. This synergistic combination of ready-to-use product experiences and flexible programmatic interfaces is one of our core differentiations.

As the Technical Lead for SDK development, your influence and contribution will be essential in ensuring that we offer the best possible interfaces for seamless integration with several user-systems, and enable ease-of-use and extension of the Labelbox platform, programmatically. Providing interfaces that drive systems at scale will unleash the power of AI and make a lasting impact.

You’ll be responsible for leading the definition, development, delivery, support, and future enhancement of our Python SDK, steering its adoption and growth while ensuring it remains at the cutting edge of technological progress and programming best practices. Join us to broaden and amplify programmatic AI systems development.

About You

• 8+ years of experience as either a full-stack or backend engineer
• Strong knowledge of, and experience with, Python
• Expertise and experience in SDK definition and development, with a track record of leading and overseeing successful SDK products/projects
• Proficiency in API development using REST and GraphQL
• You have an ability to own projects from design to implementation, and coordinate across teams of developers and other stakeholders
• You are comfortable with ambiguity and can leverage your experience to make rock-solid engineering and product decisions.
• You appreciate a fast paced environment that takes an iterative approach to product development.

Nice to Have

• Experience with Typescript / Node.js
• Experience with building tools related to machine learning and/or model training
• Experience using ML frameworks like TensorFlow, PyTorch, etc.
• Experience with data ingestion pipelines
• Experience with DevOps technologies (ArgoCD, CodeFresh, Kubernetes, etc.)
• Experience with cloud providers (GCP, AWS)
• Experience in multiple storage systems (Relational Databases, Key-Value Stores, Cloud Buckets, etc.)
• Experience with messaging systems (e.g. Kafka and Google pub/sub)

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.

Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is $170,000 - $215,000. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.

Excel in a Hub-centric Remote Model.

We’re committed to excellence and understand the importance of bringing our talented people together. While we continue to embrace remote work, we’ve transitioned to a Hub-Centric Remote Model with a focus on nurturing collaboration and connection within our dedicated hubs in the San Francisco Bay Area, New York City Metropolitan Area, Miami-Fort Lauderdale Area, and Warsaw, Poland. We encourage asynchronous communication, autonomy, and ownership of your tasks, with the added convenience of hub-based gatherings.

Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice.

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. If you are uncertain about the legitimacy of any communication you have received, please do not hesitate to reach out to us at recruiting@labelbox.com for clarification and verification.