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**

As a Machine Learning Support Engineer, you’ll act as the frontline of customer love, utilizing live chat and internal resources to resolve product issues and provide proactive guidance to customers.

**As Labelbox continues to grow, we often have multiple openings for this role. Should your skills and experience align with our requirements and timeline, our team will reach out to you as soon as opportunities become available on this team.**

**Your Day to Day**

- Create great experiences for our customers when they need help. Build trust and advisory relationships with customers to help them better use the product.
- Learn Labelbox's product at a deep level and help customers do the same. Learn what’s happening next with the product, and help customers prepare for the use of new features.
- Go beyond the question being asked; understand how our customers define their own success with the product and help them work toward that success.
- Proactively propose creative solutions to address customers’ business problems and goals.
- Be a voice for our customers during internal discussions and projects at Labelbox. Represent their needs and struggles to help drive our products in a strong direction.
- Monitor and identify trends in customer experiences. Work within the team and with other teams at Labelbox to give customers the information and tools they need to more effectively and efficiently support themselves in the use of the product.

**About You**

- 1+ years experience on a Technical Support team
- BA/BS in Computer Science/Engineering degree
- Proficient in Python
- Experience with Machine Learning a plus
- An ability to navigate and advise on efforts related to complex customer requests or projects, gathering additional human resources for assistance if needed
- Empathy, patience, phenomenal people skills;
- An ability to learn quickly to understand and articulate new technologies and corresponding value propositions
- Outstanding organizational skills and ability to multitask in order to effectively prioritize and manage workflow
- A creative problem solver who isn’t afraid to get their hands dirty
- Ability to quickly pick up a variety of software applications with ease
- Experience with common support software like Intercom, GitHub, Jira, etc

*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 $70,000 - $110,000. 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.

Machine Learning Support Engineer

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**

As the Foundation Models Lead, you will lead research and development of applying foundation models to various real world customer problems. You will be responsible for prototyping and developing production grade tools for fine tuning and alignment with human or AI feedback. Your comprehensive expertise in machine learning, natural language processing, and deep learning, and how various Foundation Models embody and excel at these technologies will be essential in driving the success of our AI initiatives in terms of roadmap definition, architecture decisions and superb execution, delivering products that meet the needs of our customers.

**About You**

- Degree in Computer Science, Machine Learning, or a related field.
- Proven experience in developing and implementing large-scale systems that integrate with Foundation Models for real-world applications.
- Working knowledge of machine learning algorithms, natural language processing, and deep learning frameworks.
- Experience with various types of foundation models and multi-modal models.
- Proficiency in programming languages such as Python, Typescript, or Java.
- Experience working with cloud computing platforms and data processing technologies.
- Excellent communication and collaboration skills.
- Strong creativity, problem-solving ability, attention to detail.

**Your Day to Day**

- Conduct feasibility studies and prototype development for new applications leveraging foundation models.
- Evaluate models best suited for the applications we want to support, implement hosting, inferencing and evaluating these models in our product suite, working closely with the broader engineering and product teams.
- Guide customers and the broader Labelbox community with best practices in AI using Foundation Models through meetings, PoC applications, webinars, blog posts, etc.
- Oversee the adaptation and fine-tuning of foundation models to suit specific application requirements.
- Engage with stakeholders, including customers, to understand their needs, gather requirements, and provide expert advice on AI-driven solutions.
- Monitor the performance of deployed models and implement enhancements and optimizations as needed.
- Stay abreast of industry trends, emerging technologies, and advancements in foundation models and their applications. Analyze, assess and incorporate technologies coming out of various AI research labs.
- Contribute to technical documentation, research publications, blog posts, and presentations at conferences and forums.

**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.

Lead Engineer, Foundation Models

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**

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.

Technical Lead - SDK Development

Labelbox

Labelbox is a data-centric AI platform trusted by world-class organizations to quickly and efficiently launch their initiatives with LLMS, generative AI, and more. Whether your goal is to build AI at low costs and high velocity or use AI technology to automate tasks and find insights, Labelbox can deliver.

Labelbox

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