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Home›Jobs›Labelbox›Machine Learning Support Engineer
Labelbox

About Labelbox

Transforming data labeling for machine learning success

🏢 Tech👥 101-200 employees📅 Founded 2017📍 Mission District, San Francisco, CA💰 $188.9m⭐ 3.6
B2BArtificial IntelligenceInternal toolsMachine LearningSaaS

Key Highlights

  • Raised $188.9 million in Series C funding
  • Headquartered in Mission District, San Francisco, CA
  • Offers automated labeling to enhance productivity
  • Focus on ethical data labeling and bias reduction

Labelbox is a leading data training platform for machine learning applications, providing a web service and API that streamlines the annotation and labeling process for companies. Founded in 2018 and headquartered in the Mission District of San Francisco, Labelbox has raised $188.9 million in fundin...

🎁 Benefits

Labelbox offers a flexible vacation policy without counting PTO days, a 401k program, and a health savings account (HSA). Employees enjoy daily lunche...

🌟 Culture

Labelbox promotes a culture of innovation and ethical responsibility in AI, focusing on addressing bias in data labeling. The company emphasizes produ...

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Labelbox

Machine Learning Support Engineer

Labelbox • San Francisco Bay Area

Posted 2w agoMid-LevelMachine learning support engineer📍 San francisco
Apply Now →

Overview

Labelbox is seeking a Machine Learning Support Engineer to help shape the future of AI by building critical infrastructure for AI models. You'll work in a high-impact environment focused on innovation and technical excellence.

Job Description

Who you are

You have a strong background in machine learning and support engineering, with a passion for AI development. You thrive in high-impact environments and are eager to take on expanded responsibilities quickly. Your technical expertise allows you to collaborate effectively with industry leaders and contribute to cutting-edge AI solutions. You are committed to continuous learning and enjoy solving complex problems at the frontier of AI. You understand the importance of quality control systems and workflow automation in producing high-quality training data at scale. You are a proactive individual who takes ownership of your work and delivers impactful results.

What you'll do

In this role, you will be responsible for shaping the future of AI by supporting the infrastructure that powers breakthrough AI models. You will collaborate with research labs and enterprises to ensure the successful implementation of data-centric approaches fundamental to AI development. Your work will involve engaging with various teams to enhance annotation tools and workflow automation processes. You will also play a key role in connecting AI teams with skilled annotators and domain experts, facilitating flexible scaling of projects. As part of a dynamic team, you will contribute to the continuous growth and innovation of AI solutions at Labelbox.

What we offer

Labelbox provides a unique opportunity to work in a high-impact environment that operates like an early-stage startup. You will have the chance to grow your career directly tied to your contributions and be part of a team that celebrates ownership and rapid execution. The company fosters a culture of continuous learning, ensuring that you are surrounded by curious minds solving complex problems. You will have clear ownership of your responsibilities and the opportunity to make a significant impact in the AI development landscape.

Interested in this role?

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