Avatar for Labelbox
Labelbox
Actively Hiring
Our mission is to build the best products for humans to align with artificial intelligence
  • B2B
  • Scale Stage
    Rapidly increasing operations
  • Top Investors
    This company has received a significant amount of investment from top investors
  • +4

Senior Full-Stack Engineer, Machine Learning Engineering

Posted: 4 months ago
Visa Sponsorship

Not Available

RelocationAllowed

About the job

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.

About the company

Labelbox company logo

Labelbox

Actively Hiring
Our mission is to build the best products for humans to align with artificial intelligence51-200 Employees
  • B2B
  • Scale Stage
    Rapidly increasing operations
  • Top Investors
    This company has received a significant amount of investment from top investors
  • Valuation $500M+
    This company has a valuation of $500M or more
  • 5.0
    Highly rated
    Labelbox is highly rated on Glassdoor, with 5.0 out of 5 stars
  • 4.7
    Work / Life Balance
    Employees rate Labelbox 4.7/5 on Glassdoor for work / life balance
  • 5.0
    Strong Leadership
    Employees rate Labelbox 5.0/5 on Glassdoor for faith in leadership
Learn more about Labelbox image

Funding

AMOUNT RAISED
$188.9M
FUNDED OVER
5 rounds
Rounds
D
$110,000,000
Series D - Jan 2022+4

Perks

Medical benefits
Health, dental, and vision benefits
Retirement benefit
401(k) retirement plan
Generous parental leave
12 weeks parental leave
Hub-centric Remote Model
Flexible work hours and WFH setup stipend
Generous vacation
Unlimited paid time off
Be a lifelong learner
$1000 yearly educational budget
Intentional in-person gatherings
Company events, team offsites, and annual hackathons.

Founders

Manu Sharma
Co-founder & CEO • 3 years
San Francisco
image
Brian Rieger
Co-founder & COO • 3 years • 7 years
San Francisco
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View the team image