Senior Backend Engineer, Labelbox
Orchestration: Distributed Systems
$190-225k
Data training platform for ML applications
Open for applications
Data training platform for ML applications
101-200 employees
Open for applications
$190-225k
101-200 employees
Company mission
To build the best products for humans to advance artificial intelligence.
Role
Who you are
- Bachelor’s degree in computer science or related field. Advanced degree preferred
- 5+ years of work experience in a software company in backend software engineering, specifically in distributed systems
- Extensive software design and architecture skills in large-scale systems, including previous projects in this area
- Strong grasp of databases, queues, job management, message brokers, in-memory caching, etc
- Previous experience working with APIs using REST and GraphQL
- Knowledge of using NodeJS for backend development. Experience with NestJS is preferred
- Good understanding of memory management and related optimizations in large-scale systems
- Good understanding of, or interest in, the overall Data + AI ecosystem and how it pertains to design and architecture of large-scale AI platforms
- Experience with container orchestration systems such as Kubernetes
- Proficient in data structures and algorithms
- Fluent in programming languages such as Typescript, Java, or Python
- Demonstrated ability to keep up with industry trends and new developments
- Excellent communication and collaboration skills
- Strong sense of ownership
- Thrive in a fast-paced environment with willingness and ability to dive deep
- Comfortable with ambiguity and able to break-down high level requirements into actionable tasks in a methodical manner
- Resourceful and creative problem-solver with an attention to detail who will not hesitate to take initiative and get things done
What the job involves
- As a Senior Backend Software Engineer on the Orchestration engineering team at Labelbox, you will work on the critical distributed software architecture that drives our offerings for data labeling
- You will develop features for orchestration of large-scale workflows using distributed queues, databases, message brokers and job management mechanisms
- You will get to own specific components of this area, and work end-to-end on projects from design to delivery
- You will use your experience and expertise to collaborate cross-functionally with Product, Design and other stakeholders to transform ideas into shipped features and capabilities to drive scale and adoption of our offerings, as well as enable our customers to be successful
- Develop features and capabilities for orchestration of large-scale workflows using distributed queues, databases, message brokers and job management mechanisms
- Collaborate with team members and stakeholders
- Participate in sprint planning, standups and other related activities
- Mentor and guide less experienced engineers while driving initiatives towards completion
- Particulate in supporting the team’s area of ownership by working with the Support organization to help resolve any customer issues
- Stay abreast of industry trends and emerging technologies. Analyze, assess and incorporate relevant technologies and ideas as needed
- Contribute to technical documentation, research publications, blog posts, and presentations at conferences and forums
Our take
Labelbox offers a web service and API helping companies better manage the process of annotating and labeling data used for machine learning (ML). This reduces costly and labor-intensive human data labeling, a major stumbling block for the increasing number of larger companies looking to deploy ML at scale.
Labelbox offers automated labeling as a means of boosting productivity, which puts it in direct competition with Scale AI, a company valued at over $7 billion. Founded in 2018, the relatively young Labelbox will have to find a compelling way of distinguishing itself, such as by addressing the ethical issues faced in data labeling, The company emphasizes that its product addresses the problem of bias by working as a sort of auditable record, and offers quality assurance systems to help identify it.
Labelbox has remained focused on streamlining its capabilities to raise its value in line with the rapidly growing market. The company's global expansion efforts have significantly widened its potential client base, the company has also collaborated with Google to make access to its platform easier.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Jan 2022
$110m
SERIES D
Feb 2021
$40m
SERIES C
Total funding: $188.9m
Company benefits
- Flexible vacation policy (we don't count PTO Days)
- 401k Program
- College savings account
- HSA
- Daily lunches paid for by the company (especially convenient while working from home)
- Virtual wellness and guided meditation programs
- Dog-friendly office
- Regular company social events (happy hours, off-sites)
- Professional development benefits and resources
- Remote friendly (we hire in-office and remote employees)
Company values
- Make Customers Win - We find great pleasure in creating solutions for our customers. By working with us, our customers are at the forefront of industrial machine learning
- Craftsmanship - Craftsmanship is the fine balance between perfection and a solution to the given constraints. To be a craftsman is to be consumed in a problem and to create your best expression of work as a result
- Seek To Understand - The machine learning industry is growing and evolving rapidly as it begins to transform every industry. We must stay humble and embrace that we have so much more to learn. We seek to understand first so that we build the most impactful solutions
Company HQ
Mission District, San Francisco, CA
Articles
Leadership
Brian Rieger
(COO)Began as an Engineering Intern at Hudson Technologies. Co-founded Infinity Aerospace. Was an Aerodynamics Engineer at Boeing. Worked in Data Science for World Fuel Services.
Manu Sharma
(CEO)Masters in Astronautical Engineering from Stanford. Founder & CEO of Nuovo Wind. Founder & CEO of Ardulab/Infinity Aerospace. Worked at DroneDeploy for over 3 years, from Drone Engineer to Product Manager. Was a Product Manager at Planet.
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