Senior Backend Engineer, HumanSignal
$140-200k
Data labelling platform for machine learning
Job no longer available
Data labelling platform for machine learning
21-100 employees
Job no longer available
$140-200k
21-100 employees
Company mission
To help data scientists use data to teach ML/AI models how to make the best predictions.
Role
Who you are
- Extensive experience designing and building high-performance and high-scale distributed backend systems, generally supporting cloud SaaS applications
- Experience building applications and services on public cloud platforms (AWS, GCP). Bonus points for data or MLOps systems
- 5+ years of professional experience building application support by REST APIs and web endpoint frameworks (FastAPI, Django)
- Production experience with Python, Java, Go, Kotlin, Scala or Rust languages
- Expert knowledge of database and data warehouse (Postgres, BigQuery)
- Expert knowledge of streaming event and messaging architectures (Spark, Beam, Kafka)
- High user empathy, product-value centric, and a desire to understand and impact product metrics
- A passion and aptitude for impactful communication at a Sr+ SWE IC level, using TDDs, code reviews, presentation, and thoughtful feedback
- BSCS, related degree or equivalent practical experience
What the job involves
- We are looking for someone to leverage their real-world experience building out a scalable platform, APIs, and data systems services
- Collaborate with other backend engineers on new and existing features
- Participate in all aspects of the development process
- Establish standards for style, maintainability, and best practices
- Identify areas of improvement in the code base
- Drive change by being an advocate for improvements
- Provide leadership and mentorship to teammates
- Within 1 week, you'll:
- Setup your development environment, and enhance the self-serve documentation and workflows to ensure it’s pristine and effective
- Meet your buddy, team, key stakeholders and the founders
- Participate in team meetings and get close to the sprint in progress
- Within 1 month, you'll:
- Make multiple production contributions, across small features, enhancements and bug fixes as you ramp up on codebase, systems, workflows, and product
- Give feedback in retrospectives, bringing in your experiences and a desire to build a world class engineering team
- Review multiple pull requests, and leverage your convictions as a software engineer to see design patterns, code style and syntax upheld
- Resolve multiple engineering dependent customer support requests—quickly get to the root cause and resolve complex technical issues
- Within 3 months, you'll:
- Independently drive and fully own development and delivery of complex features, and present on them in company meetings
- Review PRDs and lead creation or review of TDDs,
- Experience and give feedback across a quarterly OKRs cycle, and help the team understand and plan its next quarter commitments
- Continue to engineering team to improve our velocity and predictability
- Contribute to our industry leading Open Source products and community (with over 20K+ users)
- Mentor and guide junior engineers
- Within 6 months, you'll:
- Take the lead and own major features collaborating with other engineers for successful delivery
- Leverage your experience to work closely with Product Management, Engineering and Customer Support staff to identify, document and help resole technical issues and product feature/functionality gaps
- Support and help grow the open source community through your participation in meet-ups, design/code camps and technical speaking engagements
- You will play a key role in shipping highly scalable products and the next evolution in labeling software
- In 1 year, you'll:
- Continue delivering increasingly complex projects
- Play an active role in advancing your career to the next level
Our take
A number of new industries are developing, and winning big, in the slipstream of the AI boom. One of them is data labelling: the process of identifying raw data and tagging it with labels that will provide informative context for the machine model to learn from. It is proving a lucrative business, and HumanSignal is one of a growing number of startups looking to capitalize on this.
HumanSignal’s principal product is Label Studio, a collaborative data labelling solution with a focus on streamlining team management, relevant access, and data security. With industry leaders such as IBM, Nvidia, and Facebook having already adopted this product, it has certainly made a splash thus far.
HumanSignal has substantial funding under its belt but will have to compete with a large number of new data-labelling startups - some of them also enjoying similar early success. With many heralding data labelling as the new “gold rush”, and the industry spreading worldwide as North American businesses outsource labour abroad, the competition looks fierce but the space will be rewarding for those that win out.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
80% employee growth in 12 months
Company
Funding (2 rounds)
May 2022
$25m
SERIES A
Jul 2019
$0.2m
SEED
Total funding: $25.2m
Company benefits
- Work from Anywhere
- Equity Options
- Inclusive Culture & Environment
- Annual Team Offsite
- Time off & Vacation
Company HQ
SoMa, San Francisco, CA
Articles
Leadership
Michael Malyuk
(CEO & Co-Founder)Previously Lead Software Developer at VYou and Cinematique.
Nikolai Liubimov
(CTO & Co-Founder)Previously CTO at Audio Research Group. Since then, has been a Senior Software Engineer at Huawei Technologies, and Yandex.
Max Tkachenko
(Co-Founder)Previously worked as a Freelancer in Photo, Video & Design for over 14 years.
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