The power of prediction starts with HumanSignal. We build software that helps people do what only they can do – give meaning
Data fills our modern world. It flows prolifically inside organizations, customer interactions, through product usage, environmental research, healthcare imaging, and beyond. What if we could use any of that historical data to predict the future? The fact is, in most cases we can make predictions through Machine Learning and AI, but to do so in a meaningful and impactful way, historical data needs to be accurate, comprehensive, and absent of bias.
In order to make the best predictions, we believe internal teams with domain expertise should be responsible for annotating and curating data. It's called data labeling, and it’s a process of real people giving meaning to the information they see on the screen. HumanSignal was founded to take data labeling to the next level.
We believe that data labeling is a team sport. Data scientists, subject matter experts, engineers, operations, and annotators must work collaboratively to ensure quality results and an efficient process. That’s why we created Label Studio, which has quickly become the most popular open source data labeling platform with a 250K+ users around the world and millions of labeled samples, alongside a community of thousands of data scientists sharing knowledge and working to advance data-centric AI.
In late spring 2022, HumanSignal raised $25 million in Series A funding, bringing our total funds raised to $30 million from notable investment partners Redpoint Ventures, Unusual Ventures, Bow Capital, Swift Ventures, as well as angel investors.
HumanSignal is a fully distributed organization with people all over the world. We have team members in North America, Europe, and South America across 6 countries.
Sr. SWE (Distributed Systems)
HumanSignal builds software that helps people give meaning to data. We believe that data labeling is fundamentally a human effort in guidance, orchestration and targeted feedback with AI knowledge sources to produce deeply meaningful actionable data context in real-world production applications. We believe such ability should be open, accessible and practical for everyone in society. We believe in humans.
We’re growing engineering to support delivering novel product work in a data labeling automation platform powered by GenAI and agents. We’re looking for the next group of passionate and talented engineers who desire to join and grow alongside us in our mission to build and deliver software that democratizes everyone's ability to harness these technologies.
About the Opportunity:
Label studio Label Studio Enterprise is being used by some of the world's most innovative companies.
With the growth of our user base it is critically important that we continue to lead the way by quickly providing new business value. Additionally, we must ensure that our platform is scalable and reliable. To do this, HumanSignal is looking for a Senior Back End Engineer. 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.
If this opportunity sounds intriguing and you're drawn to engineering challenges, have a strong desire to make a big impact as part of a small, agile team, in an exciting space, we'd love to talk to you.
What You'll Bring:
- 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
Languages, Frameworks, and Technologies We Use:
Python, Django, Django Rest Framework, JS, Typescript, React, OpenAI API, Spark, BigQuery, Kafka, Jest, Cypress, AWS, kubernetes, Postgres & Redis
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
At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $140,000 to $200,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.
It is an exciting time at HumanSignal, we are a growing startup and at this stage we are constantly evolving. While we have put a lot of thought into your first and most important initiatives, it’s only an example and something we will work on together. We're always learning and growing, so like us this role will evolve and expand. We hope that this opportunity sounds exciting to you and that you consider joining us on our journey!
Top Skills
What We Do
HumanSignal (formerly known as Heartex) enables data science teams to build AI models with their company DNA. With the emergence of generative AI, it’s more important than ever to build highly differentiated models by guiding foundation models with proprietary data and human feedback. Creators of Label Studio, the most popular open source data labeling platform, HumanSignal enables data scientists to develop high quality datasets and workflows for model training, fine tuning and continuous validation.
Today, the Label Studio open source community has more than 250,000 users who have collectively annotated more than 100 million pieces of data. Label Studio Enterprise is available as a cloud service with enhanced security, automation, quality review workflows, and performance reporting, used by leading data science teams including Bombora, Geberit, Outreach, Wyze, and Zendesk.
