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. 

About the Opportunity:

Label Studio Enterprise is being used by some of the most innovative companies in the world. 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 need to 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 back end services

You would be joining several other backend engineers to collaborate on new and interesting features as well as improving upon existing ones. As a senior member of the team you will participate in all aspects of the development process including story grooming, technical design, coding, code reviews, QA, and delivery. To ensure we are building optimal solutions you will collaborate with Product, front end devs, and other stakeholders to develop new features. The team will look to you to help establish standards for style, maintainability, and best practices. As well as, maintain and advocate for these standards through the feature development and code reviews. We will look to you to identify areas of improvement in the code base and contribute to make it better. Drive change by being an advocate for these improvements. Leaning on your experience you will 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 building high performance backend systems
  • 5+ years of professional experience with Python and Django
  • Expert knowledge of SQL databases (Postgres)
  • Professional experience designing and developing REST APIs
  • Professional experience using Git/Github, JIRA, GitHub Actions
  • Dedication to automation across the board: testing, coding standards, deployment, configuration management, etc
  • You have used CI/CD tools like Bitbucket Pipelines or Jenkins
  • Experience working with Container and Orchestration software (We use Docker & K8s)
  • Self motivated, able to work independently in agile environment
  • BSCS, related degree or equivalent practical experience
  • Knowledge of Machine Learning and specifically MLops is HIGHLY desirable

Within 1 month, you'll:

  • Dig into the codebase with hands on feature development
  • Work with your team to iteratively improve their velocity and quality
  • Utilizing your technical and trouble-shooting skills, quickly get to the root cause of unexpected platform behavior, debug and help resolve complex technical issues.

Within 3 months, you'll:

  • Independently drive and fully own development of complex features
  • Work with engineering leadership to create a back-end/platform technology roadmap
  • Work across the engineering team to improve our velocity and predictability
  • Contribute to our industry leading Open Source products and community (with over 20K+ users)
  • Mentor less experienced colleagues 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 resolve 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

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!

At HumanSignal

While our community and customers enjoy our products, we understand it is our team who make that possible. That is why we want to support you in doing your best work. To explore more about our team please visit the about our team page.

We hope you are interested in our opportunities and encourage you to apply even if you are not sure you fit all of the requirements. When applying please include: A short document covering of your experience & skills, such as a resume or linkedin profile. If you have a cover letter expanding on your background and why HumanSignal is of interest to you, even better, though a cover letter is not required & will not impact your application status. When we receive your application, we’ll get back to you about the next steps.

HumanSignal is an Equal Opportunity Employer. We are committed to building an organization that welcomes diverse backgrounds and lifestyles. Our goal is to create an inclusive work environment that is equitable and where everyone feels they belong. We foster open and transparent communication and a workplace where discrimination and harassment are not tolerated. If you need any accommodations or assistance to make your interviews more accessible please do not hesitate to reach out to us.

We do not discriminate against employees or applicants based on gender identity or expression, sexual orientation, religion, age, race, military/veteran status, citizenship, pregnancy status, or any other differences.

For US based candidates in Colorado and most US remote metro areas our base cash compensation for this role is targeted at $110,000 to $175,000 USD. For candidates in San Francisco and New York metro areas the base cash compensation range is $130,000 to $190,000 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. 

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