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Developer Relations Engineer

Location: San Francisco (flexible/hybrid)

About the Job

As a developer relations engineer at Cleanlab, you’ll help data scientists and engineers learn about data-centric AI and how Cleanlab’s novel technology can help them solve their data, AI, and analytics challenges.

In this dynamic role, you’ll get to write open-source code, publish technical blog posts, make videos and social media content, host events at our office, engage in technical discussions in in-person and online forums/conferences, participate in the data science and machine learning communities, and help identify developer needs.

Who we’re looking for

This role is a mix of data science, software engineering, technical writing, producing content, and community building and engagement. This role is ideal for a multi-talented individual who likes wearing many hats and doing work that deeply engages technical audiences.

We’re looking for someone who has a computer science background, some exposure to machine learning, excellent technical writing skills, and a deep love and understanding of people and communities. Good candidates for this role will already: be active on Github and social media, have a blog, have attended many conferences/hackathons, and know about the latest trends in Data/AI.

Responsibilities

  • Develop software and write technical content in the form of tutorials, highly technical blog posts, demos, and other online content to drive adoption of Cleanlab and engage with the data science and machine learning communities
  • Contribute to educational material such as MIT’s Introduction to Data-Centric AI
  • Keep up with the latest trends in data science and machine learning, reading and participating on Twitter and Reddit, reading arXiv papers, and more
  • Engage with and grow the Cleanlab Slack community, answering technical questions and identifying developer needs
  • Grow Cleanlab’s social media following
  • Promote Cleanlab in developer forums and meetups
  • Represent Cleanlab through speaking engagements at conferences and meetups, both in-person and online

Qualifications

  • A computer science background (e.g., undergrad degree)
  • Familiarity with data science and machine learning
  • Excellent communication skills
  • Excellent technical writing skills
  • Experience participating in online communities, especially developer communities

Benefits

Working at Cleanlab is awesome! Beyond the opportunity to work at a well-funded AI startup with an incredible, friendly founding team of MIT graduates, all full-time employees receive the following:

  • Annual travel stipend
    • Travel enhances our empathy with different cultures and enables us to work together more effectively. It’s how we grow and learn: traveling is an essential part of what makes us human. At Cleanlab, every two months you will receive a reimbursable travel benefit. This is a unique benefit that lets you work from Paris for a week in February, then take a backpacking trip in the Andes for a weekend in March.
  • Premium health insurance (+ dental and vision)
    • We provide a fantastic $4 (we cover the rest) health insurance option. We also provide a $0 deductible 100% coverage premium health care option for those who prefer the best health insurance.
  • Stipend for attending conferences to keep up with the latest innovations in ML and software.
  • Competitive salary (+ equity offering for certain roles), with regular opportunities for a raise if things are going well.

The compensation range for this role is $140,000 to $170,000. The final offer details are determined by several factors including candidate experience/expertise and may vary from the pay range provided.

About Us

Prior to Cleanlab, our founders (3 ML PhDs from MIT) worked at OpenAI, Google, Microsoft, Amazon, AWS, Facebook AI Research (FAIR), Dropbox, Oculus, Palantir, NASA, General Electric, MIT Lincoln Laboratory, MIT, Harvard, and Stanford – at every place we worked we repeatedly encountered the same issue – AI solutions failed to work reliably on real-world, human-centric data due to label errors and poor data quality. So, we spent eight years of PhD research at MIT inventing a new field to solve this problem and after successful pilots with world-leading organizations, Cleanlab emerged.

Everything we do at Cleanlab is guided by our north star – to improve the world’s ML data more easily and quicker than any other solution – enabling AI systems to train more reliably on real-world, messy, error-prone data. We develop next-generation data-centric AI, open-source algorithms and provide no-code SaaS enterprise solutions to help individuals and teams at companies (across all industries) diagnose/fix issues in their datasets and produce more reliable ML models by providing clean labels for training.

While many companies can help store/manage data or develop ML models, there exist few solutions today to improve the quality of existing data, which is the core asset of the modern enterprise. This is where you come in. At Cleanlab, you’ll be able to take ownership of critical projects that pioneer the future of data-centric AI.

We are a hybrid company, with over half of our team (and office) located in San Francisco.

  • Read about the Cleanlab team here.
  • Read how Cleanlab went from MIT PhD research to tech used by Amazon, Google, etc here.
  • See what Google, Tencent, and other Cleanlab users think here.

How to Apply