Announcing | TLM (Trustworthy Language Model) for reliable LLM outputs.Learn more.
Cleanlab LogoCleanlab Logo
Try for free
Request demo
Demo

MLOps Engineer

Location: San Francisco (flexible/hybrid)

At Cleanlab you’ll get to

Work on cutting-edge MLOps with guidance from MIT PhDs who are prominent in ML research.

Pioneer novel software systems for the rapidly growing field of data-centric AI. Our tools enable data scientists/engineers (across all industries) to effectively diagnose/fix issues in their datasets thus improving the quality of their business’s core asset.

Work with a modern tech stack (the latest tooling and ML models) at a dynamic startup.

What we’re looking for

Strong software engineering skills and experience productionizing code/models in cloud environments while maintaining the necessary infrastructure. You should be comfortable with large software systems.

Experience working in MLOps: processing data, deploying and monitoring models, etc. We do not require deep knowledge of ML algorithms, but you must have previously worked on many ML and Data projects at companies (across their full life-cycle, not say just in Jupyter).

Responsibilities

  • Develop and maintain cloud infrastructure for a web application that has many users, each with many datasets/models, some of which are quite large.
  • Work on large-scale ML projects with Cleanlab enterprise customers, from inception to production.
  • Collaborate with other engineers to build and maintain large-scale systems and establish a strong engineering culture across the company.

Qualifications

This is a senior role! Candidates must have at least 5+ years work experience in MLOps. Schoolwork or general data science work does not count here, you should have tackled hard MLOps challenges at companies dealing with massive datasets, reliable model serving, cloud infrastructure, etc.

  • Python (pandas, scikit-learn, numpy, Jupyter)
  • PyTorch/PyTorch Lightning, Hugging Face
  • Relational databases
  • AWS
  • Docker
  • Git
  • CI/Testing, e.g. Jenkins

Bonus:

  • Sagemaker, MLflow
  • Databricks, Snowflake, Redshift
  • ELT tools
  • Cleanlab or other data-centric AI tools
  • LangChain

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
    • 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.

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, Wells Fargo, and other Cleanlab users think here.

How to Apply