
_NOTE: this position is for experienced candidates only. If you have less than ~10 years of experience, please see other openings on [http://cleanlab.ai/careers](/careers), where you likely will be better set up for success!_

# At Cleanlab, you’ll get to

- **Engineer a data platform and work on cutting-edge MLOps** with guidance from MIT PhDs who are prominent in systems and ML research.

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

- **Work with the latest tooling and ML models** at a dynamic startup.

# In this position, you will

- Drive the future of our data platform by owning high-priority projects that will increase our platform’s value, resilience, and scalability. You will also make critical technical decisions for our backend, comprising the data ingestion, processing, and query pipelines.
  
- Provide technical leadership to other engineers as you make architectural platform decisions. We work with a modern tech stack, including the latest tooling and ML models, and will look to you to help evolve this further.

- Identify reliability and security risks and design solutions to address them. You will also guide leadership on how to prioritize these initiatives (short and long-term) and decide how they fit into our roadmaps.

- Embrace the start-up chaos! You will help us discover and define how we streamline collaboration with product, sales, and marketing teams to create the best solutions for our current and future customers!

# We are looking for

- Strong software engineering & data platform architecture and engineering skills. You have likely built significant backend distributed systems.

- Multiple years of experience running production code and models in cloud environments. You should be comfortable with the unique challenges of running large software systems at scale.

- Several years of cross-team initiatives in a platform or infrastructure-focused environment. You should have led impactful technical initiatives where first-order concerns include performance, data security, cost efficiency, ease of use, and operability.

- You enjoy and are good at mentoring and coaching other engineers to become even stronger. Teams win!

- This is a senior role. Success is more likely if you have at least 10+ years of real-world experience.


Experienced Cloud Engineer (Data Platform)


# At Cleanlab, you’ll get to

- **Engineer a data platform and work on cutting-edge MLOps** with guidance from MIT PhDs who are prominent in systems and ML research.

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

- **Work with the latest tooling and ML models** at a dynamic startup.

# In this position, you will

- Develop the platform APIs our flagship [Cleanlab Studio](/#solutions) depends on.

- Design, implement, and maintain our cloud infrastructure relating to data access, security and privacy, data processing, storage, and serving to build the platform that provides these APIs.

- Keep up to date with the latest cloud technologies and offerings and how they relate to open-source alternatives to continuously improve our infrastructure. You will guide us on when to buy cloud services vs roll our own.

- Design and implement security best practices and data protection and compliance processes. You’ll help identify potential risks and propose solutions to mitigate them & devise ways to monitor and alert on these risks.

- Collaborate with our product, sales, external vendors and marketing teams to create the best cloud-based solutions for our current and future customers.

# We are looking for

- Strong software engineering & data platform architecture and engineering skills. You have likely built significant backend distributed systems.

- Experience running production code in cloud environments, solving problems at scale.

- Deep understanding of both open-source libraries, frameworks, and systems, and experience deciding when to build from scratch vs use existing solutions.

- Experience with Python beyond scripting (most of our Backend is written in Python).

- Solid understanding of current and future cloud offerings and risks related to security, privacy, data ingestion, processing, and storage.


Backend Platform Engineer


# At Cleanlab, you’ll get to

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

- **Work across the whole stack**, from UI to backend, end-to-end, building highly scalable and distributed solutions.
  
- **Develop new features and infrastructure** to support our rapidly emerging business and project requirements.

- **Work on interesting challenges** --- novel interfaces for data visualization/interpretation and editing raw data directly --- using a modern tech stack at a dynamic startup operating in one of the fastest-growing subfields of data science & AI.

# What we're looking for

As a full-stack software engineer at Cleanlab, you will be building [Cleanlab Studio](/), a user-friendly web app powered by our data-centric ML algorithms. You'll work on everything from scalable backend systems for data ingestion, model training, and data analysis to beautiful and easy-to-use interfaces for data visualization, interpretation, and correction, and improvement of datasets.

No previous ML/AI experience is required, but bonus points if you have previously worked on ML/AI or data platforms.

The ideal candidate has experience building end-to-end solutions, across the software stack, understanding cost/performance tradeoffs. The ability to debug and optimize across the whole stack is essential and likely involves extensive experience with unit and integration testing.

# Responsibilities

- Work closely with designers, cloud engineers, UI/UX designers, and product managers to implement full-stack solutions.

- Deliver innovative, engaging web applications using the latest in both front-end and back-end technologies.

- Collaborate with other engineers to build streamlined systems and help establish a strong engineering culture across the company.

# Qualifications

This is a senior role! Candidates must have at least 6 years of work experience developing full-stack web apps shipping code to production. We use React, JavaScript, Python, Flask, data processing / data science / ML frameworks, Postgres, Docker/Kubernetes, and rely on many AWS services.

# Bonus

- Knowing what a data scientist or ML engineer does with a dataset!


Software Engineer (Full-Stack)


# At Cleanlab you’ll get to

Pioneer novel software systems for 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.

Discover how to best leverage new Generative AI advances for tools that automatically find & fix issues in datasets. The north star of our company is to *use AI to increase the value of Data*.

Work with text, structured/tabular, image/video datasets from companies across diverse industries, and set up large-scale modeling infrastructure at a dynamic startup (0 to 1).


# 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 in MLOps: processing data, deploying and monitoring models, setting up the necessary infrastructure for Data/AI projects.

Up to date on the latest advances in Generative AI (LLMs, LVMs)

# Responsibilities

- Spin up cloud infrastructure for ML projects spanning text, image, and structured/tabular datasets.
- Work on large-scale Data/AI projects with Cleanlab enterprise customers, from inception to production.
- Work as individual contributor tech lead on a ML team of around 5.
- Innovate on new algorithmic techniques to improve a dataset, leveraging the newest Foundation model advances.


# Qualifications

This is a senior role! Candidates must have at least 5+ years work experience in ML. Schoolwork or general data science work does not count, 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:

- PhD in Machine Learning
- Strong research publications or open-source contributions
- Sagemaker, MLflow, Ray
- ELT tools and data cleaning tools
- Cleanlab or other data-centric AI tools
- LangChain and LLMOps stack


Senior ML Engineer


# About the Job

Cleanlab's hacker in residence role blends developer relations/advocacy work with building awesome Data-Centric AI applications and sharing them with the community. You'll help data scientists and AI engineers learn about data-centric AI, and how Cleanlab and other revolutionary technologies like LLMs/LVMs 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](https://help.cleanlab.ai/tutorials/), [highly technical blog posts](/blog/), [demos](https://playground.cleanlab.ai/), 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](https://dcai.csail.mit.edu/)
- 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](/slack/), 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


Hacker in Residence


# At Cleanlab, you'll get to

Cleanlab is looking for sales champions and leaders who are as passionate about building the next great data-centric AI company, as they are about blowing out their numbers every quarter.

# What we're looking for

- Exceeding your number- Winning new enterprise logos (experience selling to F100)
- Forecasting correctly, communicating clearly, aligning brilliantly with the rest of the team
- Not being afraid of being data driven - including using Salesforce/Hubspot and other tools to track your progress
- Managing full sales cycle from prospect to close
- Collaborating with other teams, including sales engineering and sales development

# Qualifications

- A proven track record of driving and closing enterprise deals
- Account planning and execution skills
- Ability to sell C-Level and across both Engineering and AI business units
- Consistent overachievement of quota and revenue goals with a strong W2 track record
- Understands the value of utilizing a strong sales methodology such as MEDDIC when building pipeline and qualifying opportunities 
- Proven consultative sales solution skills, including the ability to articulate a clear, concise return on investment value statement
- Ability to maintain a high level of productivity, manage multiple competing priorities, and work effectively under the pressure of time constraints in a fast-paced, complex, collaborative, and team-oriented environment
- Bachelor's Degree or equivalent


Enterprise Account Executive


# At Cleanlab, you'll get to

Cleanlab is looking for sales champions and leaders who are as passionate about building the next great data-centric AI company, as they are about blowing out their numbers every quarter.

# What we're looking for

- Exceeding your number- Winning new enterprise logos 
- Experience navigating several opportunities (10-20 at any time)
- Forecasting correctly, communicating clearly, aligning brilliantly with the rest of the team
- Not being afraid of being data driven - including using Salesforce/Hubspot and other tools to track your progress
- Managing full sales cycle from prospect to close
- Collaborating with other teams, including sales engineering and sales development

# Qualifications

- A proven track record of driving and closing enterprise deals
- Account planning and execution skills
- Ability to sell C-Level and across both Engineering and AI business units
- Consistent overachievement of quota and revenue goals with a strong W2 track record
- Understands the value of utilizing a strong sales methodology such as MEDDIC when building pipeline and qualifying opportunities 
- Proven consultative sales solution skills, including the ability to articulate a clear, concise return on investment value statement
- Ability to maintain a high level of productivity, manage multiple competing priorities, and work effectively under the pressure of time constraints in a fast-paced, complex, collaborative, and team-oriented environment
- Bachelors Degree or equivalent


Commercial Account Executive


# At Cleanlab, you’ll get to

- **Build novel software products and interfaces for the rapidly growing field of data-centric AI**. Our tools enable data scientists and AI engineers across all industries to effectively diagnose and fix issues in their datasets, thus improving the quality of their business’s core asset.

- **Shape the future of AI workloads** with guidance from MIT PhDs who are prominent in ML research and have pioneered an innovative approach using AI to improve the data itself.

- **Work across the entire organization** at a dynamic startup. Collaborate with: executives, engineering, design, sales, to deliver a product that delights users and helps enterprises succeed in Data/AI projects. 


# In this position, you will

- Provide product ownership and accountability:
  - Drive high quality: be evidence-based and opinionated to ship multiple product features, keeping the product accountable to specifications and a high standard of quality based on what customers value the most

- Sales enablement
  - Triage sales/customer feedback: work with sales team and customers to define specifications in our products/features that optimize for customer success and revenue)

- Engineering enablement
  - Prioritization and product specification: work with engineering team to drive product/feature specifications for engineering that maximize what customers want to pay for

- Design enablement:
  - Product usability: work with design team to make product and feature specs that capture the primary value that engineers/data-scientists want to use and buyers/managers wants to pay for)

- Product marketing and growth enablement:
  - Product growth: support marketing with product details and market interest to enhance growth and top-of-funnel


# We are looking for

- 5+ years working as a Product Manager with high level of ownership.

- Technical skills to understand concepts from AI and Data Science, many users of our product are highly technical.

- Previous work experience on an enterprise software product used via both interactive UX and APIs.
  
- Love the products at Cleanlab and feel genuinely enthusiastic about automating the data side of AI and can visualize clearly what great looks like for our products.

- Bonus: Previous experience at a successful Series A-C startup in SaaS Enterprise/open-source in the Data/AI space and want to do it again, starting as an IC doer with the potential for more senior candidates to have 1-2 headcount in the next 6-12 months.



Senior Product Manager


# At Cleanlab, you’ll get to

- **Serve as the voice of our AI startup** to establish our brand as a top provider of software for Data/AI projects.

- **Tell the world about the rapidly growing field of data-centric AI**. Our team has built the world's most popular software for Data-Centric AI via open-source, and now aims to achieve the same via our SaaS software platform.

- **Craft creative messaging** to communicate why enterprises should not think of Data and AI as separate and help them understand how AI can be used to improve their Data in order to produce better AI.

- **Shape the future of AI workloads** with guidance from MIT PhDs who are prominent in ML research and have pioneered an innovative approach using AI to improve the data itself.


# In this position, you will

- Own the marketing efforts of our early-stage AI startup and our brand.

- Run high-velocity experiments to determine and maximize demand generation for Cleanlab products. Conduct data-driven exploration of market verticals via rapid marketing experiments.

- Craft product marketing content with the help of our AI researchers, designers, and developer relations engineer. Understand and write about Cleanlab data curation, enrichment, and data-centric AI/GenAI products (e.g. to customers, in blogs, to generate top-of-funnel demand).

- Manage our social media accounts, paid advertising/event initiatives, and email campaigns that interface with thousands of users and customers.
  
- Monitor and drive which marketing channels are most effective for product usage, sales, and retention; and implement strategy to capitalize on your findings.


# We are looking for

- 5+ years working in enterprise software Marketing with high level of ownership. Ideal candidates will have worked as PMM in an AI or Data Science company, as well as previous experience in startups (bonus if they have both open-source and SaaS offering).

- Technical skills to produce compelling content for AI engineers and data scientists, with communication skills to produce compelling content for enterprise executives. A love of efficient writing about AI products for generating demand.

- Love reviewing technical content generated by AI researchers/engineers, and adding takeaway, ROI, CTAs to make it market ready for demand generation and aligned with our brand.

- Strong multi-tasking abilities (can work on 6 things a day easily).

- Self-drive, can ideate and own the execution of high velocity marketing experiments (knows the low hanging marketing fruit).

- High grit, resourceful, "get things done" attitude.

- Bonus: Previous experience at a successful Series A-C startup in SaaS Enterprise/open-source in the Data/AI space and want to do it again, starting as an IC doer with the potential for more senior candidates to have 1-2 headcount in the next 6-12 months.


Senior Product Marketing Manager


We hire a select few interns every fall/spring/summer, working on various applied Machine Learning and Data Science projects.

As a small startup, we can only take interns capable of completing high-value projects independently. This means you must at least be in your junior year of college (graduate students preferred). 

Interns must have extremely strong Python skills and collaborative software development experience (Github, CI/CD, etc), as well as extensive coursework in Data Science, Analytics, or Machine Learning. Please link to your favorite project (Github, blogpost, etc), ideally something that showcases your: writing skills, ability to produce graphics/visualizations, coding skills, Data Science knowledge, creativity, and overall desire to use AI to solve impactful problems. 

Internships may be fully remote, but if you prefer to work in an office, we have a nice one in San Francisco.


Careers at Cleanlab

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