What will you do at Sweep?

As an Applied Machine Learning Engineer at Sweep, you’ll play a key role in designing and delivering ML-driven solutions that go directly into production. This is a hands-on, engineering-focused role where you’ll collaborate closely with product and backend teams to bring intelligent features to life.

• Build, test, and deploy end-to-end ML systems – from data exploration and prototyping to production-grade deployment

• Write high-quality, maintainable Python code, including backend logic (not just model code)

• Collaborate with product managers and engineers to align ML solutions with user and business needs

• Work with real-world datasets to solve practical problems, focusing on impact and scalability

• Participate in system design discussions, including how cloud infrastructure supports scalable ML

• Explore and integrate Generative AI capabilities where relevant

• Help shape internal ML best practices and contribute to team knowledge-sharing
  

We are looking for someone who:

• Has a strong engineering background – experience as a Software Engineer or Machine Learning Engineer

• Is proficient in Python and has written production-level backend code, not just ML scripts

• Understands and can write SQL; familiarity with JavaScript is a plus

• Has experience working with cloud infrastructure and understands system architecture at scale

• Is curious and up to date with Generative AI tools and frameworks (e.g. Langchain, Langraph, Mastra, etc)

• Is practical and impact-driven – focused on shipping and solving real problems

• Communicates clearly and works well in cross-functional teams

• Has deployed ML models into production environments

• (Nice to have) Has experience with ML Ops, model monitoring, or experimentation platforms

• (Nice to have) Has worked in fast-moving, startup-like environments