Applied Machine Learning Engineer

Reposted 14 Days Ago
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Tel Aviv
In-Office
Mid level
Sales • Software
The Role
As an Applied Machine Learning Engineer, you'll design and deploy ML systems, write production-grade Python code, and collaborate with teams to align ML solutions with business needs.
Summary Generated by Built In
Who are we?

Sweep is the agentic layer for enterprise systems where teams and metadata agents plan, change, and govern systems with speed and confidence.

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

About Sweep:

As a fast-growing, venture-backed startup, we are proud to be supported by top investors like Insight Partners and Bessemer Venture Partners. With teams in New York, Portugal, and Tel Aviv, we are a passionate, success-driven group that thrives on collaboration and innovation.

Join us to be part of a dynamic, people-first community where we tackle complex challenges, take smart risks, and celebrate each other's successes. Learn more about our mission and culture on our About page https://www.sweep.io/about.

Top Skills

Cloud Infrastructure
Generative Ai
JavaScript
Python
SQL
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The Company
HQ: New York, NY
30 Employees
Year Founded: 2021

What We Do

Sweep enables you to customize and scale any Salesforce configuration - without the dev time.

Create, visualize and manage your CRM processes, rules, and automations visually while Sweep constructs an optimized backend Salesforce infrastructure.

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