Forward Deployed Machine Learning Engineer

federato· Engineering
Apply Now ↗
🌍 Remote📍 Remote💰 USD 155K–180K

About this role

There's nothing more exciting than transforming an industry that's been stagnant for decades.

Federato is an AI-native platform that’s bringing agentic AI to the full policy lifecycle. We’re aggressively transforming how insurance work gets done, and the world is paying attention: we've raised $180 million, including a $100 million Series D from Goldman Sachs. We have powerful product-market fit, and we're growing fast globally.

You'll get to work on complex problems with one of the most advanced AI teams you'll find anywhere. If you're the person we need, you know that AI bolted onto legacy systems is too weak to matter. That's why we built our platform to be AI-native from day one. That's why you can do here what you can never do at a legacy software company. move fast and prove it, not theorize it. We think from first principles. You’ll work on problems that matter, building software that fundamentally changes how insurance operates.

What You'll Be Doing:

  • Work directly on building, deploying, and iterating on machine learning models and agentic workflow features that address real customer needs
  • Apply ML techniques to improve accuracy and overall system performance, ensuring solutions are robust, reliable, and production-ready for customers
  • Improve, implement, and validate ML models and agentic workflows supporting submission intake, underwriting decision-making, and automation tasks
  • Deploy and adapt autonomous agent behaviors into customer-specific workflows, translating core AI capabilities into practical solutions
  • Develop and maintain evaluation pipelines, monitoring systems, and performance metrics to ensure reliability under evolving production conditions
  • Monitor production systems via logs, metrics, and user feedback to diagnose issues, debug failures, and drive resolution
  • Take end-to-end ownership of problems — implementing fixes or coordinating with engineering and infrastructure teams as needed
  • Partner closely with Data Science and Engineering teams to iterate quickly and deliver high-impact solutions

Who We Hope You Are:

  • Bachelor's or master’s degree in Mathematics, Operations Research, Data Science, Artificial Intelligence, or a related field with foundational knowledge in machine learning, deep learning, and natural language processing.
  • Experience working in a fast-paced, cross-functional environment
  • 2+ years of experience as a Machine Learning Engineer, Applied Scientist, or similar role delivering ML solutions in production
  • Experience working directly with customers or stakeholders to translate business needs into technical solutions
  • Hands-on experience adapting, extending, and deploying ML/LLM systems (including agentic workflows and prompt engineering) in real-world use cases
  • Strong experience with experimentation, evaluation, and monitoring pipelines, including analyzing production logs and debugging systems
  • Experience deploying and iterating on ML systems in cloud environments in collaboration with engineering teams
  • Proven track record of ownership — driving issues through to resolution in production systems

 

Base Salary Range: $155,000 - $180,000
Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above. Total compensation package also includes bonus, stock options, benefits and additional perks. 

Here at Federato, your capabilities are important, but culture fit is essential. We move fast, are eager to listen to our users, take a first principles approach to solving problems, and value learning and the ability to change our minds. Most importantly, we're here to have fun. Our ability to make a difference starts with our people. We would love to work with you! 


We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender expression, sexual orientation, age, marital status, veteran status or disability status. We will provide reasonable accommodation to individuals with disabilities to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at talent@federato.ai

Frequently Asked Questions

What is the salary for the Forward Deployed Machine Learning Engineer role at federato?
The listed salary for this Forward Deployed Machine Learning Engineer position at federato is USD 155K–180K. This is a remote full-time role.
Is the Forward Deployed Machine Learning Engineer job at federato remote?
Yes, this Forward Deployed Machine Learning Engineer position at federato is remote, with team members based in Remote. You can work from home or anywhere in the supported regions.
Which team or department does the Forward Deployed Machine Learning Engineer at federato belong to?
This Forward Deployed Machine Learning Engineer position is part of the Engineering department at federato. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Forward Deployed Machine Learning Engineer position at federato?
Click the "Apply Now" button on this page. You will be redirected to federato's official application portal hosted on greenhouse where you can submit your application directly.
When was the Forward Deployed Machine Learning Engineer job at federato posted?
This Forward Deployed Machine Learning Engineer position at federato was posted on Apr 30, 2026. Apply as soon as possible — early applications are often reviewed first.
Forward Deployed Machine Learning Engineer
federato · 💰 USD 155K–180K
Apply for this role ↗

You'll be redirected to federato's official application page on Greenhouse.