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Federato

engineering opportunity

Forward Deployed Machine Learning Engineer

You will build, deploy, and iterate on machine learning models and agentic workflows to address customer needs in the insurance sector. You will also monitor production systems, diagnose issues, and collaborate with engineering teams to ensure high-impact, reliable solutions.

United StatesremoteFULL_TIME

Posted

About the role

What will you do at Federato?

Federato [https://www.federato.ai/] is on a mission to defend the right to

efficient, equitable insurance for all. We enable insurers to provide affordable

coverage to people and organizations facing the issues of today - the climate

crisis, cyber-attacks, social inflation, etc. Our vision is understood and well

funded by those behind Salesforce, Veeva, Zoom, Box, etc.

Federato is the only AI-native platform that spans the full policy lifecycle and

changes the way insurance work gets done. Better decisioning is built-in, not

bolted on: insurers' unique portfolio goals, strategies, rules, and appetite are

part of the workflow so underwriters win the right deals, faster. From the

moment a submission hits an underwriter’s inbox, AI is put to work, triaging

submissions with a focus on high-appetite business, delivering real-time

feedback on the portfolio, and consolidating workflows into a single proven

system. Federato drives better business outcomes.

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 [email protected]

[[email protected]]

Which skills does this role require?

Machine learningDeep learningNatural language processingLLM systemsAgentic workflowsPrompt engineeringPythonCloud environmentsData scienceModel deploymentPerformance monitoringDebuggingProduction systemsMathematicsOperations researchStakeholder managementMachine LearningDeep LearningNatural Language ProcessingLLMAgentic WorkflowsPrompt EngineeringInsuranceAI-nativeCloudData ScienceOperations ResearchProduction MonitoringUnderwritingAutomationSoftware EngineeringInfrastructureCross-functionalPortfolio ManagementLLMsA/B TestingSalesforce

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