About the role

Aplyr's Quick Take

This role is about building and deploying machine learning models to improve insurance workflows and decision-making. You'll be hands-on, working directly with ML techniques and collaborating with data science and engineering teams. It's an individual contributor position focused on practical solutions for customer needs.

Good fit

Ideal candidates have a strong background in machine learning, data science, or a related field, with experience in deploying models in production. A proactive, problem-solving mindset and the ability to work closely with cross-functional teams will help you thrive here.

Worth noting

The company is well-funded by notable investors, which could offer stability and growth opportunities. However, the role may involve a significant amount of debugging and troubleshooting in production environments.

Federato 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 talent@federato.ai

Skills & Tags

go machine learning ai data product sales

Aplyr's read

Federato leverages AI to transform insurance underwriting, attracting professionals keen on innovation in data analytics and decision-making processes.
Synthesized from recent postings & public sources

What's promising

•Federato's AI platform enhances underwriting efficiency, appealing to tech-savvy insurance professionals.
•The company has a clear focus on data-driven decision-making, which is crucial in modern insurance.
•Recent hiring in diverse roles indicates growth and expansion, particularly in tech and sales.

What to watch

•The niche focus on insurance tech may limit broader career opportunities.
•Rapid expansion could strain resources and affect company culture.
•Limited public information about long-term financial stability and profitability.

Why Federato

•Federato integrates advanced AI specifically for insurance underwriting, setting it apart from generalist tech firms.
•The company's platform directly addresses inefficiencies in traditional insurance processes.
•Federato's focus on forward-deployed engineering roles reflects a commitment to client-specific solutions.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Federato

Federato

federato.ai

View company

Federato is an AI-driven platform that helps insurance companies optimize their underwriting processes and improve decision-making through data analytics.