Federato Logo

Federato

Forward Deployed Machine Learning Engineer

Reposted 23 Days Ago
Remote
Hiring Remotely in USA
Mid level
Remote
Hiring Remotely in USA
Mid level
As a Forward Deployed Machine Learning Engineer, you'll build and deploy machine learning models, enhance system performance, and collaborate with Data Science and Engineering teams for effective solutions.
The summary above was generated by AI

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 [email protected]

HQ

Federato San Francisco, California, USA Office

San Francisco, CA, United States

Similar Jobs

12 Days Ago
In-Office or Remote
6 Locations
Mid level
Mid level
Artificial Intelligence • Information Technology • Machine Learning • Software
The role involves solving customer problems by building ML solutions, engaging with various stakeholders, and taking ownership of the outcome through deployment.
Top Skills: JaxPyTorchTensorFlow
12 Days Ago
Remote
USA
70K-137K Annually
Mid level
70K-137K Annually
Mid level
Artificial Intelligence • Healthtech • Software
The Forward Deployed ML Engineer will integrate AI/ML models into clinical software, assist in model fine-tuning, and engage with clients to ensure success in healthcare deployments.
Top Skills: AWSAzureC++DockerGCPKubernetesOciPythonPyTorchTensorFlow
An Hour Ago
In-Office or Remote
76K-200K Annually
Junior
76K-200K Annually
Junior
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Field-sales role to drive territory growth for cardiovascular products by building HCP relationships in-person and virtually, executing territory call plans, using analytics and digital tools, providing compliant clinical education, and collaborating cross-functionally to meet sales objectives and complete administrative duties on time.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account