Be an early applicantLess than 25 applicants

Company

Federato · 6 hours ago

Senior Machine Learning Engineer

United States

Full-time

Remote

Senior Level

$180K/yr - $220K/yr

5+ years exp

Maximize your interview chances

Artificial Intelligence (AI)FinTech

H1B Sponsor Likely

Insider Connection @Federato

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Design and implement scalable machine learning pipelines, optimizing prompt engineering workflows to enhance accuracy and efficiency in submission intake processes across multiple insurance use cases.

Evaluate and benchmark open-source large language models (LLMs), selecting and fine-tuning the most effective ones to address business-specific requirements while maintaining an eye on adaptability and future innovation.

Continuously research and incorporate the latest advancements in prompt engineering and model optimization to refine prompts for precision and relevance, contributing to a robust, cutting-edge ML infrastructure.

Collaborate cross-functionally, serving as a technical lead for junior team members, providing mentorship and guidance to elevate team performance and technical knowledge.

Ensure production-grade deployment standards, emphasizing scalability, reliability, and compliance with insurance data handling policies, balancing rapid iteration with stability.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine Learning EngineeringLarge Language Models (LLMs)ML Pipeline DesignNLP ModelsKubeflowCloud PlatformsPrompt EngineeringModel OptimizationTechnical Mentorship

Required

Proven experience as a Machine Learning Engineer or similar role (at least 5 years), with a strong focus on pipelining LLM models over the last 3 years.

Proven experience in designing, training, benchmarking, and fine-tuning machine learning models, particularly with NLP models and large language models (LLMs) along with familiarity with open-source models is a plus.

Experience in building scalable ML pipelines using tools such as Kubeflow. Knowledge of automating and monitoring ML workflows to ensure consistent model performance in production.

Hands-on experience with cloud platforms, including deploying models, managing cloud resources, and using relevant APIs for data intake, storage, and processing.

Great communication skills with the ability to convey complex findings to non-technical audiences.

Benefits

Stock options

Benefits

Additional perks

Company

Federato

Federato develops a RiskOps platform that uses AI and machine learning to process massive amounts of data for insurance companies.

Founded in 2020

Palo Alto, California, USA

11-50 employees

https://www.federato.ai

H1B Sponsorship

Federato has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2023 (1)

2022 (2)

2021 (1)