Be an early applicantLess than 25 applicants

Company

Federato · 3 hours ago

Machine Learning Engineer

United States

Full-time

Remote

Entry Level

$120K/yr - $150K/yr

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

Quickly deploy and test the current LLM-powered pipeline locally for specific customer use cases, making necessary adjustments to ensure alignment with customer requirements, and documenting findings clearly.

Take ownership of deploying product improvements based on customer-specific requests, pushing code and configuration changes to GitHub, and collaborating closely with product and engineering teams for smooth integration.

Build and maintain a repository of prompts for various scenarios that would be leveraged for any prospective customer proof of concept, iterating on these to optimize performance and ensure they are production-ready when needed.

Lead technical PoC projects with prospective customers, showcasing the capabilities of the ML models, addressing their specific needs, and gathering feedback to inform future improvements.

Collaborate with the team to ensure continuous monitoring of deployed models, focusing on improving accuracy and performance within a structured ML framework while learning best practices for pipeline maintenance.

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 EngineeringPythonNLP ModelsPrompt EngineeringLLMsGitCI/CD PipelinesTensorFlowPyTorchScikit-learnPandasNumPyCustomer-facing WorkDeployment Best PracticesCode Collaboration

Required

Proven experience as a Machine Learning Engineer or similar role (at least 6 months of relevant internship experience in a similar role), with a strong focus on building and benchmarking models.

Practical experience through coursework, internships, or personal projects in applying machine learning techniques, ideally with some exposure to NLP models, prompt engineering, and working with LLMs (e.g., via frameworks like Hugging Face, OpenAI)

Familiarity with version control (Git), CI/CD pipelines, and deploying ML models or services locally or in cloud environments. Knowledge of GitHub for collaboration and maintaining codebases is essential

Proficiency in Python for building and testing ML models, with experience using popular ML and data libraries like TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy

Enthusiasm for customer-facing work, including the ability to understand specific use cases and adjust ML models accordingly. They should be proactive in learning deployment best practices and taking responsibility for PoCs and prompt engineering tasks

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)