Full-Time

Nurse Practitioner

Hybrid

Confirmed live in the last 24 hours

Galileo

Galileo

51-200 employees

Platform for improving machine learning models

Data & Analytics
AI & Machine Learning

Compensation Overview

$148k - $160kAnnually

Senior

Greenville, NC, USA

This is a hybrid position, providing care in person and remotely.

Category
Nursing & Allied Health Professionals
Medical, Clinical & Veterinary

You match the following Galileo's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • 5+ years of clinical experience in complex care, chronic care, and primary care as a NP
  • Active Board Certification
  • Innovative and creative leadership qualities
  • Proven experience with successful behavior modification
  • Comfort with basic procedural skills
  • Ability to travel across assigned territory with reliable access to personal transportation
  • Employees in this role must be fully vaccinated with all necessary vaccinations, including a booster for a completed COVID-19 vaccination.
Responsibilities
  • Act as a key PCP on our clinical team, which provides exceptional care to cohorts of Medicare and Medicaid patients, with significant care coordination support from an active, engaged team
  • Deliver primary care in a patient-centric and provider-centric model - in the home, in the clinic, mobile clinic, and through virtual visits. The scope of care includes preventive health, chronic disease management, urgent care, and transitions of care
  • Collaborate, and partner across care team members including social work, behavioral health, virtual urgent care and triage, and clinical sub-specialists
  • Present patients during complex care rounds and solicit interdisciplinary feedback in formulating effective care plans
  • Educate patients on their health conditions and develop care and treatment plans
  • Drive ongoing improvements for our care model, optimizing outcomes while decreasing inefficiency.

Galileo offers a platform that helps machine learning teams enhance their models and lower annotation costs by using data-centric algorithms for Natural Language Processing. It allows teams to quickly identify and fix data issues that affect model performance and provides a collaborative space to manage models from raw data to production. Unlike competitors, Galileo integrates easily with existing tools and focuses on actionability, security, and privacy, while also streamlining the data labeling process. The company's goal is to equip machine learning teams with efficient tools to improve their models and reduce costs.

Company Size

51-200

Company Stage

Series B

Total Funding

$66.2M

Headquarters

San Francisco, California

Founded

2021

Simplify Jobs

Simplify's Take

What believers are saying

  • Galileo raised $45M to enhance AI model accuracy and observability.
  • The Luna EFMs reduce GenAI evaluation costs by 97% and increase speed 11x.
  • Open-source AI models are closing the gap with proprietary models, democratizing AI capabilities.

What critics are saying

  • Rapid AI agent adoption raises concerns about reliability and potential errors.
  • Narrowing performance gap between open-source and proprietary models increases competition.
  • EU regulatory changes could impose new compliance requirements on AI companies like Galileo.

What makes Galileo unique

  • Galileo integrates with existing tools in minutes, enhancing actionability and privacy.
  • It offers a collaborative data bench for tracking models from raw data to production.
  • Galileo's platform auto-detects mis-annotated data and supports bulk labeling in one place.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Disability Insurance

Parental Leave

Flexible Work Hours

401(k) Retirement Plan

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

-2%

1 year growth

-8%

2 year growth

-8%
PYMNTS
Feb 4th, 2025
Open-Source Vs Proprietary Ai: Which Should Businesses Choose?

When deploying generative artificial intelligence (AI), one of the most fundamental decisions businesses face is whether to choose open-source or proprietary AI models — or aim for a hybrid of the two. “This basic choice between the open source ecosystem and a proprietary setting impacts countless business and technical decision, making it ‘the AI developer’s dilemma,’” according to an Intel Labs blog post. This choice is critical because it affects a company’s AI development, accessibility, security and innovation. Businesses must navigate these options carefully to maximize benefits while mitigating risks

VentureBeat
Jan 23rd, 2025
Galileo Launches ‘Agentic Evaluations’ To Fix Ai Agent Errors Before They Cost You

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Galileo, a San Francisco-based startup, is betting that the future of artificial intelligence depends on trust. Today, the company launched a new product, Agentic Evaluations, to address a growing challenge in the world of AI: making sure the increasingly complex systems known as AI agents actually work as intended.AI agents—autonomous systems that perform multi-step tasks like generating reports or analyzing customer data—are gaining traction across industries. But their rapid adoption raises a crucial question: How can companies verify these systems remain reliable after deployment? Galileo’s CEO, Vikram Chatterji, believes his company has found the answer.“Over the last six to eight months, we started to see some of our customers trying to adopt agentic systems,” said Chatterji in an interview. “Now LLMs can be used as a smart router to pick and choose the right API calls towards actually completing a task

Solondais
Oct 16th, 2024
AI observability company Galileo raises $45M to improve AI model accuracy

Galileo Technologies Inc., a provider of enterprise AI observability and assessment platforms, today announced that it has raised $45 million in new funding.

PR Newswire
Oct 15th, 2024
Galileo Raises $45M Series B Funding to Bring Evaluation Intelligence to Generative AI Teams Everywhere

/PRNewswire/ -- Galileo, a leader in generative AI evaluation and observability for enterprises, today announced it raised $45M in Series B funding led by...

VentureBeat
Aug 12th, 2024
Apple’S Toolsandbox Reveals Stark Reality: Open-Source Ai Still Lags Behind Proprietary Models

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Researchers at Apple have introduced ToolSandbox, a novel benchmark designed to assess the real-world capabilities of AI assistants more comprehensively than ever before. The research, published on arXiv, addresses crucial gaps in existing evaluation methods for large language models (LLMs) that use external tools to complete tasks.ToolSandbox incorporates three key elements often missing from other benchmarks: stateful interactions, conversational abilities, and dynamic evaluation. Lead author Jiarui Lu explains, “ToolSandbox includes stateful tool execution, implicit state dependencies between tools, a built-in user simulator supporting on-policy conversational evaluation and a dynamic evaluation strategy.”This new benchmark aims to mirror real-world scenarios more closely. For instance, it can test whether an AI assistant understands that it needs to enable a device’s cellular service before sending a text message — a task that requires reasoning about the current state of the system and making appropriate changes.Proprietary models outshine open-source, but challenges remainThe researchers tested a range of AI models using ToolSandbox, revealing a significant performance gap between proprietary and open-source models.This finding challenges recent reports suggesting that open-source AI is rapidly catching up to proprietary systems