Full-Time

Licensed Clinical Social Worker

Posted on 3/11/2025

Galileo

Galileo

51-200 employees

Platform for improving machine learning models

Compensation Overview

$70k - $95kAnnually

Junior, Mid

Syracuse, NY, USA

Hybrid model with 60% field-based care and 40% remote work.

Category
Nursing & Allied Health Professionals
Medical, Clinical & Veterinary
Requirements
  • LCSW (preferred) or LMSW
  • 1-3 years of post-master’s clinical experience in behavioral health, integrated primary care, or community-based settings
  • Experience working with serious mental illness (SMI), substance use disorders (SUDs), and co-occurring conditions
  • Strong skills in psychosocial assessments, crisis intervention, and treatment planning
  • A collaborative mindset—comfortable working alongside medical providers, care coordinators, and community partners
  • A solution-focused, proactive approach to helping patients navigate care barriers
  • A high level of clinical judgment, adaptability, and organizational skills
Responsibilities
  • Conduct comprehensive psychosocial evaluations to understand behavioral health needs, mental status, and social determinants affecting care
  • Provide short-term, evidence-based interventions (Motivational Interviewing, Critical Time Intervention, Trauma Informed Care) to help patients manage mental health challenges
  • Offer timely crisis intervention, coordinating higher levels of care when needed
  • Help patients navigate community services for social support, housing, substance use treatment, and more
  • Serve as a trusted resource for patients, families, and healthcare providers, offering guidance on behavioral health conditions and treatment pathways
  • Work alongside primary care providers, health advocates, and community resources to ensure patients receive comprehensive, well-integrated care
  • Maintain clear, compliant clinical records and contribute to ongoing quality improvement efforts
Desired Qualifications
  • Experience with serious mental illness (SMI), substance use disorders (SUDs), and co-occurring conditions

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 empower machine learning teams to improve their models efficiently through a subscription-based service.

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

  • Integration with AGNTCY enhances platform interoperability, attracting more enterprise clients.
  • 'Agentic Evaluations' positions Galileo as a leader in AI agent reliability.
  • $45M Series B funding accelerates product development and market reach.

What critics are saying

  • Rapid AI agent adoption raises concerns about reliability and potential errors.
  • Narrowing performance gap between proprietary and open-source models increases competition.
  • AGNTCY development may pressure Galileo to adapt to new interoperability standards.

What makes Galileo unique

  • Galileo integrates quickly with existing tools, enhancing actionability, security, and privacy.
  • It offers a collaborative data bench for efficient model tracking and fixing.
  • Galileo's platform auto-detects mis-annotated data and supports bulk labeling.

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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

1%

1 year growth

-8%

2 year growth

-7%
VentureBeat
Mar 6th, 2025
A Standard, Open Framework For Building Ai Agents Is Coming From Cisco, Langchain And Galileo

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. One goal for an agentic future is for AI agents from different organizations to freely and seamlessly talk to one another. But getting to that point requires interoperability, and these agents may have been built with different LLMs, data frameworks and code.To achieve interoperability, developers of these agents must agree on how they can communicate with each other. This is a challenging task. A group of companies, including Cisco, LangChain, LlamaIndex, Galileo and Glean, have now created AGNTCY, an open-source collective with the goal of creating an industry-standard agent interoperability language. AGNTCY aims to make it easy for any AI agent to communicate and exchange data with another.Uniting AI Agents“Just like when the cloud and the internet came about and accelerated applications and all social interactions at a global scale, we want to build the Internet of Agents that accelerate all of human work at a global scale,” said Vijoy Pandey, head of Outshift by Cisco, Cisco’s incubation arm, in an interview with VentureBeat. Pandey likened AGNTCY to the advent of the Transmission Control Protocol/Internet Protocol (TCP/IP) and the domain name system (DNS), which helped organize the internet and allowed for interconnections between different computer systems. “The way we are thinking about this problem is that the original internet allowed for humans and servers and web farms to all come together,” he said

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...