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Full Time Meta Health Jobs (NOW HIRING)

Meta

Product Manager

San Francisco, CA

$205K/yr

This represents different full-time roles across Meta. Product Manager Responsibilities: * Is the ... team health * Understand Meta's strategic and competitive position and deliver products that are ...

Meta

Product Manager

Burlingame, CA · On-site

$205K/yr

This represents different full-time roles across Meta. Product Manager Responsibilities: * Is the ... team health * Understand Meta's strategic and competitive position and deliver products that are ...

Meta

Product Manager

New York, NY

$205K/yr

This represents different full-time roles across Meta. Product Manager Responsibilities: * Is the ... team health * Understand Meta's strategic and competitive position and deliver products that are ...

Meta

Product Manager

Bellevue, WA · On-site

$205K/yr

This represents different full-time roles across Meta. Product Manager Responsibilities: * Is the ... team health * Understand Meta's strategic and competitive position and deliver products that are ...

Meta

Product Manager (Leadership)

New York, NY

$249K/yr

At Meta, we're shaping innovative experiences in service of giving people the power to build ... This represents different full-time roles across our product suite. Product Manager (Leadership ...

Meta

Product Manager

Sunnyvale, CA

$205K/yr

This represents different full-time roles across Meta. Product Manager Responsibilities: * Is the ... Drive product development with teams of engineers and designers, while maintaining team health

Meta

Product Manager (Leadership)

Menlo Park, CA

$249K/yr

At Meta, we're shaping innovative experiences in service of giving people the power to build ... This represents different full-time roles across our product suite. Product Manager (Leadership ...

Meta

Product Manager (Leadership)

San Francisco, CA · On-site

$249K/yr

At Meta, we're shaping innovative experiences in service of giving people the power to build ... This represents different full-time roles across our product suite. Product Manager (Leadership ...

Meta

Technical Program Manager, ASIC

Menlo Park, CA · On-site

$168K - $234K/yr

... Meta's family of apps. This is a full-time position reporting to the Group Technical Program ... health decisions, or related medical conditions), sexual orientation, gender identity, gender ...

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Full Time Meta Health information

What is a full time Meta Health?

A Full Time Meta Health position typically refers to a full-time job at Meta (formerly Facebook) within the Health division. Employees in these roles work on technology and solutions related to healthcare, such as data analysis, product management, engineering, or research to improve health outcomes. The position usually involves collaborating with cross-functional teams to develop tools for healthcare providers, researchers, and users, ensuring compliance with regulations and privacy standards. Working full time means you are expected to work the standard number of hours per week, typically 40, and receive full employee benefits.

What types of interdisciplinary collaboration can I expect in a full time Meta Health role?

In a Full Time Meta Health position, you'll often work closely with a diverse team that may include physicians, data scientists, software engineers, and public health experts. Collaboration is integral, as projects typically involve integrating healthcare data, developing digital health solutions, or supporting research initiatives. You'll participate in regular team meetings to align on project goals and contribute your expertise to solve complex healthcare challenges. This environment provides valuable opportunities to learn from various disciplines and expand your professional network.

What are the key skills and qualifications needed to thrive as a full time Health Data Analyst at Meta, and why are they important?

To thrive as a Full Time Health Data Analyst at Meta, you typically need a strong background in data analysis, statistics, and public health, often supported by a relevant degree such as in data science, biostatistics, or epidemiology. Proficiency in analytical tools like SQL, Python, R, and data visualization platforms such as Tableau is essential, along with experience in handling health-related datasets and compliance with data privacy regulations. Strong communication, problem-solving skills, and the ability to collaborate across multidisciplinary teams set top candidates apart. These capabilities are crucial for generating actionable health insights, ensuring data integrity, and driving impactful decisions in a complex, fast-paced tech environment.
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Full Time Meta Health jobs near you
Infographic showing various Full Time Meta Health job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, 75% Full Time, 17% Part Time, and 6% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.

Visiting Scholar - Post Training & Research (Discovery AI Lab)

Menlo Park, CA • On-site

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$219K - $301K/yr

Full-time

Posted 28 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

Job description

Discovery AI Lab is pioneering large language model (LLM) technologies across the full ML lifecycle - pre-training, mid-training, and post-training - to replace traditional recommendation pipelines with generative AI. Our work spans preference alignment and reinforcement learning for recommendation systems, self-improving agentic AI, and efficient training and inference at scale. We publish at top venues (NeurIPS, ICML, ICLR, RecSys) while shipping research directly into products that serve billions of users. We are seeking a Visiting Scholar to join the team for a 12-month, full-time research engagement. This role offers the opportunity to lead cutting-edge research embedded within a world-class team, with access to Meta-scale infrastructure, data, and compute.
Responsibilities
Lead research on post-training algorithms for generative recommendation systems, including preference alignment methods (e.g., DPO, GRPO, SimPO) adapted for multi-objective recommendation signals.
• Design and develop self-improving agent frameworks that leverage multi-agent collaboration, LLM self-correction, and continuous-learning loops.
• Advance efficient inference techniques - including quantization, compression, and distillation - for large-scale generative and Mixture-of-Experts recommendation models.
• Collaborate with research scientists and engineers to translate research into production-ready systems at Meta scale.
• Mentor research scientists and engineers on the team, upleveling internal capabilities in post-training and agentic AI.
Minimum Qualifications
• PhD in Computer Science, Machine Learning, Natural Language Processing, or a related field
• Active faculty appointment or equivalent research position at a university or research institution
• Demonstrated publication record at top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, RecSys)
• Expertise in one or more of: post-training methods (RLHF, preference optimization, reward modeling), large language models, or agentic AI systems
• Experience conducting research in collaborative, team-based environments
• Available for a full-time, 12-month on-site or hybrid engagement
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Preferred Qualifications
• Tenured or tenure-track faculty position
• Research focus at the intersection of LLMs and recommendation systems
• Experience with reinforcement learning for language models or multi-agent systems
• Published work on model compression, quantization, or efficient inference for large-scale models
• Prior industry research experience (internship or collaboration) with production ML systems
• Track record of mentoring graduate students or junior researchers
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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