AI Resume Builder
JOIN NOW Post Job
Meta
AI

Language Research Scientist

Meta · Zürich, ZH, CH

Actively hiring Posted 6 months ago

Responsibilities

  • Design, implement, and optimize LLM-based agents for a variety of applications, leveraging the latest advances in generative AI
  • Apply reinforcement learning algorithms to improve LLM performance, safety, and alignment
  • Integrate models and orchestrations in production
  • Collaborate with cross-functional teams (research, engineering, product) to deploy and evaluate LLM agents in real-world scenarios
  • Analyze and interpret experimental results, iterate on model architectures, and drive continuous improvement
  • Contribute to the broader AI/ML community at Meta through knowledge sharing, code reviews, and technical mentorship
  • Lead and contribute to research and development of post-training methods, including RLHF (Reinforcement Learning from Human Feedback), reward modeling, and other feedback-based approaches

Basic qualifications

  • Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Generative AI, or a relevant technical field
  • Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
  • Good programming skills in Python and familiarity with large-scale distributed training
  • Familiarity to learn new programming languages quickly
  • Can design, implement, and evaluate RL algorithms in production or research settings
  • Problem-solving, communication, and collaboration skills

Preferred qualifications

  • Experience with RLHF, reward modeling, or other LLM post-training techniques
  • Experience working in cross-functional teams
  • Track record of publications or contributions to open-source projects in LLMs, RL, or related areas
  • Familiarity with safety, alignment, and evaluation challenges in generative AI

About the company

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.

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Tags & focus areas

Used for matching and alerts on DevFound
Generative Ai Ai
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support