Research Engineer, Language - Generative AI

Meta; San Francisco (CA); On-site; USD 70,000 - 208,000; Full time

Job summary

An innovative technology company is seeking a Research Engineer in Generative AI to advance the state of large language models. This exciting role involves designing cutting-edge methods and tools, contributing to impactful experiments, and collaborating with a diverse team of experts. The ideal candidate will have a strong background in machine learning and NLP, with a passion for pushing the boundaries of AI research. Join a team that values creativity and innovation, and be part of shaping the future of technology beyond traditional boundaries.

Benefits

Equity

Health Benefits

Flexible Work Hours

Remote Work Options

Professional Development

Wellness Programs

Paid Time Off

Retirement Plans

Parental Leave

Free Snacks

Qualifications

• Experience in machine learning, deep learning, and NLP.
• Programming experience in Python with frameworks like PyTorch.

Responsibilities

• Design methods and tools for large language models.
• Contribute to experiments and organize results.
• Work with a globally distributed team.

Skills

Machine Learning

Natural Language Processing (NLP)

Generative AI

Python

Deep Learning

Data Processing

Reinforcement Learning

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

PhD in AI or related fields

Tools

PyTorch

Job description

Research Engineer, Language - Generative AI

Join to apply for the Research Engineer, Language - Generative AI role at Meta

Research Engineer, Language - Generative AI

2 weeks ago Be among the first 25 applicants

Join to apply for the Research Engineer, Language - Generative AI role at Meta

This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$70.67/yr - $208,000.00/yr

Meta is seeking a Research Engineer to join our Large Language Model (LLM) Research team. We conduct focused research and engineering to build state-of-the-art LLMs, which we often open-source, like our team’s recent Llama 2. We are looking for strong engineers who have a background in generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling.

Research Engineer, Language - Generative AI Responsibilities:

• Design methods, tools, and infrastructure to push forward the state of the art in large language models.
• Define research goals informed by practical engineering concerns.
• Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
• Work with a large and globally distributed team.
• Contribute to publications and open-sourcing efforts.
  
  

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Research experience in machine learning, deep learning, and/or natural language processing.
• Experience with developing machine learning models at scale from inception to business impact.
• Programming experience in Python and hands-on experience with frameworks such as PyTorch.
• Exposure to architectural patterns of large scale software applications.
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
  
  

Preferred Qualifications:

• Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• A PhD in AI, computer science, data science, or related technical fields.
• Direct experience in generative AI and LLM research.
• First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
  
  

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.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].

$70.67/hour to $208,000/year + bonus + equity + benefits

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.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Internet

Referrals increase your chances of interviewing at Meta by 2x

Sign in to set job alerts for “Research Engineer” roles.

Redwood City, CA $140,000.00-$180,000.00 2 months ago

Research Engineer / Research Scientist - Deep Research

San Francisco, CA $56.25-$173,000.00 3 days ago

San Francisco, CA $105,000.00-$165,000.00 2 months ago

Research Scientist, Design and Simulation

Research Engineer / Research Scientist - Agents

Research Engineer/Scientist, Strategic Deployment

Chemical Engineer, Reaction and Process Development

Research Engineer - Machine Learning (ML)

San Francisco, CA $160,000.00-$220,000.00 1 year ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.