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Research Engineer, Language - Generative AI

Meta

Bellevue (WA)

On-site

USD 70,000 - 208,000

Full time

7 days ago
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Job summary

An innovative technology firm is seeking a Research Engineer to join their cutting-edge Large Language Model Research team. This role focuses on developing state-of-the-art generative AI solutions and contributing to open-source projects. You will design methods and infrastructure to enhance language models, collaborate with a global team, and drive impactful research. If you are passionate about AI and want to shape the future of technology, this is the perfect opportunity for you. Join a company that is at the forefront of social technology and immersive experiences, where your work will make a difference.

Qualifications

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

Responsibilities

  • Design methods and tools to advance large language models.
  • Contribute to experiments and organize results.

Skills

Generative AI
Natural Language Processing (NLP)
Machine Learning
Deep Learning
Python
PyTorch

Education

Bachelor's degree in Computer Science
Master's degree in Computer Science
PhD in AI or related fields

Tools

PyTorch
Distributed Clusters

Job description

Research Engineer, Language - Generative AI

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Research Engineer, Language - Generative AI

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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 accommodations-ext@fb.com.

$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

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