Research Engineer, Language - Generative AI

Lensa; Baton Rouge (LA); On-site; USD 70,000 - 208,000; Full time

Job summary

A leading career site is seeking a Research Engineer specializing in generative AI and natural language processing for an exciting opportunity with Meta in Baton Rouge, LA. The successful candidate will work within a globally distributed team to develop state-of-the-art large language models while contributing to open-source initiatives, and driving impactful research and engineering efforts.

Qualifications

• Bachelor's degree in a relevant field required.
• Experience with large language models and evaluation preferred.
• Strong research and programming skills in Python necessary.

Responsibilities

• Design methods and tools for advancing large language models.
• Contribute to evaluation experiments and organize results.
• Collaborate with distributed teams and contribute to publications.

Skills

Machine Learning

Deep Learning

Natural Language Processing

Programming in Python

Education

Bachelor's in Computer Science

Master's in Computer Science

PhD in AI or related field

Tools

PyTorch

Job description

Research Engineer, Language - Generative AI

Research Engineer, Language - Generative AI

2 days ago Be among the first 25 applicants

Lensa is the leading career site for job seekers at every stage of their career. Our client, META, is seeking professionals in Baton Rouge, LA. Apply via Lensa today!

Summary

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.

Required Skills

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

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

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).
  
  

Public Compensation

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

Industry: Internet

Equal Opportunity

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].

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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