Research Engineer, Conversational AI - Reality Labs
Meta
Research Engineer, Conversational AI - Reality Labs
Job Description
Reality Labs is seeking a Research Engineer to join our Large Language Model (LLM) Research team for the device driven AI Assistant effort. We conduct focused research and engineering to build state-of-the-art LLMs to fit on-device and on-server use cases. We are looking for strong research 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. We collaborate closely with Meta GenAI and FAIR orgs to produce SOTA research and results.
Locations
- Redmond, WA, USA
- Menlo Park, CA, USA
Salary
Estimated Salary Rangemedium confidence
15,000,000 - 45,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- generative AIintermediate
- NLPintermediate
- language model evaluationintermediate
- data processingintermediate
- pre-trainingintermediate
- fine-tuningintermediate
- responsible LLMsintermediate
- LLM alignmentintermediate
- reinforcement learningintermediate
- efficient trainingintermediate
- efficient inferenceintermediate
- multilingual modelingintermediate
- multimodal modelingintermediate
- research engineeringintermediate
- collaborationintermediate
Required 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 A PhD in AI, computer science, data science, or related technical fields. First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL). Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Direct experience in generative AI and LLM research. (experience)
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
Tags & Categories
Research Engineer, Conversational AI - Reality Labs
Meta
Research Engineer, Conversational AI - Reality Labs
Job Description
Reality Labs is seeking a Research Engineer to join our Large Language Model (LLM) Research team for the device driven AI Assistant effort. We conduct focused research and engineering to build state-of-the-art LLMs to fit on-device and on-server use cases. We are looking for strong research 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. We collaborate closely with Meta GenAI and FAIR orgs to produce SOTA research and results.
Locations
- Redmond, WA, USA
- Menlo Park, CA, USA
Salary
Estimated Salary Rangemedium confidence
15,000,000 - 45,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- generative AIintermediate
- NLPintermediate
- language model evaluationintermediate
- data processingintermediate
- pre-trainingintermediate
- fine-tuningintermediate
- responsible LLMsintermediate
- LLM alignmentintermediate
- reinforcement learningintermediate
- efficient trainingintermediate
- efficient inferenceintermediate
- multilingual modelingintermediate
- multimodal modelingintermediate
- research engineeringintermediate
- collaborationintermediate
Required 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 A PhD in AI, computer science, data science, or related technical fields. First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL). Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Direct experience in generative AI and LLM research. (experience)
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
Tags & Categories