דרושים Research Scientist Generative Ai Phd ב-Facebook ב-United States, Bellevue

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.

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.

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).

$85.10/hour to $251,000/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 at Meta.

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Facebook Research Scientist Generative AI PhD United States, Washington, Bellevue

שיתוף

Research Scientist, Generative AI Research (PhD) Responsibilities

Lead, collaborate, and execute on research that pushes forward the state of the art in large language model research.

Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.

Work with a large and globally distributed team.

Contribute to publications and open-sourcing efforts.

Help identify long-term ambitious research goals as well as intermediate milestones.

Prioritize research that can be applied to Meta's product development.

Play a significant role in healthy cross-functional collaboration.

Currently has, or is in the process of obtaining a PhD degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields.

Experience writing software and executing complex experiments involving large AI models and datasets.

Experience in developing interactive solutions for computer vision, natural language processing, or computer graphics.

Direct experience in generative AI and LLM research.

Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.

2+ years of work experience in a university or industry lab, in a role with primary emphasis on AI research.

First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).

Experience in developing and debugging in Python.

Experience working with PyTorch or TensorFlow.

$117,000/year to $173,000/year + bonus + equity + benefits

17.04.2025

Facebook Research Engineer Computer Vision - Monetization Generative ... United States, Washington, Bellevue

שיתוף

Research Engineer, Computer Vision - Monetization Generative AI Responsibilities

Research and develop state-of-the-art text-to-image and text-to-video generative models using techniques such as diffusion models, GANs, and transformers to create realistic and high quality visual content.

Develop computer vision models for image understanding.

Design and develop AI-powered image and video editing models.

Apply Sequence Fine-tuning, Reinforcement Learning from Human Feedback, and Data-Driven Optimization techniques to improve the performance of GenAI models.

Develop and optimize recommendation models for personalized ad targeting and delivery to enhance user engagement, and drive business growth through relevant and effective advertising.

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

At least 2 years of industry experience in Generative AI, Computer Vision, or related fields.

Experience training Computer Vision, Generative AI, or related models (e.g., Pre-training, Post-training).

Experience leading large scale technical projects in AI or ML.

Programming experience in Python and hands-on experience with frameworks such as PyTorch.

Master or PhD degree in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or relevant technical field.

First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ACL).

Experience working on product or product research teams.

Experience working and communicating cross functionally in a team environment.

$85.10/hour to $251,000/year + bonus + equity + benefits

16.04.2025

Facebook AI Research Scientist VLLM Vision Large Language Models - Ge... United States, Washington, Bellevue

שיתוף

AI Research Scientist, VLLM (Vision Large Language Models) - Generative AI Responsibilities

Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research.

Work towards long-term ambitious research goals, while identifying intermediate milestones.

Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.

Work with a large team.

Contribute to publications and open-sourcing efforts.

Mentor other team members. Play a significant role in healthy cross-functional collaboration.

Prioritize research that can be applied to Meta's product development.

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

PhD in the field of Computer Science, Artificial Intelligence, or a related field.

3+ year experience in AI

Publications in areas of machine learning, computer vision, NLP, or audio

Experience writing software and executing complex experiments involving large AI models and datasets.

Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Direct experience in generative AI and LLM research.

First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).

Fluent in Python and PyTorch.

$147,000/year to $208,000/year + bonus + equity + benefits

16.04.2025

Facebook Technical Program Manager AI Research United States, Washington, Bellevue

שיתוף

Meta is seeking a Technical Program Manager to support the Artificial Intelligence Research mission to advance the state-of-the-art of AI. As a Technical Program Manager, your job will be to drive research breakthroughs and/or accelerate research into production. In this role, the TPM actively engages with talented research scientists and engineers across the spectrum of research types - exploratory, focused, and applied research.

Technical Program Manager, AI Research Responsibilities

Collaborate with engineering and business owners to define program requirements, set priorities, and establish scope, including defining the roadmap and long-term strategy of the teams you are partnering with.

Manage cross functional dependencies, risks, and changes effectively by optimizing scope, schedule, and resources accordingly.

Partner with cross functional teams to drive technical analysis, design, development, testing, implementation, and post implementation phases.

Develop and own communication plans to effectively and proactively communicate program status, issues, and risks to stakeholders.

Define and track key metrics and key quality and performance indicators and drive cross functional execution of program deliverables.

Proactively identify and analyze complex, long-term, critical infrastructure problems with engineering leaders and stakeholders.

Influence product decisions to align with higher company initiatives.

Drive internal and external process improvements across multiple teams and functions including reducing the manual efforts through automation.

B.S. in Computer Science or a related technical discipline, or equivalent experience.

10+ years of software engineering, systems engineering, hardware engineering, or technical product/program management experience.

Experience delivering technical programs or products from inception to delivery.

Knowledge of user needs, gathering requirements, and defining scope.

Experience operating autonomously across multiple teams, demonstrated critical thinking, and thought leadership.

Communication experience and experience working with technical management teams to develop systems, solutions, and products.

Experience in organization, coordination, and multi-tasking.

Analytical and problem-solving experience with large-scale systems.

Experience establishing work relationships across multi-disciplinary teams and multiple partners in different time zones.

Demonstrated experience in building aligned program teams to efficiently deliver on shared goal

Experience with large GPU clusters.

Experience with scalable storage solutions.

$167,000/year to $230,000/year + bonus + equity + benefits

16.04.2025

Facebook AI Research Scientist Language - Generative United States, Washington, Bellevue

שיתוף

AI Research Scientist, Language - Generative AI Responsibilities

Lead, collaborate, and execute on research that pushes forward the state of the art in large language model research.

Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.

Work with a large and globally distributed team.

Contribute to publications and open-sourcing efforts.

Help identify long-term ambitious research goals as well as intermediate milestones.

Prioritize research that can be applied to Meta's product development.

Mentor other team members. Play a significant role in healthy cross-functional collaboration.

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

A PhD in AI, computer science, or related technical fields.

Experience holding an industry, faculty, or government researcher position.

Publications in machine learning.

Experience writing software and executing complex experiments involving large AI models and datasets.

Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Direct experience in generative AI and LLM research.

2+ year(s) of work experience in a university, industry, or government lab, in a role with primary emphasis on AI research.

First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).

Experience developing and debugging in Python.

$147,000/year to $208,000/year + bonus + equity + benefits

08.04.2025

Facebook AI Research Scientist VLLM vision large language models - Ge... United States, Washington, Bellevue

שיתוף

AI Research Scientist, VLLM (vision large language models) - Generative AI Responsibilities

Lead, collaborate, and execute on developing scalable and effective data curation, model development and eval systems that push forward the state of the art in multimodal reasoning and generation research.

Work towards long-term ambitious research/development goals, while identifying intermediate milestones.

Directly contribute to experiments, including designing experimental details, reusable code, running evaluations, and organizing results.

Mentor other team members. Play a significant role in healthy cross-functional collaboration.

Prioritize research and development that can be applied to Meta's product development.

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

PhD in the field of Artificial Intelligence, Computer Vision, or a related technical field.

4+ years of Experience holding an industry, faculty, academic, or government researcher position.

Accepted Paper Contributions at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).

Knowledge of deep learning and neural networks.

Experience working with machine learning libraries like Pytorch.

Familiar with scripting languages such as Python and shell scripts.

Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Industry research & development experiences in generative AI and LLM research.

Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward.

Fluent in Python and PyTorch (or equivalent).

First-Author publications & track record at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).

$177,000/year to $251,000/year + bonus + equity + benefits

FacebookResearch Engineer Language - Generative AI

1 2

United States, Washington, Bellevue

211355402

21.05.2025

שיתוף

תיאור:

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.

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

$85.10/hour to $251,000/year + bonus + equity + benefits

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