דרושים Ml Cv Audio ב-Facebook ב-ארהב

Develop algorithms based on state-of-the-art machine learning and neural network methodologies. Work with and create large datasets. Conduct research to advance the science and technology of intelligent machines. Conduct research...

Research Scientist, Speech & Audio - FAIR (PhD) Responsibilities

Develop algorithms based on state-of-the-art machine learning and neural network methodologies.

Work with and create large datasets.

Conduct research to advance the science and technology of intelligent machines.

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

Conduct research that enables learning the semantics of data across multiple modalities (speech, audio, images, video, text, and other modalities).

Open source high quality code and reproducible results for the community.

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.

Currently has or is in the process of obtaining a PhD in the field of Speech, Audio, Language, Machine Learning, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta.

Research and/or hands-on experience in one or more of the following areas: audio (speech, sound, or music) generation, text-to-speech (TTS) synthesis, text-to-music generation, text-to-sound generation, speech recognition, speech / audio representation learning, vision perception, image / video generation, video-to-audio generation, audio-visual learning, audio language models, lip sync, lip movement generation / correction, lip reading, etc.

Experience with Python and PyTorch.

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

Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as ICML, NeuRIPS, ICLR, ICASSP, Interspeech, ACL, EMNLP, CVPR, and other similar venues.

Demonstrated software engineer experience via an internship, work experience, coding competitions, or used contributions in open source repositories (e.g. GitHub)

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

Experienced in large-scale data processing

Experience communicating research findings to public audiences of peers.

$117,000/year to $173,000/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.

משרות נוספות שיכולות לעניין אותך

Google Audio Research Scientist United States, California, Mountain View

24.04.2025

Facebook Software Engineer Systems ML - SW/HW Co-design United States, California, Sunnyvale

שיתוף

Apply relevant AI infrastructure and hardware acceleration techniques to build & optimize our intelligent ML systems that improve Meta’s products and experiences. Goal setting related to project impact, AI system...

Software Engineer, Systems ML - SW/HW Co-design Responsibilities

Apply relevant AI infrastructure and hardware acceleration techniques to build & optimize our intelligent ML systems that improve Meta’s products and experiences

Directly or influencing partners to deliver impact through deep, thorough data-driven analysis

Drive large efforts across multiple teams

Define use cases, and develop methodology & benchmarks to evaluate different approaches

Apply in depth knowledge of how the ML infra interacts with the other systems around it

Mentor other engineers / research scientists & improve the quality of engineering work in the broader team

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

Specialized experience in one or more of the following machine learning/deep learning domains: Hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine learning frameworks (e.g. PyTorch), numerics and SW/HW co-design

Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python

Master/PhD degree in Computer Science, Computer Engineering

Experience with distributed systems or on-device algorithm development

Experience with recommendation and ranking models

Experience collaborating with other teams in a fast-paced environment

$56.25/hour to $173,000/year + bonus + equity + benefits

משרות נוספות שיכולות לעניין אותך

23.04.2025

Facebook Software Engineer Systems ML - PyTorch Compiler United States, California

שיתוף

Develop the PT2 compiler (e.g., TorchDynamo, TorchInductor, Export, PyTorch Core). Improve PyTorch performance via systematic solutions for the entire community. Explore the intersection of the PyTorch compiler and PyTorch distributed....

This role is about developing the core PyTorch 2.0 technologies, innovating and advancing the state-of-the-art of ML compilers, and accelerating PT2 adoption through direct engagements with OSS and industry users.

Software Engineer, Systems ML - PyTorch Compiler, PyTorch Framework, PyTorch Performance Responsibilities

Develop the PT2 compiler (e.g., TorchDynamo, TorchInductor, Export, PyTorch Core).

Improve PyTorch performance via systematic solutions for the entire community.

Explore the intersection of the PyTorch compiler and PyTorch distributed.

Optimize Generative AI models across the stack (pre-training, fine-tuning, and inference).

Collaborate with users of PyTorch to enable new use cases of PT2 technologies both inside and outside Meta.

Advanced in Python or C++ programming.

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

4+ years of research or industry experience in developing compilers, ML systems, ML accelerators, GPU performance, and similar.

Experience in developing PyTorch/PT2, Triton, MLIR, JAX, XLA, TVM is a huge plus

Experience in developing inside other ML frameworks like Caffe2, TensorFlow, ONNX, TensorRT

Knowledge in GPU architecture, ML accelerator performance, and developing high-performance kernels.

Experience with training models, end-to-end model optimizations, or applying ML to systems.

Knowledge of communication collectives, PyTorch distributed, and parallelism.

Experience in building OSS communities and extensive social media presence in the ML Sys domain.

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

משרות נוספות שיכולות לעניין אותך

23.04.2025

Facebook Software Engineer Systems ML - SW/HW Co-design United States, California, Sunnyvale

שיתוף

Software Engineer, Systems ML - SW/HW Co-design Responsibilities

Apply relevant AI infrastructure and hardware acceleration techniques to build & optimize our intelligent ML systems that improve Meta’s products and experiences

Directly or influencing partners to deliver impact through deep, thorough data-driven analysis

Drive large efforts across multiple teams

Define use cases, and develop methodology & benchmarks to evaluate different approaches

Apply in depth knowledge of how the ML infra interacts with the other systems around it

Mentor other engineers / research scientists & improve the quality of engineering work in the broader team

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

Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python

A Bachelor's degree in Computer Science, Computer Engineering, relevant technical field and 7+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a Master's degree in Computer Science, Computer Engineering, relevant technical field and 4+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a PhD in Computer Science Computer Engineering, or relevant technical field and 3+ years of experience in AI framework development or accelerating deep learning models on hardware architectures.

Experience with distributed systems or on-device algorithm development

Experience with recommendation and ranking models

Technical leadership experience

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

משרות נוספות שיכולות לעניין אותך

17.04.2025

Facebook Software Engineer Systems ML - Frameworks / Compilers Kernel... United States, Washington, Bellevue

שיתוף

Development of SW stack with one of the following core focus areas: AI frameworks, compiler stack, high performance kernel development and acceleration onto next generation of hardware architectures. Contribute to...

You will be working on one of the core areas such as PyTorch framework components, AI compiler and runtime, high-performance kernels and tooling to accelerate machine learning workloads on the current & next generation of MTIA AI hardware platforms. You will work closely with AI researchers to analyze deep learning models and lower them efficiently on MTIA hardware. You will also partner with hardware design teams to develop compiler optimizations for high performance. You will apply software development best practices to design features, optimization, and performance tuning techniques. You will gain valuable experience in developing machine learning compiler frameworks and will help in driving next generation hardware software codesign for AI domain specific problems.

Software Engineer, Systems ML - Frameworks / Compilers / Kernels Responsibilities

Development of SW stack with one of the following core focus areas: AI frameworks, compiler stack, high performance kernel development and acceleration onto next generation of hardware architectures.

Contribute to the development of the industry-leading PyTorch AI framework core compilers to support new state of the art inference and training AI hardware accelerators and optimize their performance.

Analyze deep learning networks, develop & implement compiler optimization algorithms.

Collaborating with AI research scientists to accelerate the next generation of deep learning models such as Recommendation systems, Generative AI, Computer vision, NLP etc.

Performance tuning and optimizations of deep learning framework & software components.

Proven C/C++ programming skills

Experience in AI framework development or accelerating deep learning models on hardware architectures.

A Bachelor's degree in Computer Science, Computer Engineering, relevant technical field and 4+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a Master's degree in Computer Science, Computer Engineering, relevant technical field and 2+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a PhD in Computer Science Computer Engineering, or relevant technical field.

Knowledge of GPU, CPU, or AI hardware accelerator architectures.

Experience working with frameworks like PyTorch, Caffe2, TensorFlow, ONNX, TensorRT

OR AI high performance kernels: Experience with CUDA programming, OpenMP / OpenCL programming or AI hardware accelerator kernel programming. Experience in accelerating libraries on AI hardware, similar to cuBLAS, cuDNN, CUTLASS, HIP, ROCm etc.

OR AI Compiler: Experience with compiler optimizations such as loop optimizations, vectorization, parallelization, hardware specific optimizations such as SIMD. Experience with MLIR, LLVM, IREE, XLA, TVM, Halide is a plus.

OR AI frameworks: Experience in developing training and inference framework components. Experience in system performance optimizations such as runtime analysis of latency, memory bandwidth, I/O access, compute utilization analysis and associated tooling development.

$56.25/hour to $173,000/year + bonus + equity + benefits

משרות נוספות שיכולות לעניין אותך

16.04.2025

Facebook Research Engineer Core ML - Monetization AI United States, California, Sunnyvale

שיתוף

Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques. Prioritize training scalability and signal scaling to optimize model performance, efficiency, and reliability. Develop and apply NextGen...

Research Engineer, Core ML - Monetization AI Responsibilities

Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques.

Prioritize training scalability and signal scaling to optimize model performance, efficiency, and reliability.

Develop and apply NextGen sequence learning techniques to drive advancements in natural language processing and understanding.

Design and implement generative modeling solutions for data augmentation.

Research and develop graph-aware large language models.

Develop and deploy AutoML pipelines.

Apply Reinforcement Learning (RL) techniques, including long-term value optimization, RLHF, and RL4Reason.

Use causal learning to identify and understand the cause and effect of relationships across data.

Collaborate with cross-functional teams to design and optimize ML systems, leveraging expertise in hardware-software co-design, including quantization, compression, and resource-efficient AI, to drive performance improvements and efficiency gains.

Develop and implement innovative solutions for data-related challenges, utilizing knowledge of semi/self-supervised learning, generative techniques, sampling, debiasing, domain adaptation, continual learning, data augmentation, cold-start, content understanding, and large language models.

Research experience in deep learning, reinforcement learning, natural language processing, computer vision, recommendations, ranking, search, or related areas.

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

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

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

Master's degree or PhD 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 taking ideas from research to production.

Experience working and communicating cross functionally in a team environment.

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

$56.25/hour to $173,000/year + bonus + equity + benefits

משרות נוספות שיכולות לעניין אותך

16.04.2025

Facebook Software Engineer Audio United States, Washington, Redmond

שיתוף

R&D in the areas of general audio processing/framework, audio codecs, and network related loss/jitter compensation to deliver best-in-class quality across the family of apps. Identify areas of scalability, performance, quality...

Software Engineer, Audio SWE Responsibilities

R&D in the areas of general audio processing/framework, audio codecs, and network related loss/jitter compensation to deliver best-in-class quality across the family of apps.

Identify areas of scalability, performance, quality and reliability improvement across the stack.

Collaborate closely with both product and research teams to deploy new audio technologies as-a-service and as-a-platform.

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

5+ years software development experience in industry settings

3+ years in relevant audio software engineering experience including audio software for video conferencing or other real-time communication applications

C or C++ experience, including use of C++11/14/17 features.

Demonstrated communication skills and experience working across disciplines to drive optimal solutions and supporting cross functional teams.

Expertise in audio signal processing and auditory perception, both classical and machine learned techniques.

Experience with audio stack including codecs, audio capture/render, and network compensation/jitter buffer.

Proven track record of innovation as demonstrated by products shipped, publications and/or patents.

Experience with GenAI

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

FacebookResearch Scientist Speech & Audio - FAIR PhD

משרות נוספות שיכולות לעניין אותך

1 2 3

United States, California

432930137

24.04.2025

שיתוף

תיאור:

Research Scientist, Speech & Audio - FAIR (PhD) Responsibilities

Develop algorithms based on state-of-the-art machine learning and neural network methodologies.

Work with and create large datasets.

Conduct research to advance the science and technology of intelligent machines.

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

Conduct research that enables learning the semantics of data across multiple modalities (speech, audio, images, video, text, and other modalities).

Open source high quality code and reproducible results for the community.

Minimum Qualifications

Experience with Python and PyTorch.

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

Preferred Qualifications

Demonstrated software engineer experience via an internship, work experience, coding competitions, or used contributions in open source repositories (e.g. GitHub)

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

Experienced in large-scale data processing

Experience communicating research findings to public audiences of peers.

About Meta

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