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Microsoft
San Francisco, CA, United States
Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end,
Job Source: MicrosoftCoactive AI
San Francisco, CA, United States
Applied Machine Learning Research Scientist Coactive makes it easy to search, filter, and analyze visual content. Increasingly image and video data captures the content we watch, the products we buy, and the work we do, and already represents 80% of internet traffic. But rather than being an asset, visual content is often a tax or even a liabilit
Job Source: Coactive AIGreylock
San Francisco, CA, United States
A growth-stage investment of ours is looking to hire a Sr. Research Engineer with a strong background in NLP and Deep Learning (LLM exp strongly desired). Qualifications: 5+ years industry experience in NLP with a strong academic foundation (PhD in Computer Science or related field preferred) Good coding skills and hands-on exp with modern ML fra
Job Source: GreylockDeepNight
San Francisco, CA, United States
DeepNight is a seed-stage startup that leverages the latest advancements in AI to push the boundaries in computational imaging at the edge. We are seeking a talented Applied AI Research Scientist specializing in computational imaging to join our team. You will be responsible for conducting innovative research and developing advanced algorithms at t
Job Source: DeepNightCoactive AI
San Francisco, CA, United States
Coactive makes it easy to search, filter, and analyze visual content. Increasingly image and video data captures the content we watch, the products we buy, and the work we do, and already represents 80% of internet traffic. But rather than being an asset, visual content is often a tax or even a liability because it is so hard to work with and under
Job Source: Coactive AICoactive AI
San Francisco, CA, United States
Coactive makes it easy to search, filter, and analyze visual content. Increasingly image and video data captures the content we watch, the products we buy, and the work we do, and already represents 80% of internet traffic. But rather than being an asset, visual content is often a tax or even a liability because it is so hard to work with and under
Job Source: Coactive AIMeta
Burlingame
**Summary:** We are looking for researchers and applied scientists to join the Core Data Science team. Core Data Science is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally contribute to Meta's success. By applying your expertise in quantitative methods, you will be empowered to dr
Job Source: MetaAmazon
San Francisco, CA, United States
If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/ About Twitch Launched in 2011, Twitch is a global community that comes together each day to create multiplayer entertainment: unique, live, unpredictable experiences created by the interactions of millions. We bring the joy of co-op to ever
Job Source: AmazonSan Francisco, CA, United States
Our vision is to build the next-generation platform for fast and easy creation of audio and video content. In October 2020, we took a huge leap forward by launching a cloud based collaborative video editor and a screen recorder. We have built and shipped some key technologies like voice cloning, one-click speech enhancement, etc. to help us realize our vision. We're used by some of the world's top podcasters and influencers as well as businesses such as BBC, ESPN, Hubspot, Shopify and Washington Post for communicating via video. We've raised $100M from some of the world's best investors like OpenAI , Andreessen Horowitz, Redpoint Ventures and Spark Capital.
We need great people to help us build these cutting-edge technologies and guide its development. In particular, we’re always looking to hire smart applied research scientists. You will join a team of around a dozen researchers specialized in generative models and deep learning.
Some of our research publications:
SampleRNN: An Unconditional End-to-End Neural Audio Generation Model.
Char2Wav: End-to-end Speech Synthesis.
ObamaNet: Photo-realistic lip-sync from text.
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis.
Chunked Autoregressive GAN for Conditional Waveform Synthesis
Wav2CLIP: Learning Robust Audio Representations From CLIP
Responsibilities
Oversee research process implementation, from problem definition all the way to running and analyzing concrete research experiments.
Collaborate and communicate clearly and efficiently with the rest of the team about the status, results, and challenges of your current tasks.
Contribute to designing the research roadmap of the company
Train and mentor other members of the team.
Own the research function of specific product features.
Challenges
As a core member of our research team, you'll play an integral role in challenges such as:
Using deep learning (including but not limited to NLP, speech processing, computer vision, etc.) to solve problems for media creation and editing.
Creating realistic voice doubles using only a few minutes of audio.
Creating tools to synthesize photo-realistic videos that match our Overdub (personalized speech synthesis) feature.
Designing and developing new algorithms for media synthesis, anomaly detection, speech recognition, speech enhancement, filler word detection, audio and video tagging etc.
Coming up with new research directions to improve our product
Requirements
Proven experience in designing and implementing deep learning algorithms.
PhD or Master’s degree specialized in Deep Learning or equivalent experience.
Track record of developing new ideas in machine learning, as demonstrated by one or more first author publications or projects.
Good programming skills and experience with deep learning frameworks.
Ability to generate more ideas than you can implement.
Implementing a given idea is easy and efficient. Once the experiment set up is established, you’re able to implement many ideas per day, evaluate them, and organize your time to be productive and efficient.
You wish you had more GPUs to run all the experiments that you wanted!
You know Pytorch/Tensorflow inside-out
We do not require domain-specific knowledge in computer vision or speech-processing
At least one of the following must be true for the applicant to be considered:
Lead author of an accepted publication in one of the top conferences: ICLR, ICML, NeurIPS, ICASSP, ICCV, CVPR, InterSpeech, etc.
Played a key role in shipping a feature in production which uses deep learning as a key component.
The base salary range for this role is $180,000- $235,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, and may vary from the amount above.
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Email Alert for Applied Research Scientist jobs in San Francisco, CA, United States
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