NLP Research Scientist
New York
Applications have closed
ASAPP
Elevate human performance using the power of AI. Achieve breakthrough results in customer experience by empowering your agents with integrated automation.Researchers at ASAPP work to fundamentally advance the science of NLP and ML toward our goal of deploying domain specific real-world AI solutions, and to apply those advances to our products. They leverage the massive amounts of data generated by our products, and our ability to deploy AI features into real-world use to ask and address fundamental research questions in novel ways.
We are expanding our research team and are looking for candidates with PhD in NLP or machine learning, outstanding communication skills, and strong research experience. If you thrive in an environment of deep thinking, impactful research, and startup-paced execution, ASAPP is the ideal place for you.
What you'll do
- Develop and optimize NLP models for rapid iteration of our AI SaaS products
- Build and maintain toolkits or infrastructure to accelerate NLP/ML innovation
- Follow cutting-edge research in the field of natural language processing and machine learning
What you'll need
- Phd in Computer Science, Natural Language Processing or Machine Learning
- Research and/or work experience of applied NLP or ML, ideally having experience with natural language understanding and/or language modeling applications
- Familiar with at least one of the deep learning toolkits, such as PyTorch, Tensorflow and MxNet
- Strong analytical / problem solving skills
- Strong communications and interpersonal skills
What we'd like to see
- Ability to work with a diverse team in a fast-paced environment
- Peer reviewed publications in NLP, Speech or Machine Learning
- Bonus - experience with large-scale production model training (Horovod, Ray, Parameter Server, etc.)
- Bonus - experience with production model optimization (model compression, TVM, torchscript, etc.)
- Bonus - experience with cloud computing infrastructure and software (AWS, Kubernetes, Docker, etc.)
Perks
- Competitive compensation
- Fitness and wellness perks
- Learning and development opportunities
Tags: AWS Computer Science CX Deep Learning Docker Horovod Kubernetes Machine Learning Model training MXNet NLP PhD PyTorch Research TensorFlow
Perks/benefits: Career development Competitive pay Startup environment
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