ML Engineer, Conversational AI - NEON
Mountain View, CA
Applications have closed
Title: ML Engineer, Conversational AI - NEON
Company: Samsung Research America (SRA)
Lab: NEON
Location: Mountain View, CA
Lab Summary
We are NEON, a subsidiary of Samsung dedicated to creating Artificial Humans who interact with you in ways indistinguishable from the real world. Our NEONs (Neo humaNs) draw inspiration from the most natural of interfaces: interaction with another human being. Bringing together a world-class R&D team of researchers, developers, and engineers, that are building production technology at the forefront of artificial intelligence, machine learning, real-time computing, conversational agents, computer graphics, design, and more.
NEONs hold the potential to advance our digital world while preserving the elements of human interaction that are meaningful to all of us. If you share that dream – if you want to make the visions you saw in Her, Blade Runner, and more into tangible reality – and are passionate about taking such ideas into handcrafted renderings, we would love to hear from you!
Position Summary
We are seeking collaborative and result-oriented machine learning engineers with both strong experience and a keen interest in taking fundamental research into new product innovation. We expect our machine learning engineers to understand state-of-the-art research and apply it to solve deep technical challenges by distilling research insights into application. As part of our team, you will both conduct experiments and play a key role in developing and scaling the technology for a wide user base.
Responsibilities
- Design and build data-driven conversation models with emphasis on realism and natural flow
- Analyze and evaluate the quality of a human-NEON conversation and suggest ways to improve it
- Efficiently conduct experiments to validate conversational AI algorithms with respect to product goals
- Collaborate with researchers, other developers, and the product team to take research ideas into well-thought-out product features
- Collect and curate training data, train models, and optimize them for deployment
- Be a champion of engineering excellence and propose systematic changes to achieve it
Requirements
- 3+ years of experience building and deploying conversational AI systems in a production environment
- Strong experience in using a knowledge base to enhance conversational experience
- Experience working with conversational AI/search tools such as RASA, SpaCy, Amazon Lex, Amazon Kendra, or DialogFlow
- Deep knowledge of conversational designs, flow, and automated speech recognition
- Familiarity with transformers, Large Language Models (LLMs), and their applications
- Ability to write efficient, clean, and reusable code in Python
A Little Extra!
- Fluent in one of the popular Deep Learning frameworks (e.g., Pytorch or Tensorflow)
- Experience with C++
Additional Information
Work Hours
Incumbent must make themselves available during core business hours.
Physical Requirements
This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers, and reach with hands and arms.
EEO Statement
Samsung is committed to encouraging a diverse workplace and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
If you have a disability or special need that requires accommodation, please let us know.
All your information will be kept confidential according to EEO guidelines.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: ASR Conversational AI Deep Learning Engineering LLMs Machine Learning Python PyTorch R R&D Research spaCy TensorFlow Transformers
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