ML Scientist
Develops scalable voice interface features through prototyping, infrastructure building, and R&D. Requires PhD in ML or related field, top conference publications, Python/LLM fluency, and strong engineering skills.
About the job
Responsibilities
- Prototype and design new features of the voice interface.
- Build infrastructure to handle voice interface scaling.
Requirements
- PhD in machine learning or related field (neuroscience, EE, etc).
- Strong publication track record at top conferences (ICML, NeurIPS, ICLR, ICASSP).
- Fluency in Python and LLM development.
- Attention to detail and eagerness to learn.
- Aptitude and clarity of thought.
- Creativity in R&D, excellence in engineering, and code velocity.
Skills
Python, LLMs, Machine Learning, PyTorch, TensorFlow
Similar jobs
AI Research jobsBuild agent-driven chatbots and generative AI workflows for financial-wellness products, owning features from design through impact measurement. The role requires at least three years of software engineering experience, strong system design, maintainable coding practices, and a bachelor’s degree or equivalent experience.
Research Scientist focused on evaluating frontier language and multimodal models, diagnosing failure modes, and building rigorous benchmarks. The role requires advanced training in AI or a related field, post-training expertise, and published machine learning research.
Research novel post-training methods for large language models, focusing on preference optimization, data curation, evaluation, alignment, and robustness across text and multimodal systems. Requires advanced academic training and experience with deep learning, reinforcement learning, and post-training techniques.
Develops experimental AI techniques and prototypes for agentic marketing applications, with emphasis on image and video generation. The role requires strong backend or probabilistic systems expertise, quantitative thinking, creativity with LLM applications, and product intuition.
The Research Engineer will apply advances in agents and language models to build and evaluate multi-agent systems for automated code validation and review. The role requires a computer science or equivalent background, research experience, strong programming skills, and product intuition.