Research Scientist contributing to quantum algorithms development at Quantinuum. Engaging in research, publishing papers, and collaborating with industry partners in the field of quantum computing.
About the role
- Research Scientist at Snorkel AI bridging research breakthroughs and practical applications for AI solutions. Working in a dynamic environment to prototype and deploy innovative AI systems.
Responsibilities
- Design, implement, and validate novel AI techniques for data development such as synthetic data generation, utilizing techniques such as LLM as a Judge.
- Prototype and build end-to-end workflows, integrating research ideas into scalable systems.
- Write high-quality, maintainable code, ensuring robust implementation of research-driven innovations.
- Move fast and adapt—iterating on solutions in response to new challenges, customer needs, and emerging research.
- Work closely with real-world design partners, testing solutions in applied settings with measurable impact.
- Collaborate with research scientists, engineers, and industry partners to push forward Snorkel AI’s broader research initiatives and rapidly productionize prototypes.
Requirements
- Strong expertise in AI, NLP, multi-modal models, LLMs, and generative AI, with an emphasis on applied research and system-building.
- Experience in developing, experimenting, and deploying AI models at scale.
- Proficiency in Python and machine learning frameworks (NumPy, Scikit-learn, Pandas, PyTorch, TensorFlow, etc.).
- Experience with software engineering best practices (e.g., clean coding, modular design, version control).
- Familiarity with ML infrastructure, cloud platforms (AWS, Google Cloud), and accelerators (GPUs, TPUs).
- Ability to work in a fast-moving, iterative environment, comfortable with ambiguity and open-ended challenges.
- A bias for action—willing to roll up your sleeves, experiment, and move quickly to solve problems.
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