Hiring: Research Scientist Company: Snorkel AI Location: New York, NY Job Posted Time: 2026-09-16 07:37:33 Employment Type: Remote Target Skills & Keywords : AWS, GCP, LLM, Machine Learning, NLP, NumPy, Pandas, PyTorch, Python, TensorFlow, TestNG, scikit-learn About the job Required Skills: •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. •Partner cross-functionally with research scientists, engineers, and industry partners to push forward Snorkel AI’s broader research initiatives and rapidly productionize prototypes. Qualifications: •Strong expertise in AI, NLP, multi-modal models, LLMs, and generative AI, with an emphasis on applied research and system-building. •Proficiency in Python and machine learning frameworks (NumPy, Scikit-learn, Pandas, PyTorch, TensorFlow, etc.). •Operational familiarity with ML infrastructure, cloud platforms (AWS, Google Cloud), and accelerators (GPUs, TPUs). •Demonstrated capacity 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. •Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location. •Salary range(s) for this role •Be Your Best at Snorkel •We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Compensation: •$200,000 - $375,000 / year •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!