Staff Applied Scientist

Our publicly traded client develops proprietary technology and analytics to deliver identity intelligence, powering critical solutions that help organizations operate confidently. Their solutions enable real-time identification and location of people, businesses, assets, and their relationships for risk mitigation, due diligence, fraud prevention, regulatory compliance, and customer acquisition.

Requirements

• Ph.D. in Computer Science, Artificial Intelligence, or a related field with a focus on: generative AI, agentic AI, deep learning, reinforcement learning, and/or graph neural networks.
• 5-7 years with Applied research in AI.
• Hands-on experience designing and deploying agentic AI systems, including tool usage, function calling, planning, multi-agent orchestration, retrieval-augmented generation, and evaluating agent behavior in production environments.
• Pre-training and/or fine-tuning foundational large language models.
• Proficiency in programming languages such as Python or C++, along with expertise in AI frameworks (e.g., PyTorch, TensorFlow, JAX).
• Deep understanding of transformer architectures, deep learning, and generative AI, with experience in natural language processing (NLP) for generative and agentic AI applications.
• Experience building and deploying scalable AI/ML solutions in real-world applications, including those at national or global scales.
• Demonstrated ability to drive projects forward independently with minimal guidance. Ownership of ambiguous problem framing through research, prototyping, productionization, and post-launch iteration.

Benefits

• Stock (RSU) grants
• 401K and generous company match
• Flexible PTO policy
• Medical, dental and vision coverage
• Commuter benefits
• In-office healthy snacks
• Team events

Originally posted on Himalayas