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
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