Machine Learning Engineer

Overview In this role you will advance autonomous AI agents that proactively assist users and automate complex talent workflows. You’ll work on scalable agentic systems that impact millions of users, partnering with product, UX, and engineering to deliver intelligent experiences. You will leverage the latest AI advances to improve agent autonomy and integration with enterprise data. This is a hands-on, impact-driven opportunity to shape agentic talent systems at scale. Compensation / Benefitshybrid work modelequity (pre-IPO stock options)discretionary bonuscompetitive base salaryfamily medical vision and dental coverageEEO commitment Responsibilities Research, design, and deploy advanced AI agents and agentic systems Architect multi-agent frameworks including planning and execution Integrate LLMs and state-of-the-art AI techniques to boost agent intelligence Build scalable infrastructure to support agent deployment at scale Collaborate with product managers, UX designers, and engineers to define requirements Diagnose and optimize performance in distributed environments Contribute to team knowledge sharing and keep abreast of AI advancements Leverage enterprise and user data to craft personalized agent experiences Contribute to Copilot GenAI Workflows for Users for chat-like command execution Key requirements Knowledge and passion for machine learning, Gen AI, LLMs, and NLPUnderstanding of agent-based modeling, reinforcement learning, and autonomous systems Experience with LLMs and applications in Agentic AIProficiency in Python; experience with Tensor Flow or PyTorch Experience with AWS and containerization (Docker, Kubernetes)Understanding of distributed design patterns and microservices Strong coding and algorithms skills Excellent problem-solving and data analysis abilities Strong communication and collaboration skills Master in Computer Science, AI, or related field, or equivalent experience Min 1-3+ years of relevant ML work experiencecollaborationcommunicationproblem-solving Python Tensor Flow PyTorch