Sr Machine Learning Engineer

b Overview /b p In this role you will help shape Eightfold.ai’s agentic AI platform by researching, designing, and deploying autonomous AI agents at scale. You will work with cross-functional teams to define requirements and deliver high-impact, personalized experiences for millions of users. You’ll advance LLM-based autonomy, multi-agent planning, and robust infrastructure while staying at the forefront of AI research. This is a fantastic chance to contribute to cutting-edge, enterprise-grade AI that transforms how people connect with opportunities. /p b Pay / Benefits /b ul li hybrid work model /li li base salary /li li discretionary bonus up to 15% /li li preIPO equity /li li comprehensive family medical, vision, and dental coverage /li li equity awards eligibility /li /ul b Responsibilities /b ul li Research, design, and deploy advanced AI agents and agentic systems /li li Architect multi-agent platforms with planning, decision-making, and execution capabilities /li li Integrate LLMs and state-of-the-art AI techniques to boost agent autonomy /li li Build scalable, reliable infrastructure to support agent operations at scale /li li Collaborate with product, design, and engineering to define requirements and deliver solutions /li li Diagnose issues in distributed environments and optimize performance /li li Contribute to team knowledge sharing and technical growth /li li Stay current with AI research and apply innovations to products /li li Leverage enterprise and user data to craft personalized agent experiences /li li Contribute to Copilot GenAI Workflows for Users for chat-like command execution /li /ul b Key requirements /b ul li Knowledge and passion in machine learning, GenAI, LLMs, and agentic AI /li li Understanding of agent-based modeling, reinforcement learning, autonomous systems /li li Experience with LLMs and their applications in Agentic AI /li li Proficiency in Python; experience with TensorFlow or PyTorch /li li Experience with AWS and containerization (Docker, Kubernetes) /li li Understanding of distributed system design and microservices /li li Strong coding and algorithm skills; excellent problem-solving and data analysis abilities /li li Strong communication and collaboration skills /li li Bachelor in Computer Science, Artificial Intelligence, or related field, or equivalent experience /li li Min 2-5+ years of relevant ML work experience /li /ul ul li strong communication /li li collaboration /li li problem-solving /li li Python /li li TensorFlow /li li PyTorch /li /ul