Senior Machine Learning Engineer

About the Role

Eightfold is seeking a Senior Machine Learning Engineer to lead the research, design, development, and deployment of advanced AI agents and agentic systems. This role involves architecting and implementing complex multi-agent systems with advanced planning, decision-making, and execution capabilities. You will integrate large language models (LLMs) and other state-of-the-art AI techniques to enhance agent autonomy and intelligence, while building robust, scalable, and reliable infrastructure for large-scale AI agent deployment.

Key Responsibilities:

• Research, design, develop, and deploy advanced AI agents and agentic systems.
• Architect and implement complex multi-agent systems, including planning, decision-making, and execution capabilities.
• Develop and integrate LLMs and other cutting-edge AI techniques to boost agent autonomy and intelligence.
• Build scalable and reliable infrastructure for deploying AI agents at scale.
• Collaborate with product managers, UX designers, and engineers to define requirements and deliver solutions.
• Diagnose and troubleshoot issues in distributed environments and optimize system performance.
• Contribute to team's technical growth and knowledge sharing.
• Stay current with AI research advancements, particularly in agentic AI, and apply them to products.
• Leverage enterprise data, market data, and user interactions to create intelligent, personalized agent experiences.
• Contribute to the development of Copilot GenAI Workflows for Users, enabling chat-like command execution.

Qualifications:

• Passion for machine learning algorithms, Gen AI, LLMs, and natural language processing (NLP).
• Understanding of agent-based modeling, reinforcement learning, and autonomous systems.
• Experience with large language models (LLMs) and their applications in Agentic AI.
• Proficiency in Python and machine learning frameworks like TensorFlow or PyTorch.
• Experience with cloud platforms (AWS) and containerization technologies (Docker, Kubernetes).
• Understanding of distributed system design patterns and microservices architecture.
• Demonstrable coding and algorithms skills.
• Excellent problem-solving and data analysis abilities.
• Strong communication and collaboration skills.
• Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field, or equivalent experience.
• Minimum of 2-4+ years of relevant machine learning work experience.
• Research experience in agentic AI or related fields.
• Experience building and deploying AI agents in real-world applications.