Machine Learning Engineer

Summary

Eightfold AI is a global leader in AI-native enterprise talent platforms, known for its innovative approach to agentic AI. The Machine Learning Engineer will be responsible for researching, designing, developing, and deploying advanced AI agents and systems, working closely with cross-functional teams to deliver impactful solutions.

Responsibilities

• Research, design, development, and deployment of advanced AI agents and agentic systems
• Architect and implement complex multi-agent systems, including planning, decision-making, and execution capabilities
• Develop and integrate large language models (LLMs) and other state-of-the-art AI techniques to enhance agent autonomy and intelligence
• Build robust, scalable, and reliable infrastructure to support the deployment and operation of AI agents at scale
• Collaborate with product managers, UX designers, and other engineers to define requirements and deliver impactful solutions
• Diagnose and troubleshoot issues in complex distributed environments and optimize system performance
• Contribute to the team's technical growth and knowledge sharing
• Stay up-to-date with the latest advancements in AI research and agentic AI and apply them to our products
• Leverage enterprise data, market data, and user interactions to build intelligent and personalized agent experiences
• Contribute to the development of Copilot GenAI Workflows for Users, enabling chat-like command execution

Skills

• Knowledge and passion in 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 programming languages such as Python, and experience with 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 skills
• Strong communication and collaboration skills
• Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field, or equivalent years of experience
• Min 1-3+ 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

Qualifications

Must Haves

• Knowledge and passion in 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 programming languages such as Python, and experience with 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 skills
• Strong communication and collaboration skills
• Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field, or equivalent years of experience
• Min 1-3+ years of relevant machine learning work experience

Nice to Haves

• Research experience in agentic AI or related fields
• Experience building and deploying AI agents in real-world applications

Benefits

• Annual bonus
• Equity (Pre-IPO stock options)
• Hybrid Work
• Family medical, vision and dental coverage
• Eligibility for equity awards and discretionary bonuses or commissions