Sr Machine Learning Engineer

About the Team:The AI Agents team at Eightfold.ai is at the forefront of developing intelligent, autonomous systems that will redefine talent management. We are building cutting-edge agentic AI that can proactively assist users, automate complex workflows, and provide personalized insights. Our work directly impacts millions of users and shapes the future of how people connect with opportunities.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.Qualifications:Knowledge and passion in machine learning algorithms, GenAI, LLMs, and Agentic AIUnderstanding 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.Bachelors o Masters or Ph.D. in Computer Science, Artificial Intelligence, or a related field, or equivalent years of experience.Min 2-5+ years of relevant machine learning work experience.Preferred Qualifications:Research experience in agentic AI or related fields.Experience building and deploying AI agents in real-world applications.Pay TransparencyPlease note this role is categorized as hybrid in Santa Clara, CA The base salary ranges below are provided for pay transparency. Base pay is only one piece of our total compensation package as this role may be eligible for bonus and equity awards. Compensation varies depending on a number of factors including qualifications, skills, competencies, experience and zones determined by location. Zone A Base annual salary range: $153,750 to $225,000 + discretionary bonus up to 15% + preIPO equity (stock options).Hybrid Work @ Eightfold: At Eightfold, we believe our best work happens when we collaborate closely, learn from one another, and build together. We follow a hybrid work model that combines flexibility with a strong emphasis on in-person collaboration to foster innovation, culture, and rapid execution.Employees based near our Santa Clara, London, Bangalore, and Noida offices are expected to work from the office three days per week, as we believe regular in-person engagement is essential to how we build high-impact products and strong teams.Eightfold.ai provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran or disability status. Experience our comprehensive benefits with family medical, vision and dental coverage, a competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions.#LI-HybridDepartment:Engineering