Machine Learning Engineer

About Eightfold: Eightfold is a global leader in AI‑native enterprise talent platform, trusted by the world’s largest & most respected Fortune 500 organizations. Our platform is built from the ground up to operate at scale across Azure and AWS, deployed in multiple regions globally, including IL4‑compliant environments for the US Government, supporting users in 100+ countries and 30+ languages. Today, Eightfold is at the forefront of agentic AI, delivering intelligent agents that actively drive outcomes across hiring and talent workflows, while much of the industry is still experimenting with prototypes. We are defining the next era of agentic systems in a deeply technical, execution‑driven organization that values ownership, collaboration, and high standards. 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, 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. Minimum 1–3+ 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 Transparency Base pay is only one component of the total compensation package and includes annual bonuses and equity. The role is categorized as hybrid in Santa Clara, CA. Zone A base annual salary range: $123,750 to $185,000, + discretionary annual 10% bonus + pre‑IPO equity (stock options). Hybrid Work We follow a hybrid work model with in‑person collaboration. Employees near the Santa Clara, CA office are expected to be in the office 3 days per week to support innovation and rapid execution. Equal Employment Opportunity 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. Benefits include comprehensive family medical, vision and dental coverage, competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions. #J-18808-Ljbffr Eightfold