Staff Machine Learning Engineer - Agentic Models, LLM, RAG, GenAI

Responsibilities

• Lead the team in 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.
• Own, train, build, and deploy cutting‑edge deep learning models across all Eightfold products, end to end.
• 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.
• 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.

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.
• Proven track record of innovation in applied machine learning, as demonstrated by software artifacts or academic publications.
• Experience with large language models (LLMs) and their applications in agentic AI.
• Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch.
• Experience with cloud platforms (AWS) and containerization technologies (Docker, Kubernetes).
• Understanding of distributed system design patterns and microservices architecture.
• 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 experience.
• 6–10+ years of relevant experience in AI, ML, and applying data science to real‑world use cases.
• Strong track record of taking systems from prototype to production with a focus on scalability and reliability.
• Knowledge of fine‑tuning strategies (QLORA, DPO) and inference optimization (vLLM, TensorRT‑LLM).

Desired Skills & Experience

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

Pay Transparency

Zone A: Base annual salary range: $232,000 to $310,000 + annual performance bonus up to 20% + pre‑IPO equity (stock options).

Hybrid Work

We embrace a hybrid work model that aims to boost collaboration, enhance our culture, and drive innovation through a blend of remote and in‑person work. Starting May 1, 2025, employees residing near Santa Clara, CA office location will return to the office three days a week.

Benefits

Experience our comprehensive benefits with family medical, vision and dental coverage, competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions.

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.