Senior Machine Learning Engineer

Overview

was founded with a vision to solve for employment in our society. For decades, the connection between individuals and opportunities has been based on who the individuals are and the strength of their network, vs. their potential. Eightfold leverages artificial intelligence to transform how to think about skills and capabilities for individuals as well as how jobs and career decisions are made. Eightfold offers the industry’s first AI-powered Talent Intelligence Platform to transform how organizations plan, hire, develop and retain a diverse workforce, enabling individuals to transform their careers.

To date, Eightfold AI has received more than $410 million in funding and a valuation of over $2B from leading investors to further our mission of finding the right career for everyone in the world. If you are passionate about solving one of the most fundamental challenges of our society - employment, working on hard business problems, and being part of an amazing growth story - Eightfold is the place to be!

You may want to refer to the media coverage on TechCrunch and Reuters.

Eightfold.ai is led by Ashutosh Garg, a PhD in Machine Learning/IIT Delhi alumni who managed Search and Personalization at Google, and Varun Kacholia-IIT Bombay alumni, who led the News Feed Ranking team at Facebook and developed YouTube Search at Google.

Our customers

Press

About AI Platform Team

Our AI/ML team is the driving force behind Eightfold's cutting-edge solutions. We're a group of passionate experts who thrive on pushing the boundaries of applied machine learning. We work with massive datasets, tackle complex challenges, and collaborate to create AI models that are transforming the way companies approach talent management.

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.
  
  

• 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 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.
  
  

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. We are committed to creating a dynamic and flexible work environment that nurtures the collaborative spirit of our team. Starting May 1st, 2025, employees residing near Santa Clara, California, or our Bangalore and Noida offices in India will return to the office three times a week.

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.