Staff 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 operating at scale across Azure and AWS, deployed in multiple regions globally, including IL4-compliant environments for 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.

Backed by over $410M in funding and valued at $2B+, we are defining the next era of agentic talent systems.

What sets Eightfold apart is not just the technology & our mission, but the team behind it.

We are a deeply technical, execution-driven organization that values ownership, collaboration, and high standards.

Our engineers, product leaders, and go-to-market teams work closely together — in person and across functions — to build systems that scale in the real world.

If you’re excited to work on hard problems, move with urgency, raise the bar every day, and help build agentic systems that transform how the world works, Eightfold is the place to do it.

About the AI/ML 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.

Lead and inspire: Mentor and guide a team of talented ML Engineers, fostering a culture of innovation and collaboration. Architect and implement: Design and build scalable, robust, and efficient ML pipelines that power our core products. Innovate and optimize: Develop novel algorithms and continuously improve our existing models for performance, accuracy, and scalability. Solve complex problems: Tackle challenging real-world problems in areas like natural language processing, recommendation systems, and predictive analytics. Stay ahead of the curve: Research and implement state-of-the-art techniques in deep learning, reinforcement learning, and other emerging fields. Design and Development: Implement scalable solutions using LLMs, Fine-tune LLMs for specific NLP tasks, Develop and deploy LLM-powered applications What You Bring Deep expertise: Strong foundation in Machine Learning, Deep Learning, and NLP, with a proven track record of developing and deploying ML models at scale. Technical leadership: Experience leading and mentoring teams, with excellent communication and collaboration skills. Problem-solving mindset: Ability to analyze complex problems, think critically, and develop innovative solutions. Passion for AI: A genuine enthusiasm for pushing the boundaries of AI and its applications in the real world. Advanced skills: Proficiency in Python and relevant ML frameworks (TensorFlow, PyTorch, etc.), as well as experience with big data technologies (Hadoop, Spark). Strong CS fundamentals and coding languages (Python, C/C++, Hava, Scala, R) GenAI & Large Language Model : Experience in developing and deploying LLM-powered applications, Knowledge of LLM fine-tuning techniques and optimization strategies. Understanding of LLM ethical considerations and biases Nice to Haves MInimum of 6-10+ years of relevant work experience in ML and AI MS or PhD in Computer Science or a related field Publications in top-tier AI conferences Experience with GenAI, LLMs, and Transformers Contributions to open-source ML projects Join Us and Shape the Future of AI If you're a senior AI/ML engineer who's ready to make a real impact, we'd love to hear from you. Eightfold.ai offers a dynamic and rewarding environment where you'll have the opportunity to work on cutting-edge projects, collaborate with world-class experts, and accelerate your career growth. Join us and help build the future of AI-powered talent intelligence. Hybrid Work 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, 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, or disability.