Lead Engineer

<div><strong style="background-color: transparent; color: rgb(0, 0, 0);">About Eightfold</strong></div><div><span style="background-color: transparent; color: rgb(0, 0, 0);">Eightfold is a global leader in AI-native enterprise talent platform, trusted by the world’s largest &amp; 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.</span></div><div><span style="background-color: transparent; color: rgb(0, 0, 0);">What sets Eightfold apart is not just the technology &amp; 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.</span></div><div><br></div><div><strong style="background-color: transparent; color: rgb(0, 0, 0);">About the AI/ML Team</strong></div><div><span style="background-color: transparent; color: rgb(0, 0, 0);">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.</span></div><div><br></div><div><strong style="background-color: transparent; color: rgb(0, 0, 0);">What You Will Do</strong></div><ul><li><strong style="background-color: transparent;">Lead and inspire:</strong><span style="background-color: transparent;"> Mentor and guide a team of talented ML Engineers, fostering a culture of innovation and collaboration.</span></li><li><strong style="background-color: transparent;">Architect and implement:</strong><span style="background-color: transparent;"> Design and build scalable, robust, and efficient ML pipelines that power our core products.</span></li><li><strong style="background-color: transparent;">Innovate and optimize:</strong><span style="background-color: transparent;"> Develop novel algorithms and continuously improve our existing models for performance, accuracy, and scalability.</span></li><li><strong style="background-color: transparent;">Solve complex problems:</strong><span style="background-color: transparent;"> Tackle challenging real-world problems in areas like natural language processing, recommendation systems, and predictive analytics.</span></li><li><strong style="background-color: transparent;">Stay ahead of the curve:</strong><span style="background-color: transparent;"> Research and implement state-of-the-art techniques in deep learning, reinforcement learning, and other emerging fields.</span></li><li><strong style="background-color: transparent; color: rgb(31, 31, 31);">Design and Development:</strong><span style="background-color: transparent; color: rgb(31, 31, 31);"> Implement scalable solutions using LLMs, Fine-tune LLMs for specific NLP tasks, Develop and deploy LLM-powered applications</span></li></ul><div><br></div><div><strong style="background-color: transparent; color: rgb(0, 0, 0);">What You Bring</strong></div><ul><li><strong style="background-color: transparent;">Deep expertise:</strong><span style="background-color: transparent;"> Strong foundation in Machine Learning, Deep Learning, and NLP, with a proven track record of developing and deploying ML models at scale.</span></li><li><strong style="background-color: transparent;">Technical leadership:</strong><span style="background-color: transparent;"> Experience leading and mentoring teams, with excellent communication and collaboration skills.</span></li><li><strong style="background-color: transparent;">Problem-solving mindset:</strong><span style="background-color: transparent;"> Ability to analyze complex problems, think critically, and develop innovative solutions.</span></li><li><strong style="background-color: transparent;">Passion for AI:</strong><span style="background-color: transparent;"> A genuine enthusiasm for pushing the boundaries of AI and its applications in the real world.</span></li><li><strong style="background-color: transparent;">Advanced skills:</strong><span style="background-color: transparent;"> 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) </span></li><li><strong style="background-color: transparent;">GenAI &amp; Large Language Model</strong><span style="background-color: transparent;">: </span><span style="background-color: transparent; color: rgb(31, 31, 31);">Experience in developing and deploying LLM-powered applications, Knowledge of LLM fine-tuning techniques and optimization strategies. Understanding of LLM ethical considerations and biases</span></li></ul><div><strong style="background-color: transparent; color: rgb(0, 0, 0);">Nice to Haves</strong></div><ul><li><span style="background-color: transparent;">MInimum of 6-10+ years of relevant work experience in ML and AI</span></li><li><span style="background-color: transparent;">MS or PhD in Computer Science or a related field</span></li><li><span style="background-color: transparent;">Publications in top-tier AI conferences</span></li><li><span style="background-color: transparent;">Experience with GenAI, LLMs, and Transformers</span></li><li><span style="background-color: transparent;">Contributions to open-source ML projects</span></li></ul><div><br></div><div><strong style="color: rgb(0, 0, 0); background-color: transparent;">Join Us and Shape the Future of AI</strong></div><div><span style="color: rgb(0, 0, 0); background-color: transparent;">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.</span></div><div><br></div><div><strong style="background-color: transparent; color: rgb(0, 0, 0);">Hybrid Work </strong></div><div><span style="background-color: transparent; color: rgb(0, 0, 0);">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.</span></div><div><span style="background-color: transparent; color: rgb(0, 0, 0);">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.</span></div><div><span style="background-color: transparent; color: rgb(0, 0, 0);"> </span></div><div><span style="background-color: transparent; color: rgb(0, 0, 0);">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. </span></div><div><br></div><div><span style="background-color: transparent; color: rgb(0, 0, 0);">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.</span></div><div><br></div><div><strong>#LI-Hybrid</strong></div>