Lead Engineer, AI Engineer (Applied​/Software), Machine Learning​/ ML Engineer

What You Will Do

• 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.

• 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 (Tensor Flow, PyTorch, etc.), as well as experience with big data technologies (Hadoop, Spark). Strong CS fundamentals and coding languages (Python, C/C++, Java, 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.

• 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.

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. 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.