Staff Machine Learning Engineer

About Eightfold.ai

Eightfold.ai is at the forefront of innovation in the AI-driven HR tech space. We're not just building software; we're shaping the future of how organizations find, manage, and empower their talent. Our groundbreaking AI platform is revolutionizing the industry, and we're looking for exceptional engineers to join our team and drive the next wave of advancements.

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.

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
  
  

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 @ Eightfold: 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 February 1, 2024, employees residing near Santa Clara, California, or our Bangalore and Noida offices in India will return to the office twice 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, 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.