ML Architect/Applied AI Researcher, Kindo

• The ideal candidate has a robust understanding of the recent developments in reinforcement learning with human feedback (RLHF) and can adeptly apply this knowledge in a practical setting
• They will be a self-motivated, entrepreneurial, and demonstrated team-player, as well as an early thought leader and hands-on implementer at a high growth startup
• PhD in Computer Science, Machine Learning, AI, or a related field, or equivalent experience
• Minimum of 7 years of experience in AI research with a strong focus on deep learning, generative models, and large language models
• Extensive experience with the latest advancements in reinforcement learning for fine-tuning (RLHF)
• Have depth of research and industry experience building and deploying LLMs into production (e.g. not pure research)
• Proficient in machine learning frameworks such as TensorFlow, PyTorch, or others
• Demonstrated ability to lead complex projects and guide junior team members
• Excellent communication skills, with the ability to explain complex technical concepts to a non-technical audience
• Published work in top-tier AI or machine learning conferences or journals is a plus
• Strong problem-solving skills, and the ability to think critically and creatively
• Practical experience deploying LLMs into production

Desirable

• We are seeking a highly experienced ML Architect/Applied AI Researcher with a specialization in deep learning and generative models to join our dynamic team
• In this senior role, you will evangelize the latest AI research and guide the strategic architectural direction of our AI modeling and implementation efforts, including the evaluation and fine-tuning of large language models (LLMs), and the evolving automation as we scale
• This person will play a significant role in building and bringing a new generative AI product to market, and represent Kindo at relevant conferences and events
• Lead the development, implementation, and continuous improvement of cutting-edge AI and machine learning models, with a focus on generative AI and LLMs
• Apply the latest research and industry framework advances to most efficiently leverage those advancements into our product
• Act as a productive individual contributor
• Enhance fine tuning models using private customer data turnkey
• Research, experiment, and define the approach for extending the product capabilities using agents, increasing the autonomy of the AI in our product
• Evaluate the performance of existing models using a variety of metrics, and recommend improvements as necessary
• Leverage Kindo's rich datasets to fine-tune models and maximize their effectiveness
• Collaborate closely with other teams within the company to understand their needs and develop AI models that support their objectives
• Mentor and guide junior team members in the development and implementation of AI models
• Present complex concepts and the results of research projects effectively to both technical and non-technical audiences
• Lead research collaborations and partnerships with external researchers and institutions