AI Engineer/Researcher

About the Role

We are seeking a highly skilled and motivated AI engineer/researcher to join our innovative team. The ideal candidate will have a strong background in modern LLM architectures and applications, and experience in using GenAI approaches in an applied, production environment.

Responsibilities

• Research: Follow and understand recent trends in GenAI developments, and how they may apply to directions the company is pursuing.
• Engineering: Design, build, and maintain LLM applications; own the ML lifecycle, including data analysis and processing, model architecture and training, metrics/evaluation, and MLOps.
• Communication: Convey complex technical information at different levels, including to other LLM experts and non-AI practitioners.
• Collaboration: Work closely with product engineers, designers, and data scientists to define and build cutting-edge AI solutions across the company.

Requirements

• Education: Bachelor's or Master's degree in Computer Science, Engineering, Math, or a related field; Ph. D. or similar experience is a plus.
• Experience: 10+ years of experience in the ML space; track record of deploying AI models in real-world applications.
• Skills: Excellent coding skills; proficiency in Python and familiarity with libraries such as PyTorch, TensorFlow, NumPy, and JAX. Strong understanding of machine learning algorithms and data structures.
• Communication: Excellent communication and presentation skills, with the ability to clearly articulate design decisions and rationale.
• Problem-Solving: Strong analytical skills with the ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications

• Publications: Authored or co-authored research papers in reputable AI/ML venues, or impactful technical blog posts.
• Open source: Active participation in open-source relevant repos, Kaggle competitions, and similar projects.
• Startup experience: Worked in small, fast-paced environments.