onsite
AI Engineer/Researcher
AI Engineer/Researcher
We are seeking a highly skilled AI Engineer/Researcher to join our innovative team focused on building consumer GenAI software. This role involves researching GenAI trends, designing and maintaining LLM applications, owning the ML lifecycle, and collaborating with cross-functional teams to build cutting-edge AI solutions. The ideal candidate will have a strong background in modern LLM architectures and experience deploying AI models in production.
About the role
About the Role
We are a startup focused on building consumer GenAI software and products for daily information needs. 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.