Senior AI/ML Engineer

Job Description

Job Title: Machine Learning Engineering Director

Qualifications:

Hold a Bachelor's degree in a technical field (e.g., computer science, machine learning, mathematics, physics, statistics, econometrics), or equivalent hands-on experience.

Demonstrate coding proficiency in at least one programming language, with a strong preference for Python.

Possess a strong foundation in mathematics, statistics, and machine learning concepts, enabling the development, training, and evaluation of production models and facilitating the comprehension of research papers.

Showcase exceptional communication skills, facilitating the effective conveyance of technical ideas and fostering productive collaborations with business partners.

Exhibit an entrepreneurial mindset and a deep passion for unlocking the potential of Large Language Models (LLMs) and classical machine learning techniques to drive a multi-billion dollar business.

Provide evidence of successful management experience, having effectively led teams of 1-2 machine learning engineers or scientists.

Display the ability to strategically plan and prioritize team objectives, set unambiguous goals, and deliver constructive feedback to team members.

Additional Qualities We Value:

Proficiency in building RESTful APIs, ideally using Flask, FastAPI, or other Python frameworks.

Experience in constructing data pipelines that underpin Machine Learning model development.

Familiarity with Python libraries for machine learning, data manipulation, and mathematics, such as PyTorch, numpy, and pandas.

Previous involvement in machine learning or data analysis endeavors, whether in industry, academia, or personal projects.

Compensation:

Full-time