Lead Machine Learning Scientist

OneSix - External

About The Position

The Lead Machine Learning Scientist at OneSix works collaboratively to design and develop machine-learning-based solutions for clients. This role is mission-critical, leading project teams, shaping project scopes, and working directly with clients to iterate on solutions. While not a direct people manager, the Lead ML Scientist serves as a technical team lead, providing mentorship, guidance, and strategic direction to team members to ensure successful project delivery. They are responsible for bringing together state-of-the-art solutions to solve our clients' most pressing problems.

Requirements

Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
6+ years of hands-on AI/ML experience, with increasing leadership responsibilities.
Strong proficiency in ML tools (e.g., PyTorch, Scikit-learn, Huggingface).
Advanced programming skills in Python; experience with R and/or C++ is a nice to have.
Deep understanding of machine learning algorithms, statistical modeling, and optimization techniques.
Experience scoping and leading machine learning projects from scoping/design through deployment/monitoring.
Experience deploying ML models in production environments.
Experience with cloud-based ML infrastructure (AWS, GCP, Azure) and MLOps practices/tools.
Strong mentorship abilities and a passion for helping others grow.
Ability to influence technical strategy without direct managerial authority.
Effective communication skills to present complex ML concepts to diverse audiences.
Problem-solving mindset and ability to work cross-functionally with different teams.

Nice To Haves

Advanced programming skills in Python; experience with R and/or C++ is a nice to have.

Responsibilities

Conduct research and development on AI/ML models to solve complex technical challenges.
Design, train, and optimize machine learning models for performance, scalability, and efficiency.
Experiment with state-of-the-art AI techniques, such as deep learning, reinforcement learning, and generative models.
Work closely with engineers and scientists to integrate models into production environments.
Analyze and preprocess large datasets to improve model accuracy and robustness.
Stay updated with advancements in AI and ML and apply new findings to ongoing projects.
Ensure AI models adhere to ethical AI practices, fairness, and interpretability principles.
Contribute to technical documentation and research publications when applicable.
Strong problem-solving skills and analytical thinking.
Ability to work independently and collaborate with cross-functional teams.
Effective communication skills for discussing technical concepts and findings.
Act as a technical lead by guiding and mentoring team members, providing feedback, and fostering collaboration.
Help shape project scopes, drive technical discussions, and ensure alignment with business goals.