Staff ML Engineer – Adaptive Learning

Brilliant is seeking a Staff Machine Learning Engineer to join our team and lead the development of adaptive learning technologies. In this role, you will play a key part in creating intelligent systems that personalize the learning experience for millions of users.

Your responsibilities will include:

• Designing, building, and deploying machine learning models that adapt to individual learning patterns.
• Collaborating with data scientists, product managers, and engineers to define and implement adaptive learning features.
• Conducting research on cutting-edge ML techniques and applying them to educational challenges.
• Optimizing ML infrastructure for scalability and efficiency.
• Mentoring other engineers and data scientists.
• Defining and tracking key metrics for model performance and learning outcomes.

We are looking for someone with extensive experience in machine learning, particularly in building adaptive systems. You should have a strong foundation in statistics, algorithms, and software engineering.

Ideal candidates will have:

• Proven experience as a Staff-level ML engineer (at least 5+ years).
• Deep expertise in machine learning algorithms, statistical modeling, and data analysis.
• Strong programming skills in Python, R, or similar languages.
• Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Knowledge of recommendation systems and personalization techniques.
• Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
• Excellent communication and leadership skills.

If you are passionate about using AI to transform education and have a track record of building impactful ML systems, join Brilliant today! Apply at https://brilliant.org/careers.