Evergreen - Machine Learning (umbrella)

Description

Nebius Academy is an international online learning platform helping engineering teams master AI and cloud technologies. We build hands-on, industry-relevant programs for B2B audiences — combining deep technical expertise with real-world application. Our Machine Learning curriculum covers the full ML lifecycle: from foundational concepts and mathematical methods to supervised learning, time series forecasting, and numerical methods — applied to real business problems.

Who are we looking for? We are building a talent pool of experienced Data Scientists and ML practitioners for ongoing roles as Instructors, Authors, and Subject Matter Experts in our Machine Learning educational programs.

We are looking for specialists across the following areas: Machine Learning in Business, Basics of Machine Learning, Supervised Learning, Time Series in Machine Learning, Numerical Methods of Machine Learning, and adjacent ML engineering topics.

A strong candidate doesn't just know their stack deeply — they actively apply ML in real-world projects and can translate complex concepts into practical, teachable content. We prioritize hands-on experience with tools and workflows such as Scikit-learn, PyTorch, XGBoost, time series libraries (Prophet, statsmodels), ML experiment tracking (MLflow, W&B), feature engineering pipelines, or similar. The ability to teach others how to build and evaluate models in real business contexts is what sets our experts apart.

These are Talent Pool positions — we continuously review applications and build our roster of experts. This means there may not be an immediate opening at the time you apply, but strong candidates will be added to our talent pool and contacted as relevant opportunities arise.

You can join us on a part-time basis (~10–15h/week), contributing as an instructor leading live sessions and workshops, as a course author creating learning materials, or as a subject matter expert supporting curriculum development. Teaching sessions are compensated separately.

Compensation: $40–150/hour, depending on experience and format of collaboration.

Our selection process is fully asynchronous and designed to respect your time:

1. Application Review — we evaluate your profile against our current needs
2. Async Video Interview — a short self-recorded interview (10–15 minutes max)
3. Test Assignment — approximately 1 hour to complete
4. Talent Pool — finalists are added to our active roster of vetted experts
5. Hiring Manager & Tech Expert Call — once a relevant position opens, we invite you to a live interview with our team
6. Offer — we extend an offer for a relevant position upon successful completion of the process

Apply now — we review applications on an ongoing basis.

Please submit your resume in English.

What you will do

Available Roles

We are building a talent pool of Instructors, Authors, and Subject Matter Experts for our Machine Learning educational programs. We hire on an ongoing basis across the following specializations: Most in demand: ML in Business, Supervised Learning, Time Series in ML

Also relevant: Basics of Machine Learning, Numerical Methods of Machine Learning, and adjacent ML and data science topics

Instructor You will lead live, hands-on training sessions for experienced data practitioners, helping them apply machine learning concepts and tools to real-world business problems.

• Conduct live, interactive training sessions and workshops
• Prepare practical workshop scenarios and training materials in collaboration with our Instructional Designer
• Develop reusable materials: model-building exercises, prompt libraries, challenge tasks, and reference guides
• Work with the curriculum team to ensure alignment between asynchronous and live content
• Communicate with students during Q&A sessions
• Review and incorporate learner feedback to continuously improve session design

Author You will create the core educational content for our ML courses — from structure and learning objectives to lessons, assessments, and final projects.

• Collaborate with us to define the course structure and learning objectives for each module
• Create clear, concise, and comprehensive content: lessons, manuals, guides, session outlines, and assessments
• Prepare content in multiple formats: text, draft slides, and screencasts
• Participate as a speaker in learning videos
• Design the final project for the course
• Work iteratively with instructional designers to improve content quality
• Ensure all content meets industry standards and aligns with course objectives