Evergreen Machine Learning (umbrella)

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 doesnt 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 (1015h/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: $40150/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 (1015 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.

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
• Contribute to content updates based on student feedback analysis
• Optional: participate as an instructor in live sessions compensated separately

Subject Matter Expert You will shape the strategic direction of our ML curriculum ensuring our programs reflect real industry needs and the latest developments in machine learning and data science.

• Define topic priorities for ML learning programs targeting data scientists ML engineers and adjacent technical roles
• Decompose ML and data science skills into competency maps mastery frameworks and learning roadmaps
• Review course structures and content for technical accuracy practical relevance and alignment with learning outcomes
• Act as an internal authority for the Curriculum team translating market needs and ML trends into program strategy
• Support the selection and evaluation of external authors and experts
• Monitor emerging ML tools frameworks and workflows; convert insights into recommendations for new or updated programs

All roles are part-time: 1015 hours per week.

• The opportunity to create impactful content while maintaining your primary job: Share your expertise without leaving your current role
• Competitive hourly rate of $40-$85 USD for flexible part-time collaboration with significant impact and an amazing team!
• Remote cooperation with a schedule convenient for both you and the team: We dont focus on micromanagement
• Cross-cultural experience: Become part of an international team and connect with professionals from diverse backgrounds
• Meaningful impact: Share your knowledge and help experienced engineers advance their skills through high-quality educational content
• Participation in innovative projects: Contribute to shaping the future of programming education and AI adoption
• Professional growth: Receive feedback and develop your skills as a technical content creator and thought leader

Requirements:

Subject Matter Expert

• Strong hands-on technical expertise in machine learning data science or ML engineering
• Ability to evaluate real-world ML tools modeling approaches and workflows and distinguish practical solutions from hype
• Experience structuring complex ML knowledge into competency maps frameworks skill decompositions or curriculum logic
• Ability to review technical learning content critically and provide clear structured feedback to authors and internal stakeholders
• Seniority level that allows autonomous work after onboarding with strong ownership and minimal supervision
• Strong communication skills and ability to explain complex technical topics clearly to mixed stakeholders
• Availability to collaborate within European time zones
• Fluent English (written and spoken); Russian or Spanish is a strong plus

Author

• 5 years of professional experience in data science or ML engineering with a strong focus on supervised learning time series or applied ML in business contexts
• Solid knowledge of Python and core ML stack: Scikit-learn Pandas NumPy and familiarity with numerical methods and forecasting libraries
• Hands-on experience building and deploying ML models in real-world settings with concrete implementation cases and measurable impact
• Proven track record in engineering advocacy tech leadership conference speaking or mentoring
• Strong desire to share knowledge and explain complex concepts in a clear comprehensible way
• Ability to work independently and take ownership of a content area
• Strong attention to detail
• Availability to dedicate approximately 10 hours per week to collaboration
• Fluent English (written and spoken); Russian or Spanish is a strong plus

Instructor

• 5 years of experience in data science or ML engineering with a strong focus on supervised learning time series or applied ML in business contexts
• Solid knowledge of Python and core ML stack: Scikit-learn Pandas NumPy and familiarity with numerical methods and forecasting libraries
• Hands-on experience building and deploying ML models in real-world settings with concrete implementation cases and measurable impact
• Ability to translate complex ML concepts into actionable engaging learning experiences for professional audiences
• Confident collaborative and audience-oriented facilitation style
• Background in ML advocacy tech leadership or data science mentorship is a strong plus
• Strong preparation habits and time management; able to commit 1015 hours per week
• Fluent English (written and spoken); Russian or Spanish is a strong plus