Machine Learning Manager - EdTech Innovator

Description

We are on a mission to revolutionize education, making learning more accessible and engaging. Since our launch in 2019, we have empowered over 200 million students across various STEM subjects and built the world's largest STEM video library. With over $26M in funding, our goal is to become the leading platform in ed-tech!

Your Role

As The Manager Of Machine Learning, You Will

• Lead with Vision: Drive the strategic planning and execution of our machine learning initiatives.
• Inspire & Mentor: Guide and support a talented team of data scientists, machine learning engineers, and AI specialists, fostering a culture of continuous learning and innovation.
• Develop Impactful Models: Create and implement machine learning models that enhance personalized learning experiences for millions of students.
• Collaborate Across Teams: Work closely with product teams, software engineers, and UX/UI designers to integrate machine learning functionalities into our products.
• Stay Ahead of Trends: Keep abreast of industry trends and advancements in machine learning, AI, and ed-tech, and use this knowledge to refine our ML strategy.
• Communicate Clearly: Simplify complex machine learning concepts and results for stakeholders across the organization.
• Ensure Quality: Apply best practices to guarantee the quality, reliability, and scalability of our machine learning systems.
• Drive Improvements: Define key metrics to evaluate ML model effectiveness and use these insights to drive continuous improvements.
  
  

Minimum Qualifications

What We're Looking For

• 6+ years of experience in machine learning, data science, or related fields.
• 2+ years of experience managing and coaching high-performing teams.
• Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• Proficiency with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
• Strong skills in software development and programming languages (e.g., Python, Java).
• Hands-on experience with GPUs and optimization techniques.
• Solid understanding of machine learning algorithms, statistical concepts, and data structures.
• Familiarity with cloud-based machine learning platforms (e.g., AWS, Google Cloud).
• Knowledge of SQL and relational databases, as well as NoSQL databases like AWS Dynamo.
• Proven track record of deploying machine learning models in real-world applications.
• Excellent leadership and communication skills.
  
  

Preferred Qualifications

• Experience with NLP and generative models, especially in educational contexts.
• Contributions to intellectual property or published research.
• Prior experience in the ed-tech industry.
• Ability to convey complex technical ideas to non-technical audiences.
• Experience designing/building data pipelines and frameworks.
• Familiarity with data warehouses and data lakes.
  
  

What We Offer

• Competitive Salary & Equity: Enjoy a competitive salary with significant equity potential.
• Comprehensive Benefits: Health, dental, and vision coverage for you and your dependents.
• 401(k) Plan: Plan for your future with our 401(k) option.
• Remote Flexibility: Work from anywhere—we're remote-first!
• Flexible PTO: Generous time off policies, including paid parental leave for new parents.
• Inclusive Culture: Be part of a remote-friendly environment with regular team events to stay connected.
  
  

Join Us

If you're passionate about building amazing products and thrive in an environment of innovation and growth, we'd love to hear from you. We are an equal opportunity employer and value diversity in our workforce. If you need any accommodations due to a disability or special need, please let us know.

Employment Type: Full-Time