Machine Learning Manager, Numerade

• 6+ years of experience in machine learning, data science, or similar roles
• 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
• Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch)
• Expertise with software development and programming languages (e.g., Python, Java)
• Hands-on experience with GPUs and optimization
• Solid understanding of machine learning algorithms, statistical concepts, and data structures
• Familiarity with cloud-based machine learning platforms (e.g., AWS, Google Cloud)
• Familiarity with SQL and relational databases, and other NoSQL databases such as AWS Dynamo
• Proven track record of implementing machine learning models in real-world applications
• Exceptional leadership and communication skills
• Passionate about building incredible consumer products
• Comfortable with ambiguity: if you don’t have all the details, you’re comfortable moving forward and facing the uncertain because risk and change motivate you to evolve and innovate
• A mix of hands-on collaborative leadership ability, analytical / problem-solving skills, entrepreneurial can-do spirit, and grit

Desirable

• We are seeking an experienced, visionary Head of Machine Learning to lead our ML team. The Head of Machine Learning will play a critical role in steering the strategic direction of our ML efforts and advancing our mission to make learning more accessible, engaging, and impactful
• Drive the strategic vision, planning, and execution of our machine learning initiatives
• Lead and mentor a team of data scientists, machine learning engineers, and AI specialists, promoting a culture of continuous learning and innovation
• Develop and implement robust ML models that support personalized learning experiences for millions of students
• Collaborate with product teams, software engineers, and UX/UI designers to integrate ML functionalities into our product offerings
• Stay updated on the latest industry trends and advancements in machine learning, AI, and EdTech, and use this knowledge to inform our ML strategy
• Communicate complex machine learning concepts and outcomes to stakeholders across the organization in a clear, concise manner
• Implement best practices to ensure the quality, reliability, and scalability of machine learning systems
• Define key metrics to evaluate the effectiveness of ML models and use these metrics to drive improvements