Manager, Machine Learning - Remote
NumeradeAbout the role
Numerade is on a mission to level the playing field in education. This is your opportunity to join a venture-backed startup early and build something remarkable at the intersection of education and technology.
- Since launch in 2019, we have helped over 200 million students gain confidence in STEM subjects, from algebra to quantum mechanics and more.
- We’ve built the world's largest STEM video library.
- We’ve raised over $26M in funding through series A (check out the article here)
- Our goal is to become the #1 ed-tech learning platform!
We are seeking an experienced, visionary Manager of Machine Learning to lead our Machine Learning team. The Manager of Machine Learning will play a critical role in steering the strategic direction of our AI/ ML efforts and advancing our mission to make learning more accessible, engaging, and impactful.
In this role, you’ll get to:
- 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.
Minimum Qualifications:
- 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.
Preferred Qualifications:
- Experience with NLP and generative models, particularly in an educational context.
- Contributed ideas and/or concepts that support the generation of intellectual property or published papers.
- Prior experience in the EdTech industry.
- Demonstrated ability to communicate complex technical ideas to non-technical stakeholders.
- Experience with designing/building data pipelines and related frameworks
- Experience with data warehouses and data lakes
You’ll be:
- 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.
Benefits and Perks:
- Competitive salary with a significant upside in equity
- Health + dental + vision coverage offered for both employees and their dependents
- 401k plan
- Work from home, or wherever. We’re remote-first!
- Flexible PTO, holiday, and leave policies, including paid parental leave for new parents - We want yo
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