We're seeking an AI Engineer with a background in building infrastructure that enables our AI researchers and other AI engineers to develop high-performance AI-powered capabilities, such as learner-centered generative AI and learning personalization.
AI-enhanced personalized learning is core to our comprehensive learning platform. You and your team will support the AI/ML needs of BrainPOP's products and services. Reporting to the Chief Academic Officer, you will partner with cross-functional leaders to help drive the research and development of personalized learning at BrainPOP. You will be focused on results, be proactive, deliver rigorous, customized learning capabilities, and use data to drive changes in products and services.
In this role, you will:- Help create a vision and roadmap for the AI infrastructure used across BrainPOP
- Develop high-performance, scalable, and reliable software solutions for learner-centered generative AI and learning personalization in Python and Python-based AI/ML frameworks
- Develop effective methods of AI model testing during all stages: development, deployment, and recalibration
- Train machine learning models, evaluate performance metrics, and communicate results with visual and statistical aids
- Analyze, visualize, and communicate insights based on large multidimensional datasets
- Utilize best practices for learning technologies and software development of high-performance systems around design, coding, automated unit, and regression testing and deployment
- Work closely with our learning scientists and engineers to define collection events and data transformations to drive personalized learning.
- Energized by leading AI software development to tackle and make progress against complex and ambiguous product roadmaps and business opportunities.
- Demonstrated technical experience in infrastructure and operations for machine learning, including deep expertise in technologies for ML model serving, ML model training, feature stores, etc.
- Experienced in developing and refining AI models using prompt engineering techniques in the context of generative AI models.
- Highly motivated to inspire a high-profile, high-performing team, helping the team prioritize, develop professionally, and drive bottom-line impact.
- Comfortable working with multiple stakeholders and functions and demonstrated ability to interact at the executive level and effectively manage multiple, often simultaneous, high-priority projects and recurring workstreams.
- A Bachelor's degree in Computer Science or a related technical field (Master's degree preferred)
- 2+ years of experience in AI/ML software development and working collaboratively with cross-functional teams to guide AI/ML-enhanced product planning, prioritization, and strategy development
- Extensive experience with Python and Python-based AI/ML frameworks
- Excellent communication skills
- Ability to work well on a team as well as autonomously
The BrainPOP team operates in a hybrid work environment: Each role has remote flexibility and an in-person component at our New York headquarters or other meeting locations. For this role, we are seeking a candidate who lives within commuting distance of the NYC office and resides in one of the following approved hiring states:
- Connecticut
- New Jersey
- New York
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