Associate AI/ML Engineer - Automated Content Generation (Job Vacancy)

Job Description

About ETS:

For more than 75 years, we have amplified products and services based rigorous research and our belief in the power of learning. Driven by our mission to advance quality and equity in education, ETS provides learning solutions, pioneering research and trusted assessments that help guide learners around the world on their path to new possibilities.

Our portfolio of trusted measures include TOEFL®, TOEIC®, GRE® and Praxis®. Along with research, development and innovation that explores new frontiers in learning and measurement our educational measurement solutions and research contribute to the development of new methods and tools, inform important dialogue with education policymakers, and shed light on critical issues and potential solutions - all with the aim of creating a world where all learners can improve their lives through education.

With new senior leadership at the helm, ETS aims to continue changing the lives of all learners as we expand our organization's global footprint. Our goal is to remain at the forefront of assessment and measurement efficacy within the education and ed tech space as it continues to grow and evolve.

ETS is seeking an AI Engineer to join the Product Innovation and Development (PID) team. The PID Division develops AI-based solutions that are built on a foundation of learning and cognitive science principles that leverage interactive task design, machine learning, and data sciences. Solutions will be integrated in various teaching, learning, and assessment solutions. The AI Engineer’s role is to build, train and deploy generative AI models that power innovative features for the products and optimize current processes.

Position Summary:

This position is for staffing the Generative AI / Content generation team, where we are specifically looking out for individuals who have exposure, experience or even expertise in the following:

Responsibilities:

• Work with senior data scientists to lead on the development of data ingestion and data transformation infrastructure
• Develop effective methods of AI/ML model testing during development, deployment, and recalibration
• Train machine learning models and provide metrics to document and track their performance
• Contribute to the definition of best practices around design, coding, automated unit, regression testing, and deployment of AI/ML models to production
• Keep current with the latest AI research in the personalized learning and assessment field and contribute to the research
• Adopt / lead best practices for the responsible use of AI
• Work closely with learning scientists and data scientists to define collection events and data transformations needed to drive personalized learning
• Work closely with Product Owners to understand potentials and limitations of AI/ML in the product
• Work effectively in the agile-at-scale framework
• Clearly communicate findings to senior leadership
• Adhere to ethical standards and comply with the laws and regulations applicable to the job function

Experience and Skills:

Education, Certifications, or Special Licenses:

• Master’s Degree in Computer Science, Applied Mathematics, Engineering or a related field

Relevant Years of Experience:

• One year of training or experience in AI/ML algorithm development

Other Requirements:

• AI/ML engineers will make heavy use of AWS, Microsoft Azure, OpenAI and Hugging Face models.
• Experience with Python-based AI/ML frameworks, Java
• Experience with cloud-based (AWS) deployment of models, performance monitoring and issues troubleshooting
• Experience with ML frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
• Excellent written and oral communication skills
• Ability to work effectively in a cross-functional team