Senior Research Engineer, ML/AI

About the Role

Key Responsibilities

• Designing, developing, and deploying machine learning models and tools that enhance various aspects of education and assessment development
• Modeling statistical performance of assessment items
• Prototyping ML capabilities/features and contributing to ACT's ML/AI research agenda
• Collaborating with research scientists, prompt engineers, psychometricians, content specialists, etc. to enhance data quality and process efficiency
• Gathering requirements from technical and non-technical stakeholders to develop solutions for complex challenges unique to the assessment industry
• Assisting with other ML/AI related projects as required
• Contributing to and keeping up with the scientific literature in your field
• Presenting research results and demoing prototypes for technical and non-technical audiences, including to members of the C-suite

Requirements

• Proficiency with Python (in Linux-based environments), Git, ML frameworks (PyTorch/Scikit-learn, etc.)
• Strong background in mathematics and statistics
• Proficiency with other programming languages like Java and/or R
• Expertise in Natural Language Processing (NLP)
• Experience with visualizing and manipulating big datasets
• Experience building application prototypes with generative models
• Experience developing machine learning models and employing model evaluation techniques
• Proven track record of rapidly designing, developing, and deploying machine learning models and prototypes/prototype features
• Experience working with relational databases (Postgres, MySQL)
• Experience with cloud deployment (GCP, AWS), containerization (Docker), vector search engines, and knowledge graphs
• Excellent problem-solving, troubleshooting, and analytical skills
• Excellent communicator with the ability to explain technical concepts to non-technical stakeholders
• Adaptability and willingness to learn and grow in a rapidly evolving field
• Ability to stay current with industry trends and advancements
• Ability to collaborate within cross-functional teams
• Excellent time management, planning, prioritization, and organization skills
• Familiarity with Agile practices
• Bachelor's degree in Electrical and Computer Engineering, Computer Science, Data Science, Machine Learning, or a related field with 5+ years of experience, or
• Master's degree in the same fields with 3+ years of experience, or
• PhD in the same fields with 1+ years of experience working on Machine Learning Projects

Nice to Have

• ML publications or competition participation
• Experience working in a similar role within the assessment industry

Benefits & Perks

• Life insurance
• Paid time off
• Paid holidays
• 401(k) retirement savings with company match
• Comprehensive health benefits including medical, dental, and vision
• Flexible health and dependent spending accounts