AI Engineer

Primary Responsibilities

Process and collect data for AI systems, create and maintain data pipelines for developing and deploying AI algorithms at scale Research the state of the art in AI/ML and creatively apply it to our mission of digital equality Design and develop algorithms using AI/ML to enhance our product suite and increase automation Contribute to technical documentation and share findings with stakeholders through demos, presentations, and reports Evaluate algorithm performance using rigorous statistical and domain-relevant metrics, iterating for continual improvement Participate in code reviews, team planning, and cross-functional collaborations to ensure high engineering standards

Requirements

3+ years of experience in machine learning or AI engineering, with a strong focus on deploying models in production environments. Proficiency with Python and common ML libraries such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face Transformers. Experience building and maintaining scalable ML infrastructure Strong back-end engineering skills, including designing APIs, integrating with cloud services, and building infrastructure to support ML workflows. Hands-on experience with data engineering tools and workflows (e.g., AWS Glue, Athena, Spark, or similar). Strong understanding of model lifecycle management, including training, evaluation, deployment, and monitoring in real-world systems. Familiarity with web technologies (HTML, CSS, JavaScript) and an interest in digital accessibility. Excellent communication skills, with the ability to explain complex ML concepts to both technical and non-technical audiences. Additional Skills Computer Vision, NLP Docker & AWS Accessibility knowledge