Applied AI Engineer

Responsibilities

• As a Software Engineer working on AI systems, you will play a foundational role in research, experimentation and rapid improvement of AI systems towards building a capable, reliable AI automation platform
• The platform is used by organizations worldwide to deploy and scale executable AI automations in mission critical production environments
• Design experiments and test ideas to optimize key internal AI benchmarks
• Design and improve evaluation frameworks to accelerate the speed and direction of experimentation
• Train, fine-tune, and optimize machine learning models. Perform rigorous evaluation and testing to ensure model accuracy, generalization, and performance
• Collaborate and contribute on the core product development to deliver higher platform capabilities
• Setup up observability and monitoring systems to safety check model behaviour in critical settings

• Strong proficiency in fundamentals of software engineering, willingness to pick new concepts as needed and an ability to drive technical projects in ambitious environments
• Solid fundamentals in algorithms, data structures, system design
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field
• Proven track record of shipping high-quality code in challenging projects
• Attention to detail and first-principles thinking towards real world deployment of intelligent systems
• Previous experience working with distributed computing systems in production
• Experience shipping ML models to production