Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience required
• Strong Python proficiency required
• Excellent software design, debugging, and problem-solving skills required
• Experience building and operating substantial software systems required
• Demonstrated engagement with modern AI systems, tools, or research required

Nice to Haves

• Machine learning research or engineering, including post-training, fine-tuning, reinforcement learning, or alignment
• AI-agent architecture, evaluation, or tool-use environments
• Distributed systems, model serving, orchestration, or high-throughput research infrastructure
• Security sandboxing, policy enforcement, adversarial testing, or governance for AI systems
• Forward-deployed engineering: working closely with users to discover, build, and operationalize new capabilities
• Linux, systems performance, networking, C++, or TypeScript

What You'll Be Doing

• Building scalable infrastructure for training, evaluating, and operating language models and AI agents
• Developing research environments, evaluation systems, and experimentation platforms that allow us to measure and improve agent performance
• Improving model and agent capabilities through post-training, reinforcement learning, prompting, tool design, and workflow optimization
• Designing sandboxing, policy enforcement, monitoring, and other safeguards for increasingly capable autonomous systems
• Partnering with teams across HRT to identify work AI can newly perform, develop effective solutions, and turn successful experiments into durable systems
• Evaluating new models, techniques, and products, and making informed decisions about when to build, buy, or adapt them
• Sharing technical knowledge and establishing effective practices for building and working with AI across HRT

Perks and Benefits

• Estimated base salary range of 200,000 to 300,000 USD per year (or local equivalent)
• Base pay may vary depending on location, job-related knowledge, skills, and experience
• Eligible for discretionary performance-based bonuses
• Competitive benefits package