Senior Applied AI Engineer

• Harness frontier models to drive real-world high-impact outcomes 
• Build evaluations, training data, and infrastructure to support AI deployments and rapid  iterations
• Collaborate with researchers and product managers to translate research advancements into tangible product features.
• Contribute to the development of best practices for building and deploying generative AI applications.
• Contribute signal to influence the development of frontier models
• Lead the architecture and development of new products & features from 0 to 1.

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development, and with data structures/algorithms.
• 5 years of hands-on experience in AI research (e.g. RL, finetuning, evals), AI applications, or model deployment
• Proven experience in rapidly developing and shipping software products.
• Deep understanding of software development best practices, including testing & deployment.
• Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).
• Substantial experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.
• Ability to work in a fast-paced environment and adapt to changing priorities.

• Experience with generative AI research or applications.
• Contributions to open-source projects.
• Experience working in, or founding early stage startups.
• Experience delivering software solutions in a fast-paced, customer-facing environment.

The US base salary range for this full-time position is between $155,000 - $291,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.