Senior Engineer II, Copilots

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We’re shaking up the industry by building scalable, simpler to manage cloud and AI solutions. If you have a growth mindset, think big, and thrive in fast‑paced disruption, you’ll thrive here. We value collaboration, learning, fun, and making a profound difference for the dreamers and builders in the world.

We're seeking an Applied Machine Learning Engineer to spearhead the technical development of our first production‑grade, agentic AI solutions. You will be a founding technical member of the AI Modernization charter, responsible for bringing AI models to life and demonstrating clear business value to customers. Your focus is on building reliable and observable AI systems.

• Design, build, and deploy end‑to‑end generative AI applications and agents using modern frameworks (e.g., Lang Chain, Llama Index).
• Implement and optimize Retrieval‑Augmented Generation (RAG) architectures to ground models in customer‑specific data.
• Establish and execute evaluation frameworks (Evals) and A/B testing methodologies to measure model performance and guard against failure modes (e.g., hallucination).
• Collaborate with the Integrations team to ensure AI solutions are seamlessly integrated into customer products and the Digital Ocean platform.
• Work with the AI Product Manager to translate customer use cases into rapid, iterative AI prototypes and production pilots.

• 5+ years of experience as an ML Engineer, Applied Scientist, or Software Engineer specializing in AI/ML.
• Proven experience deploying LLM/Generative AI models into production environments.
• Expertise in Python and common data science/ML libraries (e.g., PyTorch, Tensor Flow, Hugging Face).
• Solid understanding of MLOps principles and experience with version control, monitoring, and scaling AI services.
• Strong background in prompt engineering, data preparation, and vector database technologies.
• A portfolio or track record of translating cutting‑edge models into tangible, applied business solutions.

• $134,000 - $172,000
• Remote role

• We innovate with purpose; you’ll be part of a cutting‑edge technology company on an upward trajectory, simplifying cloud and AI so builders can focus on creating software that changes the world.
• We prioritize career development with reimbursed conferences, training, and access to Linked In Learning’s 10,000+ courses.
• We care about your well‑being with benefits ranging from Employee Assistance Program to local meetups and flexible time off.
• We reward our employees with competitive salary, bonuses, equity grants, and an Employee Stock Purchase Program.
• Digital Ocean is an equal‑opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.