Applied Machine Learning Engineer
About The Position
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. 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 engineering building, reliable, and observable AI systems.
Requirements
- 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, TensorFlow, 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.
Responsibilities
- Design, build, and deploy end-to-end generative AI applications and agents using modern frameworks (e.g., LangChain, LlamaIndex).
- 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 DigitalOcean platform.
- Work with the AI Product Manager to translate customer use cases into rapid, iterative AI prototypes and production pilots.
Benefits
- We innovate with purpose.
- We prioritize career development.
- We care about your well-being.
- We reward our employees.
- DigitalOcean is an equal-opportunity employer.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Publishing Industries
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees
