Applied Machine Learning Engineer

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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 value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.

What You'll Do

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.

What You'll Add To DigitalOcean

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.

Compensation Range

$227,040 - $283,800

This is a remote role

Why You'll Like Working for DigitalOcean

We innovate with purpose. You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.

We prioritize career development. At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.

We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.

We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, gender, gender identity, gender expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

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