Applied Machine Learning Engineer

Posted 5 Days Ago
Be an Early Applicant
San Francisco, CA
Hybrid
227K-284K Annually
Senior level
Cloud • Enterprise Web • Software • Infrastructure as a Service (IaaS)
DigitalOcean is the cloud of choice for developers, startups, and SMBs around the world.
The Role
The Applied Machine Learning Engineer will design and implement end-to-end generative AI applications, optimize RAG architectures, and collaborate with product teams to create AI solutions that deliver business value.
Summary Generated by Built In

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. 

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.

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

#LI-Remote

#LI-SK1

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

Top Skills

Hugging Face
Langchain
Llamaindex
Python
PyTorch
TensorFlow
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The Company
HQ: New York , NY
900 Employees
Year Founded: 2012

What We Do

DigitalOcean (NYSE: DOCN) simplifies cloud computing so builders can spend more time creating software that changes the world. With our mission-critical infrastructure and fully managed offerings, DigitalOcean enables startups and small and medium-sized businesses (SMBs) to rapidly deploy and scale modern applications. As a remote-first organization, our employees, like our customers, are based around the world.

Why Work With Us

Here you'll get to work with some of the smartest, most interesting people around; solving unique and complex technical challenges on a scale matched by few companies. If you get excited about stretching yourself in new ways, developing yourself to your fullest potential, with amazingly supportive friends and colleagues; we want to talk to you!

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