DigitalOcean
Applied Machine Learning Engineer
DigitalOcean, San Francisco, California, United States, 94199
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 part of a cutting‑edge technology company that simplifies cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will think big, bold, and scrappy, with a bias for action and a strong sense of responsibility.
We prioritize career development. At DO, you’ll work with some of the smartest and most interesting people in the industry. We provide resources for growth, including reimbursement for conferences, training, and education, and access to LinkedIn Learning’s 10,000+ courses.
We care about your well‑being. Regardless of your location, we offer a competitive array of benefits, from an Employee Assistance Program to flexible time off policies.
We reward our employees with base salary, bonus opportunities, and equity compensation, including Employee Stock Purchase Program participation.
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.
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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 part of a cutting‑edge technology company that simplifies cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will think big, bold, and scrappy, with a bias for action and a strong sense of responsibility.
We prioritize career development. At DO, you’ll work with some of the smartest and most interesting people in the industry. We provide resources for growth, including reimbursement for conferences, training, and education, and access to LinkedIn Learning’s 10,000+ courses.
We care about your well‑being. Regardless of your location, we offer a competitive array of benefits, from an Employee Assistance Program to flexible time off policies.
We reward our employees with base salary, bonus opportunities, and equity compensation, including Employee Stock Purchase Program participation.
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.
#J-18808-Ljbffr