Do you ever wonder what happens inside the cloud?

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.

We want people who are passionate about taking complex concepts and providing a simple and accessible experience for users. 

We are looking for smart people with experience in AI/ML to join our team. You should be curious about where AI is heading, and passionate about using AI/ML to build software to make life easier for people. 

What are we looking for:

• Software Engineer - AI/ML with prior experience using and training Transformer or similar models 
• Python and/or Go lang experience
• Jupyter Notebooks experience
• Experience in fine-tuning open source LLM models
• Experience with Prompt Engineering
• Experience in curating data for training LLM models
• Experience in building validations for LLM models
• Experience in communicating clearly both orally and verbally.
• Experience building REST APIs in Python and/or Go

What You’ll Be Doing: 

• Fine-tuning and validating self-hosted LLM models
• Prompt engineering to get the most out of a GenAI models
• Building data pipelines 
• Integrating LLMs with existing products
• Operationalizing LLMs on the cloud
• Building toolsets and workflows in Python and/or Go
• Contribute in the team to ship product features from planning to launch to maintenance with ownership
• Collaborate with other engineers to find elegant architectures and solutions 
• Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs 

Why You’ll Like Working for DigitalOcean:

• We are proud to work here. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud computing 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 your overall well-being, from one-time work from home stipend to wellness allowance 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. 
• We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers. We approach diversity and inclusion seriously and thoughtfully. 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.

*This is a remote role

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