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DigitalOcean // cloud infrastructure management
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We want people who are passionate about understanding Generative AI deeply to drive companies forward.

We are seeking for a Senior AI/ML Engineer to drive outcomes through teams by leveraging advanced AI/ML knowledge & hands-on research in generative AI.

The Applied AI/ML Research team at DigitalOcean is dedicated to being at the forefront of advanced AI/ML innovation. You will engage in researching & benchmarking generative AI models, evaluating technology partners, & playing a key role in building & enhancing products that leverage these advanced capabilities.

What Youll Be Doing:

  • Guide teams to major deliverables with knowledge & expertise in AI/ML, particularly in generative models.
  • Own a technical area by providing technical leadership for a team focused on advanced AI/ML innovations.
  • Drive large cross-functional projects independently to completion, emphasizing the integration of creative AI technologies.
  • Partner with Product & Engineering to ensure they are aware of the cutting edge & can leverage knowledge into products
  • Evaluate technologies & potential partners to find the best fit for DigitalOcean
  • Participate & support in engineering excellence
  • Independently complete projects from planning to completion with high autonomy
  • Collaborate with other engineers to find elegant architectures & solutions that enhance innovative AI capabilities.

What Youll Add to DigitalOcean:

  • Define business requirements to deliver through a team & communicate with different audiences, leveraging expertise in large language models (LLMs) & generative AI.
  • Own a technical area by providing technical leadership for a team
  • Strong knowledge in AI/ML, GenAI, infrastructure, & developer tools, particularly in creating content generation pipelines
  • Able to make effective trade-offs in regards to both engineering, product, research, & business, while balancing short term & long term needs
  • Experience with LLMs, transformers, model inference, pre-training, fine-tuning, data platforms, & infrastructure
  • 8+ years relevant industry experience in a fast-paced, high growth tech environment delivering business outcomes

Why Youll Like Working for DigitalOcean:

  • We innovate with purpose. Youll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud & 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, & scrappy, like an owner with a bias for action & a powerful sense of responsibility for customers, products, employees, & decisions. 
  • We prioritize career development. At DO, youll do the best work of your career. You will work with some of the smartest & 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, & education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth & 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 & preferences.
  • We reward our employees. The salary range for this position is between $190,000.00 - $217,400.00 based on market data, relevant years of experience, & skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company & individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire & the option to participate in our Employee Stock Purchase Program. 
  • We value diversity & inclusion. We are an equal-opportunity employer, & recognize that diversity of thought & background builds stronger teams & products to serve our customers. We approach diversity & inclusion seriously & 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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