What are the responsibilities and job description for the Staff AI / ML Engineer position at DigitalOcean?
We want people who are passionate about understanding Generative AI deeply to drive companies forward.
We are seeking for a Staff AI / ML Engineer to drive outcomes through teams by leveraging advanced AI / ML knowledge and 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 and benchmarking generative AI models, evaluating technology partners, and playing a key role in building and enhancing products that leverage these advanced capabilities.
What You'll Be Doing :
Guide teams to major deliverables with knowledge and 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 and Engineering to ensure they are aware of the cutting edge and can leverage knowledge into products
Evaluate technologies and potential partners to find the best fit for DigitalOcean
Participate and support in engineering excellence
Independently complete projects from planning to completion with high autonomy
Collaborate with other engineers to find elegant architectures and solutions that enhance innovative AI capabilities.
What You'll Add to DigitalOcean :
Define business requirements to deliver through a team and communicate with different audiences, leveraging expertise in large language models (LLMs) and generative AI.
Own a technical area by providing technical leadership for a team
Strong knowledge in AI / ML, GenAI, infrastructure, and developer tools, particularly in creating content generation pipelines
Able to make effective trade-offs in regards to both engineering, product, research, and business, while balancing short term and long term needs
Experience with LLMs, transformers, model inference, pre-training, fine-tuning, data platforms, and infrastructure
8 years relevant industry experience in a fast-paced, high growth tech environment delivering business outcomes
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 between $220,000.00 - $258,000.00 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.
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