Senior Machine Learning Engineer, DigitalOcean

• Technical depth, excellent communication skills and a self-starter mentality are needed
• Proven professional experience with cloud infrastructure, or equivalent education
• Deep understanding and experience of a variety of AI/ML solutions from computer vision, to LLMs, and to speech-to-text
• Ability to take an AI/ML idea from model development, to testing, to deployment, to monitoring and managing
• Deep knowledge of Linux and distributed systems
• Programming/development experience
• Experience working in a pre-sales / technical consultant role
• Knowledge of provisioning and deployment strategies and tools
• Passionate about customer experience
• Track record of developing successful technical solutions to business problems for clients
• Ability to balance the demands of multiple stakeholders, define priorities and set appropriate expectations
• Passionate about technology and open source projects
• Strong communication skills, with the ability to explain technical concepts in clear and concise terms
• Quickly learn DigitalOcean systems and adapt to rapid changes
• Highly motivated with a self-starter mentality

Desirable

• We are looking for a Solutions Engineer/Machine Learning Engineer for our Growth team with expertise in cloud infrastructure to support the acquisition, growth and retention of our high-value customers, focusing on the exciting and cutting-edge space of Artificial Intelligence / Machine Learning
• Working directly with our AI/ML teams, the Solutions Engineer will be the technical subject matter expert on DigitalOcean’s portfolio, advising on best practices and guiding customers to the optimal solution to meet their business objectives
• The Solutions Engineer will work closely with other functions within DigitalOcean such as Product, Engineering and Operations to ensure the company is meeting the needs and insights for our AI/ML customers
• Day to day, we expect this role to be speaking with AI/ML customers around the world, highlighting Digital Ocean’s AI platform and taking a hands-on approach if needed to onboard and support customers, being a conduit to the engineering team to convey the needs of our AI/ML customers, and working on Professional Services contracts to build out AI/ML solutions from scratch
• This is an amazing growth opportunity for a highly motivated individual to work on the cutting edge of AI, developing solutions for a wide range of customers and to keep pace with the rapidly changing industry
• Develop deep expertise on the DigitalOcean product portfolio and the evolving Cloud landscape with a key focus on our AI/ML offerings
• Drive adoption from new customers as a key part of the business expansion process through technical consultation on multiple channels (e.g. video calls, email, Slack, webinars, etc.)
• Build out full AI/ML solutions for customers who work with DO’s professional services offering
• Diagram and plan infrastructure architecture to support specific use cases, and comfortably to explain in detail
• Work directly with Customer Success to ensure expansion and retention of businesses as they build on top of our cloud
• Liaise with Engineering and Support teams to ensure customer escalations and obstacles to growth are resolved in a timely fashion
• Conduct demonstrations to clients clearly articulating DigitalOcean product benefits and functionality
• Contribute to internal and external technical documentation such as The Navigator’s Guide to DO
• Provide technical training to enable our teams and our partners
• Identify and communicate process improvement suggestions, drive technical best practices within the organization, and communicate customer feedback and trends into the product lifecycle process
• Work both independently and collaboratively with a Global team of highly talented Solutions Engineers