DigitalOcean – Senior Machine Learning Engineer – Full Time

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 solving complex cloud infrastructure challenges for our customers.

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. Technical depth, excellent communication skills and a self-starter mentality are needed.

 What You Will Be Doing: 

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

What We’ll Expect From You:

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

Extra Credit: 

Cloud certifications are highly desired
Programming/Scripting: Ruby, Python, Go, Bash
Source Code: Git
Automation: Terraform, Ansible, Chef, Puppet, Saltstack
Virtualization: KVM, Xen
Databases: MongoDB, MySQL, Redis, PostgreSQL
Open Source: CoreOS, Docker, Kubernetes, Vagrant
DigitalOcean: API, libraries, services

Why You’ll Like Working for DigitalOcean:

We reward our employees. The base salary range for this position is $114,200-171,400 based on relevant years of experience and skills. The salary range for this role is specific to candidates located within the U.S. and will vary for candidates outside the U.S.. Employees 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 grants of equity upon hire and the option to participate in our Employee Stock Purchase Program.
We value development. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that is always challenging our teams and employees to continuously grow. We maintain a growth mindset in everything we do and invest deeply in employee development through formalized mentorship and other internal programs. We provide all employees with reimbursement for relevant conferences, training, and education.
We care about your well-being. In addition to cash and equity compensation, we also offer employees a competitive array of benefits. In the United States, these include health insurance, flexible vacation, retirement benefits, a generous parental leave program, and additional resources to support employees’ overall well-being. While the philosophy around our benefits is the same worldwide, specific benefits may vary in other countries due to local regulations and preferences.
We value diversity and inclusivity. We are an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

*This is a remote role

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