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DigitalOcean

Senior Software Engineer - AI/ML

Sorry, this job was removed at 01:21 p.m. (PST) on Wednesday, May 13, 2026
In-Office
Seattle, WA, USA
In-Office
Seattle, WA, USA

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Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here.  We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in 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 a Senior Software Engineer to build features and improvements end to end to make accelerated compute simple and accessible for everyone.

The AI/ML team is responsible for building an AI platform to manage OSS and custom models across modalities (LLMs, images, audios, videos) on top of a high-performance inference engine, to ensure the latest SOTA models are always available at peak performance. We’re a fast-paced team looking to build the next generation of AI/ML workflows on DigitalOcean.

What You’ll Be Doing:
  • Own a technical area by providing technical leadership for a team
  • Drive large cross-functional projects independently to completion
  • Work primarily in Python, and Go to build and scale model services such as inference, fine-tuning, model benchmarks and evaluations
  • Maintain and develop APIs and SDKs
  • Collaborate on design and UX
  • Build and scale products to achieve operational excellence
  • Independently ship product features from planning to launch to maintenance with high autonomy
  • Collaborate with other engineers to find elegant architectures and solutions
What You’ll Add to DigitalOcean:
  • Own a technical area by providing technical leadership for a team
  • Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, language modeling, computer vision)
  • Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
  • 4+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
  • Demonstrated design and UX sensibilities, especially for technical teams
  • Knowledge of API standards including REST, Python, or Go
Compensation Range: 
  • $154,400.00 - $193,000.00

*This is a hybrid role

JR: 2026-7447

#LI-Hybrid

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 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.
  • DigitalOcean is an equal-opportunity employer. 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.

Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.

DigitalOcean Bellevue, Washington, USA Office

DigitalOcean Seattle, WA Office

10700 Northup Way, Bellevue, Washington, United States, 98004 4163

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

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