Senior Software Engineer II - AI/ML
DigitalOcean
- Austin, Texas, United States
- Austin, Texas, United States
About
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
8+ 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
$167,200 - $209,000
This is a remote role
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.
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Languages
- English
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