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 are seeking for a Sr. 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.
- 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
- 12+ years relevant industry experience in a fast-paced, high growth tech environment delivering business outcomes
- 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 $198,000.00 - $230,000.00 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.
*This is a remote role
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What We Do
DigitalOcean is the Inference Cloud — a full-stack, production-ready cloud platform built to run AI applications with predictable performance, sustainable economics, and radically simpler operations at scale.
We are built for teams turning AI into real products — not just training models. Our advantage is not fewer features, but fewer failure modes when operating AI at scale — combining minimal operational overhead, predictable cost efficiency, and a full-stack cloud that works as a system. Hyperscalers are broad by design. Neoclouds are infrastructure-first. DigitalOcean is inference-first — with a real cloud underneath. It combines inference-optimized compute, managed inference software, and integrated cloud capabilities that reduce operational burden for teams running real workloads. Inference is the foundation—not the boundary. Everything else builds on top of it.
Why Work With Us
At DO, we do career-defining work. We innovate with AI and build cutting-edge tech. Our rewards to match that intensity - to motivate you, recognize your impact, and give you what you need to thrive. If you have a growth mindset, like to think big and bold, and are energized by the fast-paced environment, you'll find your place here.
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Employees work remotely.
We commit to both remote work and in-person collaboration. These ways of working are dependent on specific roles and are mutually agreed upon by employees. In the US, we are mainly remote. In our APAC locations, we have a hybrid in-office approach.
