Job Description
Who we are
At Domino we build software that helps the largest AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment MLOps capabilities and novel features for collaboration reuse and reproducibility — all of which make data science teams more productive reduce time to value and ensure compliance. Our customers — like Johnson & Johnson GSK Bristol Myers UBS FINRA and the US Navy — are using our software to solve some of the most important challenges in the world such as developing new medicines securing our financial markets or protecting our country. Backed by Sequoia Capital Coatue Management NVIDIA Snowflake and other leading investors we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today we believe that the future is still being invented — and we want to be the ones building it. For more information visit www.domino.ai
What we are building
The Model Development Lifecycle Team is building a cutting-edge platform to simplify the entire machine learning journey. From development and training to deployment and management we empower teams to turn data into actionable insights. Our platform supports:
- Seamless API Integration: Deploy models as APIs for consistent use across applications whether on-premises in enterprise infrastructures or through third-party hosting.
- Collaboration and Discoverability: Use our model registry to version store and easily find models across the organization.
- Scalable Training Resources: Leverage advanced tools like GPUs Ray and Spark to meet the needs of diverse AI projects.
By supporting organizations in developing registering and scaling AI models we enable impactful insights and innovation across the enterprise.
What your impact will be
In your first year you will:
- Integrate model monitoring to provide a holistic view of deployment health and performance
- Enhance tagging capabilities across Domino entities to improve discoverability and tracking
- Expand LLM hosting capabilities to address customer needs for scale performance and logging
- Innovate within our Domino Apps offering by incorporating feature requests from major customers
What we look for in this role
- Building Scalable Systems: Hands-on experience developing and managing high-performance back-end systems in distributed computing environments
- Collaboration Across Teams: Working closely with cross-functional teams to integrate systems with front-end interfaces and third-party services
- API Development: Designing and implementing secure scalable APIs (e.g. RESTful APIs gRPC)
- Performance Optimization: Profiling and optimizing back-end performance especially in cloud environments or with container technologies like Docker and Kubernetes.
- Testing and CI/CD: Using robust testing frameworks (unit integration end-to-end) and setting up CI/CD pipelines
- ML Model Deployment: Familiarity with model registries versioning and lifecycle management tools like MLflow or KubeFlow is a big plus
- Distributed Computing: Experience with frameworks like Apache Spark Azure ML or SageMaker is a plus
- Cloud Platforms: Proficiency with cloud providers (AWS Azure GCP) and deploying services in these environments
- Back-End Development: Expertise in languages such as Python Java Scala or Go
What we value
- We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
- We believe in individuals who seek truth and speak the truth and can be their whole selves at work
- We value all of you that believe improving is always possible At Domino Everything is a work in progress – we can do better at everything
- We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company
- We strongly believe in the value of growing a diverse team and encourage people of all backgrounds genders ethnicities abilities and sexual orientations to apply
#LI-Remote
The annual US base salary range for this role is listed below. For sales roles the range provided is the role's On Target Earnings ("OTE") range meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range will be narrowed during the interview process based on a number of factors including the candidate's experience qualifications and location. Additional benefits for this role may include: equity company bonus or sales commissions/bonuses; 401(k) plan; medical dental and vision benefits; and wellness stipends.
Top Skills
What the Team is Saying
What We Do
Domino Data Lab powers model-driven businesses with its leading Enterprise AI platform trusted by over 20% of the Fortune 100. Domino accelerates the development and deployment of data science work while increasing collaboration and governance. With Domino enterprises worldwide can develop better medicines grow more productive crops build better cars and much more. Founded in 2013 Domino is backed by Coatue Management Great Hill Partners Highland Capital Sequoia Capital and other leading investors. For more information visit www.domino.ai
Why Work With Us
We’re looking for sharp scrappy people who crave a high degree of ownership are laser-focused on personal growth and can stick the landing between high standards and low ego. In our fast-paced environment you’ll find all the white space and opportunity you need to thrive.
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Date Posted
04/08/2026
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