Remote opportunity at
Domino Data LabStaff Software Engineer, IDSM
Domino Data Lab builds a platform that helps large organizations develop, deploy and manage data science and AI models at scale. The company describes itself as…
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About This Role
Domino Data Lab builds a platform that helps large organizations develop, deploy and manage data science and AI models at scale. The company describes itself as a small team with a startup spirit. Its customers include Johnson & Johnson, GSK, UBS and the US Navy. This full-time, remote Staff Software Engineer role sits on the Model Development Lifecycle team. The team is building tools for the entire model journey. These…
Job Description
Domino Data Lab builds a platform that helps large organizations develop, deploy and manage data science and AI models at scale. The company describes itself as a small team with a startup spirit. Its customers include Johnson & Johnson, GSK, UBS and the US Navy. This full-time, remote Staff Software Engineer role sits on the Model Development Lifecycle team.
The team is building tools for the entire model journey. These include deploying models as APIs, a model registry for versioning and locating models, and scalable training resources that use GPUs, Ray and Spark. In the first year, the engineer would help customers plan deployment paths onto AWS SageMaker and Azure ML, add monitoring for deployment health, improve tagging across platform entities, and expand LLM hosting for scale, performance and logging.
The work is backend-heavy. It includes designing secure, scalable interfaces, profiling and tuning performance in cloud and container environments, and setting up automated testing and CI/CD pipelines. The engineer also works with front-end teams and third-party services, and introduces a Data Science Catalog that helps people find and summarize resources across the company.
The posting asks for at least eight years as an individual contributor in software engineering, along with a strong AI and machine learning background that covers model development, training and lifecycle management. Familiarity with distributed frameworks such as Spark, or with Azure ML or SageMaker, would help. The posted US base salary band is $200,000 to $235,000 USD. The posting says other benefits may include equity, a company bonus, a 401(k) retirement plan, health coverage and wellness stipends.
Responsibilities
- Help customers plan deployments of models onto SageMaker and Azure ML
- Launch a Data Science Catalog that helps teams find and summarize resources
- Add model monitoring for deployment health and performance
- Improve tagging across platform entities to aid discovery
- Expand LLM hosting for scale, performance and logging
Requirements
- At least eight years as an individual contributor in software engineering
- Strong AI and ML background, including building, deploying and tuning models
- Hands-on work building fast backend services for distributed systems
- Experience designing secure, scalable interfaces such as REST or gRPC
- Performance profiling and tuning of server-side code in cloud or container settings
- Experience with unit, integration and end-to-end test frameworks and CI/CD pipelines
- Experience deploying services on AWS, Azure or GCP
- Experience working with cross-functional teams and third-party services
Qualifications
- Familiarity with Spark, Azure ML or SageMaker would help
Core Skills
Benefits
- Equity
- Company bonus
- 401(k) retirement plan, health, dental and vision coverage
- Wellness stipends
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this job remote?
Yes. The posting lists the role as remote and full-time.
What experience is required?
The posting asks for at least eight years as an individual contributor in software engineering, plus a strong AI and machine learning background.
What is the base salary?
The posted US base salary band is $200,000 to $235,000 USD. The posting says the figure may be narrowed during interviews based on experience, qualifications and location.
What benefits are listed?
The posting says benefits may include equity, a company bonus, a 401(k) retirement plan, health coverage and wellness stipends.
How do I apply?
The posting does not describe an application process.
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