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Domino Data Lab

Makes software for building AI at regulated firms

Forward Deployed Engineer - Life Sciences

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeBarcelona, SpainNo salary listedRemote

About the Job

Requirements

  • Strong engineering background with deep proficiency in Python, and familiarity with SQL, R, and Bash.
  • Experience with Kubernetes and managed Kubernetes solutions such as EKS, AKS, or GKE, Docker, and cloud architecture on AWS, Azure, or GCP; ability to troubleshoot networking, compute, and platform issues.
  • Track record of delivering machine learning workflows, model deployment and monitoring, GPU workloads, and generative AI or agent frameworks.
  • Experience operating within or consulting for highly regulated or constrained environments, including navigating compliance rules, data security hurdles, and infrastructure limits.
  • Ability to run structured discovery conversations, lead technical solutioning sessions, and translate customer requirements into buildable, tested solutions.
  • Ability to work effectively amid ambiguity and become productive quickly in an unfamiliar codebase.

Responsibilities

  • Learn Domino platform mechanics and core user and administrator functionalities, shadow the customer's environment, and pair with a senior Forward Deployed Engineer to learn the client's data, tooling stack, and commercial objectives.
  • Take full customer ownership across engagements and execute independently against a prioritized backlog managed by an Engagement Manager.
  • Build and deploy production-grade solutions across the machine learning operations lifecycle, including development, deployment, and monitoring, and advise data science teams on Domino best practices.
  • Lead and advise on key accounts as a trusted advisor to technical and business stakeholders.
  • Author reusable playbooks, integration templates, and deployment guides for the shared knowledge base to increase delivery speed across the Forward Deployed Engineer practice.
  • Translate field intelligence into product feedback and route platform signals to Site Reliability Engineering, Support, and Product teams to shape the product roadmap.
  • Build and deploy production-grade artificial intelligence solutions in customer environments, including specialized inferencing workflows, custom cloud and data integrations, interactive applications, and solutions involving Statistical Computing Environments and clinical customer relationship management.

About the Company

Domino Data Lab

Makes software for building AI at regulated firms

Domino Data Lab makes software that large companies and government agencies use to build and govern AI, with a focus on heavily regulated fields such as drug development, banking, and defense. Its platform, launched in 2014, was one of the first to package each data science project in a container, a sealed software setup, so results can be rerun exactly. Data scientists write code in Python, R, or SAS and train models on their company's own servers or any major cloud, while Domino logs each step so auditors can trace how a result was made. Customers pay subscriptions priced by the number of users and run Domino themselves or as a service Domino hosts. Domino was founded in 2013 and is based in San Francisco.

Company size
201-500
Company stage
Series F
Total funding
$226.6M
Headquarters
San Francisco, CA
Founded
2013

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