Domino Data Lab

πŸ‘₯ 251-500πŸ’° Series F over 2 years agoArtificial Intelligence (AI)Big DataMachine LearningAnalyticsEnterprise ApplicationsData MiningEnterprise SoftwareSoftwareπŸ’Ό Private Company
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Domino Data Lab empowers data science teams at leading enterprises with its open data science platform. We help organizations manage and scale data science initiatives, accelerating breakthrough research and the delivery of high-impact AI models. Our platform is used by companies like Allstate, Dell Technologies, and Bayer to drive innovation across various sectors, including finance, healthcare, and manufacturing. We're a rapidly growing company with a strong engineering culture focused on building scalable, reliable, and collaborative solutions. Our tech stack includes technologies like Apache, Kubernetes, Docker, AWS, Azure, and various AI/ML frameworks. We prioritize a remote-first work environment, fostering a diverse and inclusive team of highly skilled engineers and data scientists. Our commitment to innovation is reflected in our continued growth and partnerships with leading investors such as Sequoia Capital, Coatue Management, and NVIDIA. Domino's culture values continuous improvement, collaboration, and transparency. We encourage employees to embrace a growth mindset and contribute their unique perspectives. We actively promote professional development and provide opportunities for continuous learning. We are deeply invested in enabling the development and deployment of cutting-edge AI, creating solutions that address some of the world's most critical challenges. With significant funding and a strong track record of success, Domino Data Lab is poised for continued expansion and leadership in the data science space. We offer a dynamic and rewarding work environment for individuals seeking to make a real-world impact through the power of data science and AI.

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πŸ“ US

🧭 Full-Time

πŸ’Έ 163000.0 - 189000.0 USD per year

πŸ” Software development for data science and AI solutions

  • 5+ years of experience in backend development, especially in distributed computing with Hadoop, Spark, Kafka.
  • Experience in API design and development, e.g., RESTful APIs, GraphQL with a focus on integrating backend and front-end systems.
  • Strong proficiency in Java, Scala, Go, or Python, dedicated to building high-performance backend solutions.
  • Skilled in enhancing backend performance in cloud environments, well-versed in Docker, Kubernetes, and CI/CD practices.
  • Experience building production-grade software, preferably in Scala or Go.
  • Comfortable in dynamic, fast-paced settings with strong problem-solving skills and a comprehensive understanding of system design and architecture.
  • Strong familiarity with service-oriented architecture (SOA), adept at designing and developing modular, maintainable services for seamless system integration.
  • Ability to work independently and be a reliable teammate.

  • Design and develop software solutions that improve Domino’s user experience with regards to the new, highly-sought Governance feature.
  • Extend and contribute enhancements to the open-source software powering Domino.
  • Create technical designs and clearly communicate them to cross-functional stakeholders.
  • Enable fellow engineers to achieve high quality through design and code reviews.
  • Work with product managers to ensure solutions are well planned and delivered on-time.

Backend DevelopmentDockerGraphQLPythonHadoopJavaKafkaKubernetesGoSparkCI/CDRESTful APIsScala

Posted about 1 month ago
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πŸ“ US

πŸ’Έ 200000 - 235000 USD per year

πŸ” Enterprise AI

  • 8+ years previously in a software engineering individual contributor role.
  • Strong Background in AI/ML: Extensive experience in designing, building, and deploying AI/ML models.
  • Building Scalable Systems: Hands-on experience in developing high-performance back-end systems in distributed computing environments.
  • Collaboration Across Teams: Experience working closely with cross-functional teams.
  • API Development: Designing secure, scalable APIs (e.g., RESTful APIs, gRPC).
  • Performance Optimization: Profiling and optimizing back-end performance in cloud environments.
  • Testing and CI/CD: Using robust testing frameworks and setting up CI/CD pipelines.
  • Distributed Computing: Experience with frameworks like Apache Spark, Azure ML, or SageMaker is a plus.
  • Cloud Platforms: Proficiency with AWS, Azure, GCP.

  • Collaborate with customers to design solutions for deploying models to platforms like AWS SageMaker and Azure ML.
  • Introduce a 'Data Science Catalog' for discovering and summarizing global data science resources within Domino.
  • 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.

AWSDockerArtificial IntelligenceGCPKubernetesMachine LearningAlgorithmsAzureData sciencegRPCSparkCollaborationCI/CDRESTful APIs

Posted about 2 months ago
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πŸ“ US

πŸ’Έ 163000 - 189000 USD per year

πŸ” Life Sciences

  • 5+ years previously in a software engineering individual contributor role.
  • Experience in building scalable systems and managing high-performance back-end systems.
  • Cross-functional collaboration skills, integrating back-end systems with front-end and third-party services.
  • API development experience, particularly with RESTful APIs and gRPC.
  • Performance optimization abilities in cloud environments and with Docker and Kubernetes.
  • Testing and CI/CD experience for robust testing frameworks and maintaining pipelines.
  • Familiarity with distributed computing frameworks like Apache Hadoop, Spark, Ray.
  • Proficiency in back-end programming languages such as Python, Java, Scala, or Go.
  • Experience with service-oriented architectures and modular system design.
  • Knowledge of machine learning workflows and infrastructure is a plus.

  • Enhance Domino Datasets functionality to allow access via APIs.
  • Improve Git repository and version control support within Domino Projects and Workspaces.
  • Design and implement regulatory compliance features aligned with FDA requirements.
  • Build end-to-end audit logging for comprehensive workflow transparency.
  • Automate external data version tracking for third-party data sources.
  • Optimize workspace performance focusing on Kubernetes-based compute-on-demand IDE functionality.

DockerPythonApache HadoopGitHadoopJavaKubernetesMachine LearningGogRPCSparkCollaborationCI/CDRESTful APIsCompliance

Posted about 2 months ago
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