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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** Iterable, Inc. - **Location:** Denver, CO, United States (Remote available) - **Experience:** Expert - **Salary:** $150,000.0 - $250,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Audit Trail, Business Software, Data Architecture, Software Debugging, Distributed Computing Environment, Fraud Prevention and Detection, Python (Programming Language), Machine Learning, Operational Databases, Recommender Systems, Runbook, Software Deployment, Web Services, Pulumi, Feature Store, Feature Engineering, Apache Spark, Deep Learning, Backend, Kubernetes, Low Latency, Production Code, Machine Learning Operations, Gsuite, Terraform, Data Pipelines, Databricks - **Published:** November 7, 2026 - **Apply:** https://www.builtincolorado.com/auth/login?destination=/job/senior-machine-learning-engineer-nova-intelligence/12131601 ## About the Role * 5+ years of hands-on MLE experience putting complex models into production at scale. * Databricks & Spark mastery: Real experience building, optimizing, and scaling production data pipelines using Databricks. * Production-level Model Engineering: Proven track record of taking deep learning and ensemble architectures from training through optimization to production deployment. * Production Code: Strong Python and/or Scala skills with an emphasis on readable, modular, and maintainable systems code. * Systems & Infra Experience: Hands-on work with microservice backends, distributed compute (Ray/Spark), and containers (Kubernetes). * Pragmatism: You care more about serving latency, reliability, and measurable customer impact than novel theoretical architectures. Bonus points: * Prior work on large-scale recommendation systems. * Experience setting up feature stores or model observability tools. * Exposure to Infrastructure-as-Code (Terraform, Pulumi). ## Description Design and build production machine learning systems for personalization, recommendations, and campaign optimization. Own the full model lifecycle, including experimentation, feature engineering, distributed training, deployment, latency monitoring, and online testing. Build scalable data pipelines and model-serving architectures with Databricks, Spark, AWS, Ray, and Kubernetes. Partner with platform teams, mentor engineers, and guide technical direction for machine learning capabilities., As a Senior Machine Learning Engineer at Iterable, you will design and build the end-to-end machine learning systems that power intelligence across our product. As a high-tech marketing platform, we work with thousands of large-scale and diverse enterprise customers. The scale and diversity of these workloads - supporting personalization with deep customizability - present unique and exciting challenges for machine learning at production scale. You will have real autonomy: from research and experimentation through to models running reliably in production, you'll own the systems and models behind our ML products and help shape the direction of AI at Iterable. One of our core values is a growth mindset, and Iterable is a company where everyone can grow. If this role excites you, please apply - we value applicants for the skills they bring beyond a job description. What You'll Do * Build and ship core product ML capabilities, including send-time/frequency optimization, recommendation engines, and campaign personalization. * Own the full model lifecycle end-to-end: EDA, feature engineering, distributed training, production deployment, latency monitoring, and online experimentation (e.g., multi-armed bandits, ensemble models). * Build and scale our data pipelines and serving architectures using Databricks, Spark, AWS, Ray, and Kubernetes. * Partner with Backend and Platform teams to elevate feature serving, improve overall data architecture, and establish engineering standards across the team. * Mentor engineers on the team and help set the technical direction for ML at Iterable., * Enhancing models that optimize send time and frequency of outgoing message campaigns. * Designing data pipelines that make it easy to implement and test new models. * Working with platform engineers to enhance our feature- and model-serving architecture. * Benchmarking and improving our multi-armed bandit implementation. * Building tools to visualize and debug features and models., Leads a team managing ADA and PWFA accommodation claims, ensuring accurate, timely, compliant claim adjudication and strong customer service. Responsibilities include coaching employees, managing performance and workloads, reviewing claim files and calls, identifying process improvements, administering concurrent disability and leave claims, mitigating risk, and communicating operational updates. The role requires disability or absence management expertise, sound judgment, knowledge of applicable regulations, and effective stakeholder collaboration. Top Skills: Microsoft Office Suite OneImaging Systems Administrator An Hour Ago Remote USA 60K-75K Annually Mid level 60K-75K Annually Mid level Healthtech Administer the company's SaaS, cloud, identity, endpoint, and security platforms. Manage access, SSO, MFA, SCIM, audit logging, vendor security, user lifecycle, device policies, and automation using scripts and APIs. Respond to security incidents, maintain compliance controls and runbooks, provide tier 1-2 IT support, manage hardware and assets, and document internal procedures. The role requires broad systems ownership across AWS, Google Workspace, Rippling, and numerous business applications. Top Skills: ActivecampaignAdobeAdvancedmdAircallAmazon Web Services (Aws)AnthropicAws CloudtrailAws GuarddutyAws IamAws Security HubBashBrazeDatabricksDatadogFigmaGoogle SecopsGoogle WorkspaceGreenhouseHipaaIntercomIntuneIso 27001JAMFKandjiLinearLinkedInLucidmacOSMdmMfaMongodb AtlasNordvpn TeamsNotionOpenai ApiPostmanPowershellPythonRest ApisRipplingSalesforceSAMLScimScribeSentrySoc 2SplunkSsoStytchTerraformTwilioVirtruWaystarWindowsZendeskZoom BECU