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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Research Engineer - AI & Machine Learning - **Company:** Pfizer Inc. - **Location:** United States (Remote available) - **Experience:** Starter - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Clinical Data Repository, Cyber Security, High-Level Architecture, Infrastructure as a Service (IaaS), Python (Programming Language), Machine Learning, Open Source Technology, Tensorflow, Reinforcement Learning, Information Technology, Open Network Automation Platform, Data Generation - **Published:** September 30, 2026 - **Apply:** https://www.builtincolorado.com/auth/login?destination=/job/staff-research-engineer-ai-machine-learning/11431393 ## About the Role * Ph.D. or Master's degree in Artificial Intelligence, Machine Learning, Computer Science, or a closely related technical field. * 7+ years of professional experience, including significant research engineering experience in machine learning or frontier AI systems. * Strong foundations in machine learning and hands-on experience designing experiments, training models, evaluating models, or developing AI systems. * Demonstrated research experience in at least one of the following: * Synthetic or agentic data generation * Reinforcement learning or post-training * Model understanding * AI evaluation * AI benchmarks * AI agents or tool-using systems Strong Python programming skills with the ability to implement, test, and iterate quickly in research environments. Experience with modern AI/ML frameworks, tooling, and research workflows. Strong scientific judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Excellent technical communication skills and ability to work independently across research and engineering teams. ## Description We are looking for a Staff Research Engineer to advance research and practical innovation in frontier AI systems. You will investigate high-impact questions, design rigorous experiments, build research-grade prototypes and tooling, and collaborate across Research, Engineering, Product, and Operations teams., * Investigate the capabilities, limitations, and training methods of frontier AI systems. * Formulate research questions that inform AI products, platforms, and technical strategy. * Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. * Stay current with advances in machine learning and identify opportunities for meaningful technical contributions. * Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. * Train, test, and evaluate models using modern AI and machine learning tools. * Analyze experimental results and develop clear, evidence-based conclusions. * Establish rigorous practices for data quality, reproducibility, experimental design, and evaluation. * Iterate rapidly from research hypotheses to validated technical insights. * Collaborate with Research, Engineering, Product, and Operations teams to translate findings into practical applications. * Communicate technical findings to both specialized and cross-functional audiences. * Contribute to technical reports, publications, open-source projects, workshops, or conferences where appropriate. * Mentor engineers and researchers and contribute to technical discussions and peer review., Manages packaging supply chain operations across assigned markets, including category strategy execution, strategic sourcing, supplier relationship management, negotiations, contracts, supplier performance, supply assurance, risk mitigation, cost optimization, and supply planning. Partners with product development, quality, commercial, procurement, and suppliers to ensure continuity, quality, service, innovation, and financial performance. Requires strong commercial, analytical, stakeholder management, and procurement expertise., Promotes hematology pharmaceutical products to healthcare professionals, manages a geographic territory, builds relationships with key opinion leaders, and achieves sales targets. Responsibilities include presenting clinical data, executing promotional strategies, monitoring competitors and market trends, maintaining compliant customer records, preparing reports, and using omnichannel and digital sales tools. The role requires hematology experience, medical representative experience, scientific knowledge, strong selling and presentation skills, and a pharmacy or related scientific degree. Top Skills: ExcelMicrosoft OutlookMicrosoft PowerpointMicrosoft WordPfizer SoftwareSales Analytics Platforms Ericsson Architect 3 Days Ago In-Office or Remote Entry level Entry level Cloud * Information Technology * Internet of Things * Machine Learning * Software * Cybersecurity * Infrastructure as a Service (IaaS) Designs and supports IP core and transport network solutions for customer projects. Responsibilities include requirements analysis, high-level architecture, integration planning, troubleshooting, testing, acceptance, migration, technical documentation, stakeholder coordination, customer workshops, and operational handover. The role also supports proposals and solution estimates while contributing to network automation, knowledge sharing, and Ericsson solution reuse. Top Skills: BgpCcdCcnaCcnpCiscoCloud InfrastructureCnisEricsson Ip NetworkingEricsson PlatformsEvolved Ip NetworkHuaweiIp NetworkingIp/MplsIs-IsJncipJuniperL2/L3 VpnsNetwork AutomationNetwork ResiliencyNetwork SecurityNetwork SynchronizationNfviNokiaObservabilityOspfQosRoutingScriptingSwitchingTelecommunicationsTelemetryTraffic Engineering What you need to know about the Colorado Tech Scene With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation. Key Facts About Colorado Tech * Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey) * Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3 * Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech * Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook) * Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures * Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute