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6 results for Staff Data Platform Engineer in San Francisco, CA

Data and Knowledge Engineer

Menlo Park, California
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Data & Knowledge Engineer Company OverviewA leading artificial intelligence and advanced analytics organization is seeking a Data & Knowledge Engineer to help power next-generation AI and decision-support platforms. Based in Los Angeles, California, the company specializes in integrating complex data from disparate sources into unified intelligence systems that support advanced analytics, automation, and operational decision-making. This is an opportunity to work on mission-critical initiatives involving large-scale data, knowledge graphs, and AI-driven applications. Role SummaryThe Data & Knowledge Engineer will lead the onboarding, transformation, and governance of complex multimodal data into scalable data and knowledge platforms. This role focuses on integrating structured and unstructured data sources, designing reusable data pipelines, developing entity resolution frameworks, and enabling high-quality data for analytics, retrieval, AI workflows, and geospatial applications. The ideal candidate combines strong data engineering expertise with experience in knowledge graphs, data quality, and large-scale information management. Key Responsibilities<ul><li>Design and develop scalable data ingestion pipelines for structured, unstructured, geospatial, and sensor-based data sources.</li><li>Build and maintain batch and streaming data processing systems across cloud, on-premises, and disconnected environments.</li><li>Develop integrations with APIs, databases, file systems, enterprise applications, and external data sources.</li><li>Design schema mapping, normalization, and transformation processes that support diverse customer data models.</li><li>Implement entity resolution, record linkage, deduplication, and data matching capabilities across multiple sources.</li><li>Preserve data lineage, provenance, auditing, and traceability throughout the data lifecycle.</li><li>Create data validation, monitoring, replay, and exception-handling processes for complex data environments.</li><li>Develop workflows for managing ambiguous records, conflicting information, and data quality issues.</li><li>Define and measure data quality metrics, onboarding effectiveness, and operational performance indicators.</li><li>Support knowledge graph, retrieval, AI, and analytics capabilities through high-quality governed datasets.</li><li>Partner with engineering and stakeholder teams to transform recurring onboarding requirements into reusable platform capabilities.</li><li>Contribute to platform architecture, engineering standards, and long-term data strategy initiatives.</li></ul>Additional Details<ul><li>Fully onsite 5 days a week</li><li>Full-time exempt position</li><li>Hands-on engineering role with substantial ownership and technical influence</li><li>Opportunity to work on large-scale data, knowledge graph, and AI-driven initiatives</li><li>Staff-level candidates may provide architectural leadership, mentorship, and engineering guidance</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-09-24T00:00:00Z

Agent Platform Engineer

Menlo Park, California
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Agent Platform Engineer Company OverviewA leading artificial intelligence and advanced analytics organization is seeking an Agent Platform Engineer to help develop next-generation AI orchestration and decision-support platforms. Based in Los Angeles, California, the company specializes in integrating complex data sources into scalable intelligence solutions that support mission-critical operations, advanced analytics, and organizational workflows. This is an opportunity to work on cutting-edge AI technologies within a highly collaborative and innovative engineering environment. Role SummaryThe Agent Platform Engineer will design, build, and optimize enterprise-grade AI platforms that connect structured and unstructured data, knowledge graphs, retrieval systems, and intelligent workflows. This hands-on role focuses on developing production-ready AI applications, agent frameworks, workflow orchestration systems, retrieval pipelines, and model-serving infrastructure. The ideal candidate combines strong software engineering fundamentals with expertise in AI systems, distributed architectures, and scalable platform development. Key Responsibilities<ul><li>Design and implement intelligent workflow systems for research, analysis, automation, and decision-support use cases.</li><li>Develop scalable retrieval, search, and knowledge management capabilities across structured and unstructured datasets.</li><li>Build backend services, APIs, and platform capabilities supporting AI-driven applications.</li><li>Create resilient workflow orchestration patterns for long-running, distributed, and fault-tolerant processes.</li><li>Develop authorization, permission management, auditing, and governance mechanisms within AI platforms.</li><li>Optimize retrieval, inference, and execution performance across diverse deployment environments.</li><li>Fine-tune, evaluate, and integrate open-source AI models to support specialized business workflows.</li><li>Implement model routing, inference optimization, caching, and fallback strategies.</li><li>Build evaluation frameworks that measure system accuracy, reliability, performance, and operational effectiveness.</li><li>Develop observability, monitoring, alerting, and troubleshooting capabilities across platform components.</li><li>Partner with product, data, machine learning, infrastructure, security, and customer-facing teams to deliver scalable solutions.</li><li>Contribute to technical architecture, engineering standards, and long-term platform strategy.</li></ul>Additional Details<ul><li>Fully onsite 5 days per week</li><li>Individual contributor role with substantial technical ownership</li><li>Opportunity to work on advanced AI, automation, retrieval, and knowledge graph technologies</li><li>Staff-level candidates may provide technical leadership, mentorship, and architecture guidance</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-09-24T00:00:00Z

Sr. Fullstack Engineer

San Francisco, California
onsite
Permanent / Full Time
200000 - 240000 USD / Yearly
Our client is a well-funded, early-stage technology company building AI-driven software that helps businesses automate complex operational and transaction-heavy workflows. The platform leverages modern AI technologies to streamline document processing, data extraction, and decision-making at scale.As the company continues to grow, they are looking to add a Senior Software Engineer to their San Francisco team.What You'll Do<ul><li>Design, build, and maintain backend services, APIs, and data pipelines that support high-volume business operations.</li><li>Develop and deploy AI-powered workflows that transform unstructured documents and real-world data into reliable, actionable outputs.</li><li>Build and enhance applications across the stack using React, TypeScript, Python, Go, and Node.js.</li><li>Partner with product and business stakeholders to solve operational challenges through software.</li><li>Own projects from architecture and development through deployment, monitoring, and ongoing improvements.</li><li>Help improve system scalability, reliability, and performance as the platform continues to grow.</li></ul>What’s Offered<ul><li>Competitive compensation package</li><li>Meaningful equity opportunity</li><li>Medical, dental, and vision coverage</li><li>High-impact role with significant technical ownership</li><li>Collaborative, low-bureaucracy environment</li><li>Opportunity to help shape both product and engineering strategy</li></ul>If you're interested in learning more about this opportunity, please apply directly or reach out for a confidential conversation.
2026-08-28T00:00:00Z

Machine Learning Engineer

Menlo Park, California
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Machine Learning Engineer Company OverviewBased in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence. Role SummaryThe Machine Learning Engineer will play a critical role in designing, training, deploying, and optimizing machine learning models that operate on large-scale temporal, geospatial, relational, and unstructured datasets. This position requires an experienced engineer who can independently own the full machine learning lifecycle, from dataset development and model architecture selection to deployment, monitoring, and continuous improvement. The ideal candidate brings broad expertise across computer vision, natural language processing (NLP), geospatial analytics, MLOps, and large-scale production machine learning environments. Key Responsibilities<ul><li>Design, train, evaluate, deploy, and optimize machine learning models across multiple production use cases.</li><li>Build predictive solutions for anomaly detection, forecasting, entity resolution, relationship prediction, risk assessment, and operational decision support.</li><li>Partner with data engineering teams to develop high-quality training datasets from structured, unstructured, temporal, relational, and geospatial data sources.</li><li>Design model architectures and select appropriate algorithms based on business objectives, data characteristics, and operational requirements.</li><li>Develop and maintain machine learning pipelines spanning data preparation, feature engineering, training, evaluation, deployment, and monitoring.</li><li>Build scalable solutions that leverage graph-based and knowledge graph-driven data architectures.</li><li>Develop models utilizing computer vision, NLP, geospatial analytics, and predictive modeling techniques.</li><li>Establish rigorous evaluation frameworks, baselines, performance metrics, and validation methodologies.</li><li>Design experiments that mitigate data leakage, model drift, bias, and changing data distributions.</li><li>Implement monitoring, observability, alerting, retraining, rollback, and model governance processes.</li><li>Maintain reproducible datasets, model artifacts, evaluation results, and deployment workflows.</li><li>Collaborate with distributed engineering teams to deliver reliable and scalable machine learning capabilities.</li><li>Improve model calibration, confidence scoring, uncertainty estimation, and explainability.</li><li>Contribute to technical architecture, machine learning standards, and long-term platform strategy.</li></ul>Additional Details<ul><li>Fully onsite 5 days a week</li><li>Highly collaborative environment with strong emphasis on machine learning, knowledge graphs, and data-driven decision support</li><li>Opportunity to influence technical direction, machine learning standards, and model lifecycle practices across multiple initiatives</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-09-24T00:00:00Z

Senior Systems Engineer

San Francisco, California
onsite
Permanent / Full Time
160000 - 170000 USD / Yearly
We are looking for a Senior Systems Engineer to strengthen and advance a secure, high-performing technology environment in San Francisco, California. This position plays a central role in support the infrastructure strategy across cloud services, on-premises systems, and network operations while ensuring dependable service delivery. Responsibilities:• Oversee the performance, security, and availability of infrastructure across internal and client-facing environments, including ownership Microsoft 365, Azure AD, Active Directory platforms.• Administer core security technologies such as Palo Alto firewalls, endpoint protection tools, and mobile device management solutions to protect systems and data.• Drive infrastructure initiatives from planning through execution, including upgrades, deployments, and improvements that support business and operational goals.• Provide advanced technical support for workstations, servers, mobile hardware, and telecommunications systems, resolving complex issues with urgency and precision.• Maintain accurate technical records, software inventories, patch schedules, and operational procedures to support compliance and continuity.• Partner with external service providers and internal teams to coordinate reliable, secure, and efficient infrastructure operations.• Deliver responsive support to senior leadership and participate in an after-hours on-call rotation as needed to maintain service stability.• Travel periodically to client locations to assist with network deployments, troubleshooting, and project-related implementation work.
2026-09-25T00:00:00Z

Business Analytics/Data Analyst

San Ramon, California
remote
Temporary / Contract
75 - 90 USD / Hourly
Robert Half Management Resources is looking for a Business Analytics/Data Analyst to support one of our clients on an interim basis. This role will contribute to Workday supply chain and procurement efforts by improving data quality, validating converted records, and resolving issues that affect system readiness. The position works closely with project stakeholders to ensure legacy information is accurately prepared, tested, and aligned with business rules in the target environment. Responsibilities:• Prepare, map, and transform legacy supply chain and procurement data for upload into Workday using approved conversion tools and templates.• Perform detailed comparisons between source records and Workday data to confirm completeness, accuracy, and adherence to defined business rules.• Investigate conversion failures and data-related defects, identify root causes, and coordinate fixes for issues affecting inventory, suppliers, requisitions, and purchasing records.• Partner with functional leads, analysts, and implementation team members to address data discrepancies and keep conversion activities moving on schedule.• Support unit, integration, and broader testing cycles by building reliable data sets and confirming converted information performs correctly in test environments.• Use Excel, SQL, and related analysis tools to cleanse, reconcile, and organize large datasets for migration and validation activities.• Track issues in project management or defect logging tools and provide clear updates on status, findings, and resolution progress.
2026-09-24T00:00:00Z