<p><strong>Machine Learning Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>Based 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.</p><p><br></p><p><strong>Role Summary</strong></p><p>The 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. </p><p><br></p><p><strong>Key Responsibilities</strong></p><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>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>
<p><strong>Lead Data Engineer</strong></p><p><br></p><p><strong>Company Overview</strong> </p><p>A media organization is seeking a Lead Data Engineer to support enterprise data, analytics, and emerging technology initiatives. This role offers the opportunity to lead technical projects, mentor engineers, and help shape the organization's data strategy.</p><p><br></p><p><strong>Role Summary</strong> </p><p>The Lead Data Engineer will be a hands-on technical leader responsible for data engineering, analytics, automation, and AI-related initiatives. This role combines individual contribution, technical direction, team mentorship, and cross-functional collaboration.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Lead the design, development, and support of enterprise data solutions.</li><li>Provide technical leadership and establish development best practices.</li><li>Oversee data pipelines, integrations, reporting, and automation initiatives.</li><li>Partner with business and technology stakeholders to prioritize work and deliver solutions.</li><li>Monitor data quality, reliability, and operational performance.</li><li>Mentor team members and support their technical development.</li><li>Evaluate emerging technologies and identify opportunities for innovation.</li></ul>
We are looking for an Artificial Intelligence (AI) Engineer to join a team building intelligent applications and production-ready AI services in Irvine, California. This role combines software engineering, applied AI development, and operational ownership, with a focus on creating reliable user-facing tools and scalable backend systems. The ideal candidate brings hands-on experience with modern language model platforms, strong Python development skills, and the ability to translate business goals into practical AI solutions.<br><br>Responsibilities:<br>• Create and launch web-based products, AI-powered services, and multi-step agent workflows that support complex tool interactions and orchestration.<br>• Develop and support integrations with Anthropic platforms and Claude capabilities, including streaming responses, prompt optimization, caching strategies, and tool-enabled model behavior.<br>• Craft, refine, and assess prompts to improve consistency, safety, response quality, and cost performance across AI-driven features.<br>• Build backend REST APIs in Python and deliver front-end functionality in React and TypeScript to support AI-enabled user experiences.<br>• Manage deployment operations for AI systems by maintaining containerized services, delivery pipelines, cloud environments, and runtime monitoring.<br>• Design and tune database interactions for relational systems to ensure efficient querying and dependable application performance.<br>• Establish automated testing approaches for both standard software logic and probabilistic AI behavior, including evaluation workflows and regression coverage.<br>• Partner with technical and business stakeholders to convert operational needs into effective AI-based solutions and product enhancements.<br>• Produce clear technical documentation covering system architecture, prompt strategy, and the expected behavior and limitations of AI agents.
We are looking for an Artificial Intelligence (AI) Engineer to create intelligent applications and production-ready AI services that deliver measurable business value. This role is based in Irvine, California, and blends backend engineering, frontend development, and operational ownership to bring AI capabilities into real-world products. The ideal candidate is comfortable building agent-based workflows, shaping reliable prompt strategies, and partnering with stakeholders to turn complex needs into practical technical solutions.<br><br>Responsibilities:<br>• Create and launch web-based products, AI-enabled services, and multi-step agent workflows that support complex tool interactions and orchestrated decision-making.<br>• Develop and support integrations with leading language model platforms, including capabilities such as streaming responses, prompt optimization, tool invocation, and cached interactions.<br>• Craft, refine, and assess prompts to improve output quality while balancing consistency, safety considerations, and usage cost.<br>• Build Python-based REST APIs and React/TypeScript user interfaces that expose AI functionality in a scalable and user-friendly way.<br>• Manage deployment and operational processes for AI systems, including container builds, automated delivery pipelines, cloud hosting, and runtime observability.<br>• Design and optimize database queries for relational data stores to ensure strong performance and dependable access patterns.<br>• Establish testing approaches for both predictable application logic and variable AI behavior through evaluation harnesses, regression coverage, and automated validation.<br>• Work closely with cross-functional partners to define use cases, align technical choices with business priorities, and deliver effective AI-backed solutions.<br>• Produce and maintain clear technical documentation covering system architecture, prompt strategy, and the expected behavior and limitations of AI agents.
<p><strong>Software Engineer, AI</strong></p><p><br></p><p><strong>Company Overview</strong> </p><p>A growing organization is seeking an AI Engineer to develop automation, data, and AI-driven solutions that improve business processes and operational efficiency. This role offers the opportunity to work on innovative projects while helping shape the organization's use of emerging technologies.</p><p><br></p><p><strong>Role Summary</strong> </p><p>The AI Engineer will design, build, and support AI-powered applications, automation solutions, and data-driven workflows. The ideal candidate combines strong software engineering skills with experience delivering practical AI solutions in a business environment.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, and support AI-enabled applications and automation solutions.</li><li>Partner with business and technical teams to identify opportunities for process improvement.</li><li>Build integrations between AI solutions, data sources, and business applications.</li><li>Monitor solution performance and continuously improve reliability and effectiveness.</li><li>Develop and maintain technical documentation and best practices.</li><li>Support the evaluation and adoption of emerging AI technologies.</li></ul>
We are looking for a Systems Engineer to support and strengthen the technology environment for a dynamic school community in Newport Beach, California. This role focuses on keeping core infrastructure stable, secure, and well maintained while also delivering responsive technical support for users and classrooms. The ideal candidate brings strong hands-on networking experience, a service-oriented mindset, and the ability to manage both daily operations and longer-term improvement initiatives.<br><br>Responsibilities:<br>• Oversee the performance and upkeep of wired and wireless infrastructure by deploying, configuring, validating, and documenting network equipment in alignment with established technical designs.<br>• Support daily network operations to promote dependable connectivity and minimize service interruptions across campus systems.<br>• Review system activity, alerts, and performance data to identify issues early and maintain overall network health.<br>• Administer access controls, security configurations, and user account setup across systems to protect resources and ensure appropriate permissions.<br>• Use security and vulnerability management tools to evaluate risk, monitor exposure, and help maintain a secure technology environment.<br>• Execute infrastructure and systems projects involving hardware installation, software deployment, testing, and integration while coordinating work to avoid disruption to existing services.<br>• Maintain clear technical records covering system setups, network layouts, and troubleshooting procedures in collaboration with technology leadership.<br>• Provide hands-on support to faculty, staff, and students for technology-related needs, including event support, help desk requests, and resolution of hardware or software issues.<br>• Partner with the broader Technology Team on data stewardship, continuous improvements, and other assigned initiatives that enhance school operations.<br>• Assist with desktop, printer, and mobile device support across Windows, Mac, iOS, and Android environments as needed.
We are looking for a Systems Engineer to support and enhance core infrastructure operations for a restaurant and catering organization in Signal Hill, California. This Long-term Contract position focuses on maintaining reliable server, identity, messaging, and remote access environments while helping teams resolve complex technical issues. The role is well suited for someone who is comfortable working across Microsoft-based systems and delivering stable, secure platform support in a fast-paced business setting.<br><br>Responsibilities:<br>• Administer and support Active Directory and Azure Active Directory environments, including user access, group policies, and directory health.<br>• Maintain Microsoft Windows Server infrastructure to ensure strong performance, availability, and security across business systems.<br>• Provide ongoing support for Citrix technologies, resolving access issues and improving the end-user experience for remote and on-site teams.<br>• Manage Microsoft Exchange operations, including mailbox administration, service reliability, and issue resolution.<br>• Monitor system performance, troubleshoot infrastructure problems, and implement corrective actions to minimize downtime.<br>• Partner with internal technology teams to apply updates, strengthen security controls, and maintain system documentation.<br>• Assist with infrastructure-related projects and operational improvements as needed, including work tied to platform or environment changes.<br>• Deliver technical support and root-cause analysis for escalated server, directory, and messaging incidents.
<p><strong>Systems Engineer</strong></p><p><br></p><p><strong>Overview</strong></p><p>An organization is seeking a Systems Engineer to support enterprise cloud technologies, business applications, automation initiatives, and IT infrastructure operations. This individual will help improve system reliability, streamline operational processes, and support ongoing technology modernization efforts across the organization.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Administer and support enterprise cloud and collaboration platforms</li><li>Develop and maintain automation solutions to improve operational efficiency</li><li>Support identity and access management initiatives</li><li>Manage endpoint technologies and related platform services</li><li>Assist with system integrations and application support efforts</li><li>Monitor platform performance, availability, and operational health</li><li>Troubleshoot infrastructure, cloud, and application-related issues</li><li>Create and maintain technical documentation and operational procedures</li><li>Collaborate with technical teams and business stakeholders on technology initiatives</li><li>Identify opportunities for process improvement, automation, and operational excellence</li></ul>
<p>We're looking for a hands-on SAN L3 Engineer to support and administer enterprise storage infrastructure in a high-availability production environment. This role is ideal for someone who enjoys solving complex storage issues, optimizing performance, and partnering with server, virtualization, and network teams to keep critical systems running smoothly.</p><p><br></p><p><strong>What You'll Be Doing</strong></p><ul><li>Provide Level 3 support for enterprise SAN and storage environments</li><li>Troubleshoot storage outages, performance bottlenecks, and connectivity issues</li><li>Manage Dell EMC PowerMax, Unity, and Data Domain platforms</li><li>Perform storage provisioning, LUN masking, zoning, replication, snapshots, and migrations</li><li>Support VMware environments, including vSphere, ESXi, and vCenter integrations</li><li>Monitor capacity, utilization, and storage health while identifying optimization opportunities</li><li>Partner with infrastructure, server, network, and application teams to resolve incidents</li><li>Participate in upgrades, patching, change management, and disaster recovery initiatives</li><li>Support backup and recovery operations and ensure business continuity readiness</li><li>Maintain storage documentation, SOPs, and operational runbooks</li><li>Participate in on-call support and critical incident response activities</li></ul><p><br></p>
<p>We are seeking an organized and detail-oriented Materials Coordinator to join a large hospital system in Long Beach. This individual will support daily materials management and supply chain operations, ensuring the timely procurement, receipt, inventory management, and distribution of medical supplies and materials throughout the hospital.</p><p><br></p><p>The Materials Coordinator will work closely with clinical departments, purchasing, vendors, and hospital leadership to maintain appropriate inventory levels and ensure essential supplies are readily available to support patient care and daily operations.</p><p><br></p><p>Key Responsibilities</p><ul><li>Coordinate daily inventory management, including monitoring stock levels, maintaining par levels, and identifying supply shortages.</li><li>Process purchase orders and coordinate with vendors to ensure timely delivery of medical supplies and materials.</li><li>Oversee the receiving, stocking, and distribution of supplies throughout hospital departments.</li><li>Maintain accurate inventory records, purchasing documentation, and supply reports.</li><li>Collaborate with nursing, radiology, oncology, surgery, and other clinical departments to address supply needs.</li><li>Track outstanding orders, resolve delivery discrepancies, and communicate potential supply disruptions.</li><li>Assist with inventory audits, expiration date monitoring, and maintaining appropriate storage standards.</li><li>Identify opportunities to improve inventory processes, reduce waste, and support cost-effective purchasing.</li><li>Utilize hospital inventory management systems and ERP platforms to track orders, materials, and usage.</li></ul>
<p><strong>Software Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A leading organization is seeking a Software Engineer to help develop next-generation AI platforms. This is an opportunity to work on cutting-edge AI technologies within a highly collaborative and innovative engineering environment.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Software Engineer will design, build, and optimize enterprise-grade AI platforms that connect structured and unstructured data, knowledge graphs, retrieval systems, and intelligent workflows. The ideal candidate combines strong software engineering fundamentals with expertise in AI systems, distributed architectures, and scalable platform development.</p><p><br></p><p><strong>Key Responsibilities</strong></p><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>