{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/city/redford"},"x-facet":{"type":"city","slug":"redford","display":"Redford","count":7},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c1aa00e2-e5e"},"title":"Systems Integration and Test Manager","description":"<p>Advanced Technology Platforms - Sight Systems Integration &amp; Test Manager - LL6</p>\n<p>Shape the Future of Manufacturing with <strong>ATP</strong></p>\n<p>At Ford, we aren’t just building vehicles , we are redefining how the world moves. Within the Advanced Industrial Technology and Platforms (ATP) organisation, we are the architects of Ford’s next industrial revolution.</p>\n<p>Our mission is clear: we build and scale industrial platforms, technologies, and capabilities that unlock Ford Firsts to drive sustained competitive advantage in manufacturing. Driven by our vision to &quot;build once, scale everywhere,&quot; we bridge the gap between cutting-edge technology and global physical deployment.</p>\n<p>Our guiding mantra is simple yet relentless: Scale what matters, win what&#39;s next.</p>\n<p>If you are a high-tech builder, thinker, or innovator who thrives at the intersection of software, hardware, and massive scale, ATP is where you belong. Join us, and write the next chapter of industrial history.</p>\n<p><strong>In this position...</strong></p>\n<p>Advanced Industrial Technology and Platforms (ATP) is a new, centralised organisation designed to position Ford to lead industrial innovation. This team will accelerate our digital evolution and manufacturing excellence - advancing the modernisation of our Ford Manufacturing operations with cutting-edge technology. As part of Ford Manufacturing, ATP is designed to integrate directly into our manufacturing sites, partner across teams (GME, safety, etc.) and drive innovation from initial idea to full implementation.</p>\n<p>As part of the AITP organisation, the Sight Vertical is responsible for building an end-to-end business around AI/ML anomaly detection products, with image (Sight) and parametric data (Sense). This vertical transforms image and parametric data into actionable manufacturing intelligence through products like Sight.Scout (visual error proofing), Sight.Surface (defect detection), and Sight.IQ (assembly process monitoring).</p>\n<p><strong>Focus: Plant Deployment Leadership, Systems Integration &amp; Test, Cross-Functional Delivery</strong></p>\n<p>Are you the leader who turns great Sight products into flawless plant deployments? As the Systems Integration and Test Manager for the Sight Vertical, you will own the end-to-end deployment of all Sight products (Sight.Scout, Sight.IQ, Sense.Machine, and future launches) into Ford manufacturing plants worldwide.</p>\n<p><strong>What you&#39;ll do...</strong></p>\n<ul>\n<li>Embed with Product Teams: Partner with Sight Product Managers and Engineering from early development to understand product architecture, integration needs, and readiness requirements before plants are engaged.</li>\n<li>Own the Deployment Playbook: Build and maintain the standard process, tools, and documentation for plant integration readiness, resourcing, testing, and validation across all Sight products.</li>\n<li>Lead Plant Integration Readiness: Assess and prepare plants (network, hardware, line conditions, safety, IT/OT) for &quot;plug-and-play&quot; Sight deployments, resolving readiness gaps before Job 1.</li>\n<li>Plan &amp; Resource Deployments: Build the deployment plan, timeline, and resource model for each rollout, coordinating internal engineers, plant teams, and third-party suppliers.</li>\n<li>Drive Testing &amp; Validation: Define and lead the systems integration test strategy, validation protocols, and acceptance criteria that confirm each product performs to spec on the plant floor.</li>\n<li>Partner with Plant SPOCs &amp; Customers: Work hand-in-hand with plant Advanced Innovation SPOCs and key plant customers to ensure smooth deployment, fast issue resolution, and high customer satisfaction.</li>\n<li>Orchestrate Cross-Functional Delivery: Lead and coordinate deployment activities across 3rd-party suppliers, TDM, GME, and Core Controls, ensuring every partner works to the right standards, processes, and robustness.</li>\n<li>Manage the SIE Team: Lead and coach Systems Integration Engineers who own execution of specific product deployments in specific plants, ensuring consistency and knowledge-sharing across sites.</li>\n<li>Champion Readiness Gates: Manage products through the TRL/MRL/IRL framework, ensuring every Sight solution reaches &quot;Factory Ready&quot; (MRL 9) status before scaling.</li>\n<li>Documentation &amp; Standards: Own the integration and test documentation library, ensuring repeatable, auditable, and compliant deployment records across all plants.</li>\n</ul>\n<p><strong>What does success look like?</strong></p>\n<ul>\n<li>Zero-Integration Deployment: Sight products are deployed into plants &quot;plug-and-play,&quot; without custom site-level engineering rework.</li>\n<li>Cycle Time Reduction: Plant integration readiness cycles compress from months to weeks.</li>\n<li>Customer Satisfaction: Consistently high satisfaction scores from plant SPOCs and key customers post-deployment.</li>\n<li>Standardisation: A single, repeatable deployment playbook adopted across all Sight product launches and plants.</li>\n<li>Partner Alignment: 3rd party suppliers, TDM, GME, and Core Controls consistently deliver to Sight&#39;s integration standards and timelines.</li>\n<li>Sight products achieve MRL 9 gates aligned to global program milestones.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Bachelor&#39;s degree in Systems Engineering, Manufacturing Engineering, Electrical/Controls Engineering, or related field.</li>\n<li>5+ years of experience in systems integration, manufacturing engineering, or industrial deployment/test, including plant floor experience.</li>\n<li>Proven experience leading multi-site deployments of new technology/products into manufacturing environments.</li>\n<li>Strong understanding of plant integration requirements: network/IT-OT, controls, safety, line/process constraints.</li>\n<li>Experience managing cross-functional and multi-partner teams (internal engineering, suppliers, plant teams).</li>\n<li>Strong project management, resource planning, and risk management skills.</li>\n<li>Excellent stakeholder management skills, comfortable working directly with plant leadership and customers.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Immediate medical, dental, vision and prescription drug coverage</li>\n<li>Flexible family care days, paid parental leave, new parent ramp-up programs, subsidised back-up child care and more</li>\n<li>Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more</li>\n<li>Vehicle discount program for employees and family members and management leases</li>\n<li>Tuition assistance</li>\n<li>Established and active employee resource groups</li>\n<li>Paid time off for individual and team community service</li>\n<li>A generous schedule of paid holidays, including the week between Christmas and New Year’s Day</li>\n<li>Paid time off and the option to purchase additional vacation time.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c1aa00e2-e5e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Ford Motor Company","sameAs":"https://fordcareers.co/","logo":"https://logos.yubhub.co/fordcareers.co.png"},"x-apply-url":"https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/72446?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$132,800-$250,800","x-skills-required":["Systems Engineering","Manufacturing Engineering","Electrical/Controls Engineering","Project Management","Risk Management","Stakeholder Management"],"x-skills-preferred":["AI/ML","Computer Vision","Industrial Anomaly Detection","Agile/SAFe","GME","TDM","Core Controls"],"datePosted":"2026-10-17T06:08:31.845Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redford, MI"}},"employmentType":"FULL_TIME","occupationalCategory":"Manufacturing","industry":"Automotive","skills":"Systems Engineering, Manufacturing Engineering, Electrical/Controls Engineering, Project Management, Risk Management, Stakeholder Management, AI/ML, Computer Vision, Industrial Anomaly Detection, Agile/SAFe, GME, TDM, Core Controls","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":132800,"maxValue":250800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_fe294285-81a"},"title":"Software Engineering Lead","description":"<p>We are undergoing a historic industrial shift,moving from building great vehicles to building the sophisticated, scalable systems that power them. The Advanced Industrial Technology organization was created to operationalize this shift. Our mission is not to deploy isolated tools; it is to build an ecosystem that learns from factory data, transforms it into scalable platforms, and delivers measurable enterprise value.</p>\n<p>As part of this team, the Sight Vertical is responsible for building an end-to-end business around AI/ML anomaly detection products using both image data (Vision) and parametric data (Sense). This vertical transforms raw data into actionable manufacturing intelligence through products focused on visual error-proofing, defect detection, and assembly process monitoring.</p>\n<p>Reporting to the Sight | Vision Product Family Manager, the Software Engineering Manager is responsible for the execution and technical health of the Vision product lines. You will lead the engineering team in translating strategic goals into robust, scalable software, ensuring our products meet rigorous industrial standards for global rollout.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Engineering Leadership &amp; Mentorship: Lead, coach, and grow a multi-disciplinary team of software and data engineers. Foster a collaborative environment focused on continuous improvement and professional development.</li>\n<li>Technical Delivery: Own the software development lifecycle for Sight Vision products. Ensure the team delivers high-quality, maintainable code that meets project milestones and performance benchmarks and results in a reliable and highly scalable product.</li>\n<li>Architecture &amp; Strategy: Provide technical oversight for software and hardware architecture, MLOps pipelines, technology stack selection, and controls integration. Balance the need for rapid innovation with the stability required for 24/7 manufacturing environments.</li>\n<li>Cross-Functional Collaboration: Partner closely with Product Managers and stakeholders to translate manufacturing challenges into technical roadmaps and executable engineering backlogs.</li>\n<li>Platform Integration: Ensure all vision products are built for seamless integration with centralized data and operating platforms, adhering to a &quot;build once, scale everywhere&quot; philosophy.</li>\n<li>Operational Excellence: Drive engineering best practices, including automated testing, CI/CD, and robust monitoring for models deployed at the &quot;edge&quot; (on-site factory hardware).</li>\n<li>Innovation: Drive innovation by integrating Agentic workflows and AI-assisted engineering tools to maximize team productivity and software quality.</li>\n<li>Deployment Oversight: Work with site-level stakeholders to ensure technical solutions account for real-world variables such as factory lighting, line speeds, and network constraints.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Bachelor’s degree in Computer Science, AI/ML, or a related technical field.</li>\n<li>Leadership Experience: 5+ years of experience directly managing software engineering teams, with a proven track record of hiring, mentoring, and retaining talent.</li>\n<li>Technical Background: 8+ years of experience in software engineering, Computer Vision, or complex data-driven products.</li>\n<li>Systems Knowledge: Deep understanding of the machine learning lifecycle (data engineering, model training, inference, and monitoring).</li>\n<li>Agile Proficiency: Extensive experience leading teams in Agile environments, managing sprints, and optimizing delivery velocity.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Immediate medical, dental, vision and prescription drug coverage</li>\n<li>Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more</li>\n<li>Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more</li>\n<li>Vehicle discount program for employees and family members and management leases</li>\n<li>Tuition assistance</li>\n<li>Established and active employee resource groups</li>\n<li>Paid time off for individual and team community service</li>\n<li>A generous schedule of paid holidays, including the week between Christmas and New Year’s Day</li>\n<li>Paid time off and the option to purchase additional vacation time.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_fe294285-81a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Ford Motor Company","sameAs":"https://fordcareers.co/","logo":"https://logos.yubhub.co/fordcareers.co.png"},"x-apply-url":"https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/71752?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$132,800-$250,800","x-skills-required":["Computer Science","AI/ML","Software Engineering","Computer Vision","Machine Learning","Agile"],"x-skills-preferred":["MLOps","Cloud Infrastructure","Agentic Workflows","Industrial Communication Protocols","Edge Computing Hardware"],"datePosted":"2026-10-13T02:32:50.041Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redford, MI"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"Computer Science, AI/ML, Software Engineering, Computer Vision, Machine Learning, Agile, MLOps, Cloud Infrastructure, Agentic Workflows, Industrial Communication Protocols, Edge Computing Hardware","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":132800,"maxValue":250800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_641c090f-8bd"},"title":"Hardware Development Engineer-Sight Vertical","description":"<p>Ford&#39;s Advanced Technology Platforms (ATP) Sight organisation is seeking a Hardware Engineer to own the hardware backbone of our manufacturing intelligence products across both computer-vision and parametric sensing.</p>\n<p>The role involves working across Sight.Sense and Sight.Vision product streams as a senior individual contributor, supporting the product engineering teams and working closely with various stakeholders to get camera, sensor and edge hardware from specification to shop-floor reality.</p>\n<p>Responsibilities include:</p>\n<ul>\n<li>Camera &amp; Sensor Hardware (Vision): Own end-to-end camera specification for vision inspection stations, evaluate and qualify camera vendors and models, define and maintain hardware bill-of-materials (BOM) standards.</li>\n<li>Sensing &amp; Signal Acquisition Hardware (Sense): Own end-to-end specification for sensing and signal-acquisition hardware, evaluate and qualify sensor and data-acquisition vendors, define and maintain hardware BOM standards.</li>\n<li>Edge Devices &amp; Network Infrastructure: Specify, test and validate edge compute devices, own hardware-side network requirements, specification and validation.</li>\n<li>Testing, Certification &amp; Compliance: Lead hardware validation and test protocols, own UL, cUL and CE certification requirements and compliance documentation.</li>\n<li>Fleet Management &amp; Sustaining Support: Establish and maintain fleet management practices, define hardware-side capture, buffering and egress requirements.</li>\n</ul>\n<p>The ideal candidate will have a strong background in hardware development, experience working with computer-vision and parametric sensing technologies, and excellent communication and collaboration skills.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_641c090f-8bd","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Ford Motor Company","sameAs":"https://www.ford.com/","logo":"https://logos.yubhub.co/ford.com.png"},"x-apply-url":"https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/71230?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["hardware development","computer-vision","parametric sensing","camera specification","sensor selection","edge devices","network infrastructure"],"x-skills-preferred":[],"datePosted":"2026-10-08T00:29:44.212Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redford, MI"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"hardware development, computer-vision, parametric sensing, camera specification, sensor selection, edge devices, network infrastructure"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_dee993a7-c2c"},"title":"Controls Engineer","description":"<p><strong>Job Description</strong></p>\n<p>Ford Motor Company is seeking a Controls Engineer to join the Advanced Industrial Technology &amp; Platforms (AITP) organisation. The successful candidate will be part of the Sight Vertical, responsible for building an end-to-end business around AI/ML anomaly detection products.</p>\n<p><strong>The Opportunity</strong></p>\n<p>The Controls Engineer will define how Sight products interface with Ford controls systems, ensuring every deployment complies with FAST, OMS, safety, and OT cybersecurity requirements. The scope spans both product families, Sight.Sense and Sight.Vision, and their different controls demands.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li><strong>Controls Standards and Technical Governance</strong>: Support the implementation of FAST and OMS standards, own and administer controls-related procedures and specifications, review programme deviations, and represent the Sight Vertical on relevant subcommittees.</li>\n<li><strong>Controls Integration for Sight Products</strong>: Define standard controls interface patterns, specify controls and instrumentation requirements, provide senior controls expertise, and conduct programme approvals.</li>\n<li><strong>Virtual Commissioning and Digital Infrastructure</strong>: Lead and support Virtual Commissioning of controls software, enable plant-floor data flows, and identify power drop and electrical infrastructure requirements.</li>\n<li><strong>OT Cybersecurity and Plant-Floor Compute</strong>: Support and evidence cybersecurity compliance, implement and govern OT security protocols, and act as the primary technical liaison with IT.</li>\n<li><strong>Lifecycle, Obsolescence and Industrialisation</strong>: Support the global controls obsolescence effort, reduce controls engineering effort per deployment, and support product strategies and specifications.</li>\n<li><strong>Knowledge, Mentorship and Enablement</strong>: Coach engineers in controls fundamentals, build and share reusable technical guidance, and bring plant and controls reality into product discovery and architecture decisions.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Minimum Requirements: [Not specified]</li>\n</ul>\n<p><strong>About Ford and ATP</strong></p>\n<p>Ford Motor Company has been in operation for over 118 years, leading a transformation in manufacturing by integrating various technologies. The Advanced Industrial Technology &amp; Platforms (AITP) organisation was created to operationalise this shift.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_dee993a7-c2c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Ford Motor Company","sameAs":"https://www.ford.com/","logo":"https://logos.yubhub.co/ford.com.png"},"x-apply-url":"https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/71258?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["controls engineering","industrial automation","cybersecurity","data acquisition","image processing","machine learning","software development","engineering standards"],"x-skills-preferred":[],"datePosted":"2026-10-06T00:27:50.597Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redford, MI"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"controls engineering, industrial automation, cybersecurity, data acquisition, image processing, machine learning, software development, engineering standards"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_fa63cbaf-177"},"title":"Staff Product Manager - 3D Print & Additive Mfg","description":"<p>At Ford, we aren&#39;t just building vehicles , we are redefining how the world moves. Within the Advanced Industrial Technology and Platforms (ATP) organization, we are the architects of Ford&#39;s next industrial revolution.</p>\n<p>As a Staff Product Manager, Additive Manufacturing, you will set product direction and drive delivery for additive manufacturing solutions from discovery through pilot and scale,leading through influence across engineering, manufacturing, quality, IT, cybersecurity, and suppliers.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Set the product strategy and multi-release roadmap for ATP additive manufacturing, balancing immediate operational wins with platform scalability and long-term architecture across both polymer and metal technologies.</li>\n<li>Lead discovery with plant, engineering, and Ford Racing partners to identify high-value use cases across prototyping, tooling, spare parts, and production parts; define personas, workflows, constraints, and measurable outcomes.</li>\n<li>Own the creation and quality of product requirements (PRDs, user stories, acceptance criteria), ensuring they span machine and material behavior, software integration, quality/inspection, and operational readiness.</li>\n<li>Drive cross-functional execution with engineering: prioritize backlogs, define MVP scope, manage tradeoffs, and deliver releases that perform in real industrial and racing environments.</li>\n<li>Define and monitor product KPIs such as machine uptime/availability, print success rate, throughput and cycle-time impact, cost-per-part, material utilization, deployment lead time, and total cost of ownership.</li>\n<li>Lead pilot-to-scale planning: site selection, rollout playbooks, training, support model, and post-deployment iteration based on machine telemetry and operator feedback.</li>\n<li>Influence technical and business decisions across stakeholders,aligning on architecture choices, equipment and material sourcing approaches, and the operating model (support, monitoring, maintenance, calibration).</li>\n<li>Partner with Purchasing and suppliers to evaluate printer, material, and software solutions and shape vendor roadmaps; establish clear performance expectations and accountability mechanisms.</li>\n<li>Define requirements for the digital thread connecting design and simulation, slicing/build preparation, production execution, inspection, and part traceability.</li>\n<li>Create a forward path for platform evolution across polymer and metal additive technologies while ensuring today&#39;s decisions don&#39;t block tomorrow&#39;s capabilities.</li>\n<li>Work across other ATP verticals and build print products on a common manufacturing platform.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Bachelor&#39;s degree in engineering or equivalent experience (8+).</li>\n<li>5-8+ years of experience in product management and/or technical delivery for complex technical products (hardware/software/system + operational deployment).</li>\n<li>Background as an engineer earlier in your career, bringing hands-on technical depth to product decisions alongside strong product management skills.</li>\n<li>Demonstrated ability to lead and align cross-functional teams at scale, driving decisions and outcomes through influence.</li>\n<li>Strong requirements and execution discipline: ability to translate ambiguous problems into crisp scope, measurable success criteria, and release plans.</li>\n<li>Experience using data and operational feedback to prioritize, iterate, and improve product performance over time.</li>\n<li>Excellent communication skills with the ability to engage effectively with both executive stakeholders and engineering teams.</li>\n<li>Willingness to travel approximately 10-20% to plants, Ford Racing facilities, and supplier sites.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Immediate medical, dental, vision and prescription drug coverage</li>\n<li>Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more</li>\n<li>Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more</li>\n<li>Vehicle discount program for employees and family members and management leases</li>\n<li>Tuition assistance</li>\n<li>Established and active employee resource groups</li>\n<li>Paid time off for individual and team community service</li>\n<li>A generous schedule of paid holidays, including the week between Christmas and New Year&#39;s Day</li>\n<li>Paid time off and the option to purchase additional vacation time.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_fa63cbaf-177","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Ford Motor Company","sameAs":"https://fordcareers.com","logo":"https://logos.yubhub.co/fordcareers.com.png"},"x-apply-url":"https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/71119?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$115,500-$218,100","x-skills-required":["additive manufacturing","product management","engineering","leadership"],"x-skills-preferred":["experience delivering additive manufacturing systems","familiarity with additive manufacturing platform concepts","reliability/serviceability practices","quality and standards practices","vendor/supplier management experience"],"datePosted":"2026-10-01T22:29:13.308Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redford, MI"}},"employmentType":"FULL_TIME","occupationalCategory":"Manufacturing","industry":"Automotive","skills":"additive manufacturing, product management, engineering, leadership, experience delivering additive manufacturing systems, familiarity with additive manufacturing platform concepts, reliability/serviceability practices, quality and standards practices, vendor/supplier management experience","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":115500,"maxValue":218100,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_58340a6d-714"},"title":"Senior Data Scientist / ML Engineer","description":"<p>We are seeking a Senior Data Scientist / ML Engineer to join our team at Ford Motor Company. As a Senior Data Scientist / ML Engineer, you will play a critical role in designing and evolving Ford&#39;s data mesh architecture across manufacturing and enterprise domains.</p>\n<p><strong>Data Mesh Strategy &amp; Architecture</strong></p>\n<ul>\n<li>Design and evolve Ford&#39;s data mesh architecture across manufacturing and enterprise domains , defining domain boundaries, data product contracts, and interoperability standards.</li>\n<li>Establish and maintain federated computational governance policies applied consistently across decentralized domain teams.</li>\n<li>Champion adoption of next-generation technologies and cloud-native patterns to modernize legacy data workflows and drive measurable business impact.</li>\n</ul>\n<p><strong>Data Product Development</strong></p>\n<ul>\n<li>Lead the transformation of raw data into curated, documented, high-quality data products.</li>\n<li>Define and enforce data product standards: ownership, schema versioning, SLAs for freshness/completeness/accuracy, discoverability, and access controls.</li>\n<li>Oversee the build-out of ingestion, transformation, and publishing pipelines that convert raw operational data into standardized, reusable data assets.</li>\n<li>Design and build data structures and semantic layers that enable AI agents to interpret enterprise data consistently and with minimal human intervention.</li>\n</ul>\n<p><strong>Data Modeling &amp; Architecture</strong></p>\n<ul>\n<li>Design and develop data models for assigned domains; manage and maintain models in a shared repository.</li>\n<li>Partner with product and analytics teams to translate use cases into data requirements, providing architecture guidance, data models, and design reviews.</li>\n<li>Establish and enforce data architecture principles, standards, and best practices across the team&#39;s data products.</li>\n<li>Drive data quality initiatives: profile source-system data, define data quality requirements and metrics, and guide monitoring, measurement, reporting, and remediation.</li>\n</ul>\n<p><strong>Platform &amp; Tooling</strong></p>\n<ul>\n<li>Drive adoption of cloud services like GCP as the technical backbone of the data mesh and data product ecosystem.</li>\n<li>Evaluate and implement metadata management and data catalog solutions to support discoverability and trust across the mesh.</li>\n<li>Establish monitoring, observability, and SLA-tracking for published data products.</li>\n</ul>\n<p><strong>Governance &amp; Compliance</strong></p>\n<ul>\n<li>Own and evolve the federated governance framework, balancing global standards with domain-level autonomy, ensuring compliance with Ford&#39;s data security, privacy, and regulatory requirements.</li>\n<li>Implement automated policy enforcement via GCP-native and third-party tooling.</li>\n<li>Partner with cybersecurity, legal, and compliance teams to classify and protect sensitive manufacturing and enterprise data.</li>\n<li>Ensure development patterns support Ford&#39;s data security requirements and global privacy regulations.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Master&#39;s degree in computer science, Information Systems, Data Engineering, or a related field, or equivalent combination of relevant education and experience.</li>\n<li>5+ years of experience in data architecture, data engineering, or advanced database design/modeling.</li>\n<li>15+ years of experience leading, managing, or mentoring technical teams.</li>\n<li>Hands-on experience creating data models using data modeling tools.</li>\n<li>Deep, hands-on experience with GCP technologies including BigQuery, Cloud Storage, Dataform, Data Fusion, Astronomer, or similar cloud data engineering tools.</li>\n<li>Demonstrated experience designing or implementing data mesh or domain-oriented data architectures.</li>\n<li>Understanding of AI/ML capabilities, with experience modeling semantic layers, knowledge graphs, or ontologies for a data platform.</li>\n<li>Knowledge of data governance, data quality, and data product marketplace enablement practices.</li>\n<li>Proficiency in SQL, Python, and modern data pipeline/orchestration tools.</li>\n<li>Strong stakeholder management skills, with the ability to work across plant floor operations teams and enterprise IT/analytics functions.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_58340a6d-714","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Ford Motor Company","sameAs":"https://fordcareers.co/","logo":"https://logos.yubhub.co/fordcareers.co.png"},"x-apply-url":"https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/70439?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$132,800-$250,800","x-skills-required":["GCP","BigQuery","Cloud Storage","Dataform","Data Fusion","Astronomer","Python","SQL","data modeling","data governance","data quality","AI/ML","semantic layers","knowledge graphs","ontologies"],"x-skills-preferred":[],"datePosted":"2026-09-22T18:29:33.830Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redford, MI"}},"employmentType":"FULL_TIME","occupationalCategory":"IT","industry":"Automotive","skills":"GCP, BigQuery, Cloud Storage, Dataform, Data Fusion, Astronomer, Python, SQL, data modeling, data governance, data quality, AI/ML, semantic layers, knowledge graphs, ontologies","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":132800,"maxValue":250800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c9b24b83-257"},"title":"Director of Engineering","description":"<p>We&#39;re growing fast and need a Director of Engineering to be the delivery engine of our robotics organisation. 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