[Remote] Staff Artificial Intelligence Machine Learning Engineer

Note: The job is a remote job and is open to candidates in USA. General Motors is seeking a Staff AI/ML Engineer for the Vehicle Mechatronic Embedded Controls (VMEC) Analytics team. The role focuses on delivering production AI/ML solutions for diagnostics and prognostics, requiring hands-on experience in designing and operating machine learning systems.ResponsibilitiesDesign, build, and operate end‑to‑end AI/ML solutions (data pipelines, models, services, and tools) for diagnostics, prognostics, and test analyticsImplement production‑grade ML pipelines on platforms such as Azure and Databricks, covering data ingestion, feature engineering, training, evaluation, and inference for batch and streaming workloadsDevelop and maintain robust, observable ML services and internal tools that make complex vehicle and field data easy to use for engineers and technical stakeholdersApply practical ML and statistical methods (e.g., tree‑based models, time‑series and anomaly detection, deep learning where appropriate) with a focus on reliability, explainability, and impactOwn model and data observability in production, including metrics, dashboards, alerts, and remediation workflows for drift, data quality, and performance regressionsPartner with data engineering to define and use industrialized and vectorized data products that support search, RAG, and analytics at scaleReview designs and code, mentor AI/ML practitioners, and help set high standards for testing, logging, deployment, and documentationCollaborate with diagnostics/prognostics SMEs, validation, safety, and program teams to prioritize work, define success metrics, and embed solutions in day‑to‑day engineering workflowsSkillsGraduate degree (Master's or PhD) in Computer Science, Data Science, Machine Learning, Statistics, Engineering, or a closely related quantitative field7+ years of hands-on experience designing, building, and operating machine learning systems in production environmentsStrong proficiency in Python (production-quality code, testing, packaging) and SQL, with experience working in shared, multi-developer codebasesPractical experience with core ML frameworks such as PyTorch, TensorFlow, or scikit-learn, and with MLOps tooling (e.g., MLflow, CI/CD, model registries, experiment tracking)Experience building data and ML workloads on cloud platforms, preferably Microsoft Azure, and working with Databricks, Spark, or similar distributed processing frameworksDemonstrated ability to turn ambiguous real-world problems into shippable AI/ML solutions, owning the details from data exploration through deployed service and ongoing operationStrong understanding of ML system behavior in production (data issues, non-stationarity, latency, throughput, failure modes) and comfort debugging with logs, metrics, and tracesExcellent communication and collaboration skills, with a track record of influencing decisions and mentoring other AI/ML practitioners10+ years of applied machine learning or data science experience, including ownership of high-impact, production AI systemsExperience with vehicle, fleet, or telematics data, or adjacent domains with rich time-series and reliability dataBackground in diagnostics/prognostics modeling (e.g., fault classification, anomaly detection, degradation modeling, survival analysis)Experience building vector search and retrieval-augmented generation (RAG) or similar production AI applications that integrate foundation models with structured dataFamiliarity with Azure Cognitive Services or similar managed AI services and how to combine them pragmatically with custom ML for robust production solutionsDemonstrated impact in raising engineering standards and building AI/ML engineering capability across teamsPrior experience in automotive, embedded controls, or software-defined vehicle programs, or other safety-critical domainsBenefitsRemoteType: Remote/HybridFrom day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions.Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.General Motors offers opportunities to all job seekers including individuals with disabilities.If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580.Company OverviewGeneral Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts. It was founded in 1908, and is headquartered in Detroit, Michigan, USA, with a workforce of 10001+ employees. Its website is https://www.gm.com.