Top Machine Learning Jobs in Charlotte, NC

Lead AMP's multidisciplinary engineering organization to define and execute technology vision and roadmap. Responsible for scaling teams across hardware, software, AI, and infrastructure; driving product development, quality systems, and reliable deployments; partnering with execs and cross-functional teams on budgets, prioritization, and metrics; recruiting and mentoring leaders; and balancing short-term delivery with long-term investments to create business value.

Develop and support software, automation tools, dashboards, and alarms for cloud infrastructure, cost attribution, and cloud efficiency. Collaborate with cross-functional teams and senior engineers to design reliable systems, APIs, databases, tests, and AI agents. Contribute to architecture and automation strategies while maintaining strong security, communication, and delivery practices.

Support engine control system electronics through laboratory testing and calibration of modules, sensors, harnesses, and actuators. Develop test plans, methods, and fixtures; diagnose lab and engine component issues using diagnostic tools and reference data; build fixtures and harnesses; document procedures and findings; and collaborate with multidisciplinary engineering teams developing a Formula 1 power unit.

Develops and executes 2D/3D electromagnetic simulations for high-speed electric motors and power electronics. Performs performance mapping, efficiency and loss analysis, field-weakening studies, transient and harmonic analysis, and thermal-electromagnetic optimization. Collaborates with mechanical, thermal, controls, and manufacturing teams; validates models against test data; supports prototype development; and documents technical findings. The role focuses on Formula 1 power unit MGU-K motors, high power density, high-speed operation, manufacturability, and design optimization.

Design and develop Motor Generator Unit components for Formula 1 hybrid power units, including rotors, stators, bearings, housings, and thermal interfaces. Perform structural, tolerance, vibration, rotor-dynamics, and finite element analyses; support prototyping, testing, instrumentation, and validation. Collaborate with electromagnetic, electrical, thermal, controls, and manufacturing teams while ensuring compliance with FIA regulations. Apply machine learning and Design of Experiments to optimize high-speed electric motor performance, reliability, and integration.

Leads the design, integration, testing, and optimization of high-speed Motor Generator Unit e-motors for Formula 1 hybrid powertrains. Responsibilities include setting technical requirements, coordinating electromagnetics and mechanical teams, overseeing prototypes and dynamometer testing, conducting design reviews and FMEA, ensuring FIA compliance, and advancing materials and manufacturing processes for reliable, high-performance race applications.

Lead the design, integration, validation, and optimization of high-speed Motor Generator Units for Formula 1 hybrid powertrains. Responsibilities include establishing requirements, coordinating electromagnetics and mechanical engineering teams, overseeing prototypes and dynamometer testing, managing rotor-stator dynamics, thermal performance, reliability, FMEA, design reviews, FIA compliance, and advanced manufacturing improvements.

Provides enterprise-wide strategic leadership for engineering, technology, innovation, and product development. Oversees global engineering organizations, advanced technology development, HVAC product and system design, electrification, commercialization, Model-Based Engineering, and design-center alignment. Drives technology roadmaps, AI and IoT integration, intellectual property development, strategic partnerships, talent development, budgeting, and cross-functional collaboration to support global business growth.

Leads technical direction for GitLab’s Core DevOps services, covering CI, CD, planning, and source control. Defines architecture, quality metrics, migration strategies, and technical roadmaps; addresses systemic risk and complex design decisions; prototypes and writes code when needed; partners with Infrastructure, Security, SRE, and Product; adopts AI capabilities; mentors senior engineers; supports incident response and senior technical hiring.

Exploratory Software Engineering Interns prototype experimental software, test modern frameworks, and investigate AI/ML, computer vision, augmented reality, and IoT applications. They collaborate with engineers, designers, and product managers during innovation sprints, apply rapid prototyping and design thinking, present prototypes to stakeholders, and gain experience contributing to enterprise-scale technology innovation.

Designs, builds, scales, and operates distributed CI/CD services supporting millions of builds, tests, and releases. Develops code for Azure-based infrastructure spanning virtual machines, containers, and custom lab environments. Responsibilities include requirements analysis, architecture and design documentation, estimation, debugging, optimization, operational playbooks, on-call incident response, monitoring, reliability improvements, and mentoring engineers.

Provides technical leadership for architecture and evolution of large-scale distributed data platforms supporting Azure network telemetry. Designs streaming and batch systems, establishes reusable engineering patterns, drives cross-team technical strategy, and owns capabilities from design through production operations. Ensures scalability, reliability, security, performance, data quality, and operational excellence while mentoring engineers and influencing technical leaders. The role also involves architectural reviews, dependency management, risk reduction, and applying AI or machine learning approaches to operational systems.

Design, automate, configure and qualify customer use cases on IOS‑XR platforms (ASR9K, NCS5500, 8000). Reproduce customer environments in lab, develop test frameworks and web GUIs leveraging analytics/ML, run automated and manual validation tests, troubleshoot routing platforms, and collaborate globally with development and account teams to deliver validated solutions for large service provider and enterprise deployments.

Leads enterprise master data and product data architecture, defining target-state designs, data models, governance, quality, enrichment, classification, matching, and AI-enabled automation. Translates complex business and technical needs into scalable, secure solutions; evaluates platforms and vendors; manages architecture risks and trade-offs; and mentors architects, engineers, analysts, product owners, and delivery teams. Partners with senior leaders to advance Ferguson’s master data, product data, and responsible AI strategy.

Owns core backend computation services that produce correct, reproducible, traceable, and auditable financial results. Designs configuration-driven architectures, data-intensive services, and set-based warehouse computations. Requires strong Python, SQL, data modeling, system design, reliability, isolation, and testing expertise. Provides technical leadership through design reviews, engineering standards, and mentorship while partnering with data, AI, and product teams.

Designs and builds highly scalable, fault-tolerant Azure compute services, microservices, REST APIs, billing pipelines, and distributed systems. Responsibilities include improving availability, security, scalability, performance, disaster recovery, and compute utilization; using telemetry and data-driven insights; developing cloud-native solutions with containers, NoSQL, and Big Data technologies; and leveraging AI-assisted development in an Agile environment.

Build end-to-end features for marketing and growth SaaS products, including interactive user interfaces, CRUD applications, backend APIs, analytics platforms, observability tools, and ML integrations. Collaborate with customers, designers, product managers, and ML engineers to translate real-world needs into intuitive products and experiments. Independently architect frontend systems while contributing to backend data models and API design.

Design, develop, secure, modernize, and support scalable omnichannel APIs for customer-facing web, mobile, contact center, partner, and enterprise applications. Improve API security, resiliency, performance, observability, testing, and reliability. Collaborate with architecture, security, cloud, product, operations, and engineering teams; lead technical delivery, mentor engineers, develop reusable patterns, and provide Tier 3 production support. Apply AI-assisted engineering practices and contribute to API lifecycle management and continuous improvement.

Support railcar engineering projects through CAD modeling, engineering drawings, finite element analysis, prototype development, testing, data analytics, and responsible AI use. The intern will analyze datasets using Excel, Power BI, and related tools; apply machine learning to identify trends and anomalies; document findings; provide project updates; and present recommendations. This role is intended for full-time Mechanical Engineering students seeking practical experience with engineering design, validation, and analytical workflows.

Develops scientifically accurate, hands-on technology experiences for museum visitors from early learners through adults. Researches emerging technologies and translates them into exhibits, curricula, demonstrations, workshops, digital content, and programs. Teaches diverse audiences, prototypes interactive experiences, collaborates with exhibit and education teams, mentors staff and volunteers, and partners with schools and community organizations. The role requires broad technology knowledge, strong public communication, safe maker-tool operation, and the ability to explain complex concepts accessibly.

Design and develop scalable backend systems using Kotlin, Micronaut, and Spring. Build RESTful APIs, optimize PostgreSQL and Elasticsearch databases, implement RabbitMQ-based asynchronous processing, integrate AI tools, and create automated tests. Deploy and monitor services on GCP using Docker, Kubernetes, and Terraform. Collaborate cross-functionally, participate in code reviews, troubleshoot performance issues, and deliver reliable backend products.

Build and scale AI-native healthcare products through full-stack applications, backend services, data pipelines, and AI systems. Design, test, deploy, and operate production-ready software, run A/B tests, automate manual workflows, and collaborate with product, operations, and AI/ML teams. The role requires end-to-end ownership of scalable, secure, reliable systems and features, with a focus on performance, data integrity, clean code, and measurable business outcomes.

Design and operate large-scale, AI-native cloud infrastructure (especially Kubernetes/AKS). Improve service quality, automate incident prevention/remediation, accelerate engineering productivity, and integrate AI tools into development workflows.

Design, build, and operate high-throughput, low-latency ad-serving infrastructure processing millions of requests per second. Optimize GPU-powered TensorRT inference, feature stores, model serving, benchmarking, experimentation tooling, and system reliability. Partner with machine learning engineers to productionize models and own systems through design, deployment, observability, capacity planning, incident response, and optimization.

Leads the engineering team responsible for Airbnb’s globally scalable AirCover insurance platform. Sets technical strategy, architecture, roadmap, and operational standards for configurable insurance products, pricing, enrollment, coverage management, and experimentation. Partners with Product, Data Science, Legal, Insurance, Finance, and Operations to expand across regions and improve attach rates. Manages hiring, mentoring, career development, incident response, and engineering quality while guiding distributed, high-availability backend systems and ML-driven experimentation.