Top Machine Learning Jobs in Charlotte, NC

Design and lead the technical strategy for search across Vannevar’s products. Build and improve full-text, vector, and LLM-powered retrieval systems, optimizing latency, relevance, index quality, freshness, and performance. Collaborate with ML, product, design, and mission strategy teams to translate user needs into search innovations. Apply expertise in information retrieval, NLP, machine learning, indexing, ranking, query parsing, tokenization, vector search, and evaluation frameworks.

Build and maintain mission-critical ad-serving infrastructure operating at massive scale. Responsibilities include shipping production code frequently, improving engineering quality through testing and code review, developing expertise in Go and open-source technologies, and designing large-scale data stores, distributed systems, and backend architectures. The role offers measurable impact on millions of users and company revenue while working remotely with quarterly in-person gatherings.

Own the end-to-end integration and automation architecture for the MyCDW platform. Design ServiceNow integrations, APIs, event-driven patterns, middleware, data contracts, AI-agent guardrails, automated workflows, and observability. Establish governance, security, coding standards, testing, documentation, and reusable architecture patterns. Evaluate platforms, lead prototypes, resolve complex issues, manage vendors, influence stakeholders, and align solutions with business strategy, compliance requirements, scalability, resilience, and cost objectives.

Lead design, build, and deploy scalable, reliable Java-based microservices in a cloud-native, event-driven AWS environment. Own backend feature design, code quality, automated testing, and FedRAMP release processes. Mentor engineers, participate in on-call/TechOps, integrate AI tools into development, and drive architecture, observability, and cross-team initiatives.

Lead long-term technical strategy and execution across multiple teams, architecting and evolving foundational frontend/backend systems and platforms at massive scale. Drive AI/ML adoption, solve ambiguous, high-impact problems, remain hands-on in critical system design and implementation, and align senior leaders on roadmaps and engineering standards.

Leads enterprise technical architecture, translating complex end-user requirements into integrated solutions across platforms, operating systems, applications, APIs, and cloud environments. Oversees architecture standards, specifications, performance requirements, compliance audits, and implementation blueprints. Guides adoption of GenAI, machine learning, AI agents, responsible AI practices, emerging technologies, and digital transformation initiatives while communicating designs to organizational leaders.

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.

Designs and implements customer-focused SLO and SLI monitoring solutions for applications hosted in Azure and other cloud platforms. Responsibilities include instrumenting code, detecting and remediating SLO breaches, developing automation and troubleshooting guides, analyzing reliability trends, optimizing performance and scalability, and collaborating with customers and engineering teams to improve observability and service reliability.

Lead design and implementation of Headway's insurance systems (eligibility, pricing, matching, claims). Build data-intensive, ML-powered platforms and automation, mentor engineers, write high-impact code, and improve accuracy and reliability across state and payer complexity to scale insurance-covered therapy.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

Lead development and maintenance of character creation, rigging, animation, and simulation tools for game production. Collaborate with artists, engineers, studios, and research teams to prototype workflows, integrate game engines, optimize environments, and apply AI/ML to improve development efficiency. Build and customize internal tools, automate project environments, troubleshoot production issues, document systems, and support varied client pipelines. Participate in internal demonstrations and conferences, with required travel.

Develop and support internal low-code applications and AI agents using Microsoft Power Platform and Copilot Studio. Assist with API and database integrations, automated testing, Agile delivery, intelligent automation, documentation, and application monitoring. Collaborate with cross-functional teams to create secure, compliant, reliable digital solutions that improve enterprise productivity and workflows. The role is remote with occasional travel to Vermeer campuses.

Develop, test, maintain, and improve software solutions using established development practices. Write clean code, assist with feature implementation, debug issues, and collaborate remotely with team members. Support AI technology integration, automation, and AI-powered development workflows. Research emerging AI tools, document technical processes, and continuously develop programming skills.

Design, develop, and maintain high-performance, secure Java backend services and APIs. Ensure reliability, scalability, and cost-efficiency across microservices, databases, messaging systems, and capacity planning. Troubleshoot, profile, benchmark, and optimize systems (including ML applications) and collaborate with Kazakhstan stakeholders.

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.

Design, develop, and validate functionally safe software for robotic perception systems. Build safety-critical architecture across Linux and real-time operating systems, create testing and validation frameworks for edge cases, collaborate with machine learning, hardware, and core software teams, and mentor junior engineers on safety-critical coding practices.

The Machine Learning Engineer will build data-intensive products, deploy ML models, analyze datasets, and collaborate with product teams to enhance Nextdoor's platform.

Develop and maintain internal low-code applications and AI agents using Microsoft Power Platform and Copilot Studio. Support API and database integrations, automated testing, Agile delivery, documentation, and enterprise workflow automation. Collaborate across teams to build conversational AI, predictive analytics, and autonomous decision-making solutions while ensuring security, compliance, ethical use, accuracy, and reliability.

Lead and scale MEDHOST’s software engineering organization, overseeing product delivery, modernization, security, reliability, scalability, and operational performance. Develop technology strategy and architecture roadmaps while driving AI-first transformation across products, engineering workflows, and enterprise operations. Establish performance metrics, govern technology investments, manage strategic initiatives, and advise executives on emerging technologies, risks, and opportunities. The role also requires implementing generative AI, machine learning, and AI governance within healthcare software environments.

Develop and deliver software features, technical designs, secure code, automated tests, and release improvements. Integrate AI capabilities, CI/CD testing, and cloud technologies while troubleshooting production issues and improving reliability, scale, performance, and engineering velocity. Coordinate with cross-functional teams, participate in on-call rotations and postmortems, review code, share technical knowledge, and mentor peers or interns.

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.

Architect and operate North’s AWS and multi-cloud infrastructure, establishing IaC, CI/CD, security, observability, and disaster-recovery standards. Build AIOps capabilities including anomaly detection, predictive scaling, self-healing remediation, AI-assisted tooling, and cloud cost optimization. Collaborate with DevOps, SRE, Product Engineering, and InfoSec teams to deliver resilient, compliant, highly scalable platforms.

Lead the architecture and development of reliable AI-powered email applications across backend, mobile, and desktop platforms. Design APIs and workflow systems supporting orchestration, state, tool use, retries, fallbacks, and failure handling. Lead a small senior engineering team, make architectural trade-offs, mentor engineers, and establish strong production practices including observability, monitoring, testing, scalability, security, and operational excellence. Partner with ML leadership to deliver robust, high-quality product experiences.

Develop, maintain, and extend proprietary engineering calculation tools using C++/Qt and Microsoft Power Platform. Support software integration, documentation, testing, and user training. Collaborate across departments, assist with software/hardware procurement and migration, and apply engineering domain knowledge (thermodynamics, heat transfer, kinetics) to produce traceable, maintainable process modeling and data-analysis solutions.

As a Senior Fullstack Engineer, you'll architect and build a high-concurrency auction engine, leveraging AI for enhanced user experiences and system reliability.