13 applied ml engineer jobs at 9 companies in Grayson, GA
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Applied Research Engineer
San Francisco or Chicago or New York City or Seattle or Atlanta or Indianapolis or Austin
$179k-$286k/yrHybridFull Time
SalesforceNYSE: CRM: Sells cloud-based customer relationship management and business software solutions.
Strong skills in Python and Linux, some React; experience with production cloud deployments (AWS or GCP); familiarity with Kubernetes, full-stack debugging, security best practices, and building ML/AI pipelines.
San Francisco or Palo Alto or Chicago or New York City or Seattle or Atlanta or Indianapolis or Austin
$197k-$314k/yrHybridFull Time
SalesforceNYSE: CRM: Sells cloud-based customer relationship management and business software solutions.
Strong abilities with Python and Linux, some React; experience with AWS or GCP production deployments, cloud architectures, field-debugging full-stack deployments, security best practices, and building ML/AI tools and pipelines.
Senior Applied AI Solutions Architect — Amazon Connect, Applied AI SA - AIVT
Seattle or Arlington or Atlanta or New York or Denver or Herndon or Chicago or Mountain View or San Francisco
$154k-$208k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
7+ YOE7+ years in software/cloud domains, 3+ years design/implementation experience, ML/LLM experience, familiarity with MCP/A2A, hands-on with cloud integrations and agentic AI patterns.
AMC Health: Provides remote patient monitoring and virtual care technology.
7+ YOE7+ years building production backend systems, strong Python skills, cloud distributed systems (AWS), hands-on LLM/generative AI and traditional ML lifecycle experience, regulated-environment discipline.
Warner Bros. DiscoveryNasdaq: WBD: Produces and distributes multimedia entertainment content and news worldwide.
8+ YOE8+ years data science experience (2+ years in Generative AI), degree in quantitative field, production ML/LLM experience, RAG and vector DBs, prompt engineering, cloud AI platforms, Responsible AI knowledge.
Senior Applied AI Solutions Architect — Amazon Connect, Applied AI SA - AIVT
Seattle or Arlington or Atlanta or New York or Denver or Herndon or Chicago or Mountain View or San Francisco
$154k-$239k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
7+ YOE7+ years in technology domains; 3+ years in design/implementation; familiarity with MCP/A2A; AI/ML concepts incl. LLMs, prompt engineering, RAG, model evaluation
CRC Group: Wholesale and specialty insurance distributor and underwriting services provider.
5+ YOEBachelor's degree with 5+ years relevant experience (6–10 preferred), 2+ years applied ML engineering, strong Python and ML framework skills, Databricks/Azure experience, MLOps and CI/CD familiarity, strong communication.
The Coca-Cola CompanyNYSE: KO: Manufactures and markets a global portfolio of non-alcoholic beverages.
8+ YOEBachelor's degree required and 8–12 years in cybersecurity, software engineering, or applied AI/ML. Requires Python, ML frameworks, production AI automation, security tooling, cloud platforms, and cybersecurity expertise.
Bravo17: A federal digital services firm that delivers digital strategy, product management, and data-driven solutions for government agencies.
7+ YOE7+ years experience in data engineering or analysis, leadership in technical delivery, AI/ML integration, cloud and modern data architectures, REST APIs and microservices, strong communication; Secret clearance required or willingness to apply.
REST APIs, microservices, AI, machine learning, data warehouse
WorkdayNASDAQ: WDAY: Provides cloud-based software for financial and human capital management.
7+ YOEMinimum 7–10+ years building applied ML products; experience with PyTorch/TensorFlow, LLMs and RAG, production ML systems, cloud platforms (AWS/GCP), and team leadership; BS required, MS/PhD preferred.
Sonatype: Secures software supply chains and automates open source governance.
5+ YOERequires 5+ years in applied data science, machine learning, AI engineering, or research; strong Python, ML/GenAI application development, LLM ecosystems, evaluation, Git, and software development practices.