9 applied ml engineer jobs at 8 companies in Glendora, NJ
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Applied AI Engineer, Founding Team
Albany or Arlington or Atlanta or Austin or Beaverton or Bentonville or Boston or Carmel or Charlotte or Chicago or Cincinnati or Cleveland or Columbus or Culver City or Denver or Des Moines or Detroit or Hartford or Houston or Irving or Kirkland or Miami or Milwaukee or Minneapolis or Morristown or Mountain View or Nashville or New York City or Oklahoma City or Overland Park or Philadelphia or Pittsburgh or Raleigh or Redmond or Sacramento or San Diego or San Francisco or Scottsdale or Seattle or St. Louis or St. Petersburg or Walnut Creek or United States
$63k-$219k/yrOnsiteFull Time
AccentureNYSE: ACN: Global professional services firm providing consulting and technology solutions.
5+ YOERequires 5+ years in software engineering, AI/ML, or enterprise technology; experience with retrieval systems, agentic AI, MCP, evaluation frameworks, and a bachelor's degree or equivalent.
Lincoln FinancialNew York Stock Exchange: LNC: Provides life insurance, annuities, and retirement planning services.
5+ YOE5+ years ML/AI engineering experience, strong Python, experience productionizing AI on cloud (AWS), familiarity with Databricks, MLflow, SQL and PySpark, SageMaker Studio/AgentCore a plus, bachelor's degree or equivalent experience.
Vanguard: Global investment management and financial services provider.
7+ YOERequires a PhD or master's degree and 7+ years leading Applied AI, ML, AI Engineering, or AI Platform teams, with expertise in modern AI systems, governance, deployment, and executive communication.
AMC Health: Provides remote patient monitoring and virtual care technology.
7+ YOE7+ years building production backend systems, strong Python, distributed cloud experience (AWS), hands-on LLM/generative AI and ML lifecycle experience, disciplined in regulated environments, US work authorization required.
Principal Software Engineer - Subscription & Paywall Platforms
Princeton, New Jersey, United States
$240k-$290k/yrHybridFull Time
Dow JonesNASDAQ: NWSA: A global news and business information provider delivering content across print, digital, mobile and live events.
12+ YOE12+ years software engineering experience with large-scale platform architecture; expertise in full-stack development, subscription/paywall systems, cloud-native architectures, APIs, databases, and applied ML for subscriptions.
Madrigal PharmaceuticalsNASDAQ: MDGL: Develops and commercializes therapeutics for metabolic dysfunction-associated steatohepatitis.
7+ YOEPhD or strong engineering research background,7+ years applied ML/data science with 3+ years shipping ML/AI to production,1+ year agentic AI,RAG/retrieval engineering,real-world data/PHI experience,strong communication and collaboration skills.
Qnity ElectronicsNYSE: Q: Manufactures materials and solutions for the semiconductor industry.
5+ YOEPhD in Chemical Engineering or Material Science; or MA with 5+ industrial experience;Proficiency in R or Python; SQL knowledge; 5+ years applying statistics/data science; ML techniques; strong communication.
Senior Product Manager, AI & Data Science Products
Seattle or Richmond or Austin or North Charleston or Philadelphia or San Francisco or Denver or Miami or Atlanta or Chicago or Augusta or Boston or Las Vegas or Trenton or New York or Raleigh or Portland
RemoteFull Time
Crunchbase: A platform providing comprehensive data and intelligence on companies.
3+ YOERequires 3+ years of product management or comparable experience, customer-facing AI or data product ownership, applied AI/ML knowledge, data science and engineering collaboration, experimentation, analytics, and quality evaluation skills.
Titusville or Cambridge or Raritan or Spring House
$117k-$201k/yrHybridFull Time
Johnson & JohnsonNYSE: JNJ: Provides pharmaceutical products and medical technology healthcare solutions.
5+ YOEPhD in a quantitative discipline,5+ years applying ML/NLP/GenAI and optimization to real-world data (EHR/claims/registries),experience with multimodal RWD,stochastic simulation,optimization engines,Python and SQL proficiency,MLOps and data privacy familiarity.