7 large language model engineer jobs at 6 companies in Hackensack, NJ
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Staff Software Engineer - Spend Platform
New York or San Francisco
$189k-$315k/yrOnsiteFull Time
Rippling: Unified platform managing workforce HR, IT, and finance operations
8+ YOE8+ years backend software engineering experience, distributed systems and large-scale architecture, deep proficiency in a modern backend language, and experience with SQL/NoSQL and complex data modeling.
Python, Go, Java, SQL, NoSQL, Slack, Microsoft 365
New York City or London or Palo Alto or Copenhagen or Seoul
$300k-$400k/yrOnsiteFull Time
Normal Computing: Building probabilistic AI and thermodynamic computing for semiconductor design.
Deep knowledge of large-model inference, stochastic systems, and numerical methods; experience implementing algorithms on real hardware; strong Python and systems-language programming skills.
SpotifyNYSE: SPOT: Digital music, podcast, and video streaming service.
5+ YOE5+ years of production ML experience; strong background with large language models and conversational/agentic systems; ability to design metrics and evaluation pipelines; reliable, scalable ML systems; cross-functional collaboration.
GenAI Engineer-Middletown NJ, Atlanta GA, Dallas TX
Middletown or Atlanta or Dallas
$75k-$117k/yrOnsiteFull Time
CognizantNasdaq: CTSH: Provides global information technology and business process outsourcing services.
3+ YOE3+ years engineering or ML experience; hands-on with large language models, prompt engineering, RAG, embeddings, vector search; Python and API/backend proficiency; Azure experience and model evaluation skills.
Campus AI Research Engineer – Research Automation (Intern)
Chicago or New York City
$300k/yrOnsiteInternship
Jump Trading: Global proprietary trading firm specializing in algorithmic and high-frequency strategies
Strong ML research background with publications, deep learning and language-modeling experience, proficiency in Python/C++ and ML frameworks, and ability to build and deploy large-scale ML systems.
CyberCube: Provides cyber risk analytics for the insurance industry.
Quantitative modeling experience with large datasets; proficiency reading/writing Python and a query language (SQL), experience with Tableau/R/Excel, strong communication, degree in a quantitative/technical field, and interest in cybersecurity and insurance.
SpotifyNYSE: SPOT: Digital music, podcast, and video streaming service.
Experience leading ML engineering teams, building and operating production ML systems, end-to-end ML lifecycle, and working with large language models and generative AI.