63 large language model engineer jobs at 49 companies in United States
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
AccentureNYSE: ACN: Global provider of management consulting and technology services.
7.5+ YOE7.5+ years experience; expertise in Large Language Models (LLMs), Virtual Agents, Generative AI; strong software engineering, compliance and governance experience; 15 years full-time education.
Large Language Models (LLMs), Virtual Agents, Generative AI
CACI InternationalNYSE: CACI: Provides information technology and engineering services for government agencies.
10+ YOEActive TS/SCI clearance, BS in CS/ML/math, 10+ years experience (2+ years building LLM applications), Python and ML libraries, experience with LLM frameworks, RAG/vector DBs, deployment, and team leadership.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Apply deep learning and large language models to improve search quality and customer experience; partner with research and product teams and deliver measurable results at global scale.
Crusoe: Provides energy-efficient cloud infrastructure powered by stranded and renewable energy.
Senior production engineer with distributed systems experience, hands-on with large language models, SRE mindset, and strong programming skills (Python, Go, Java, or C++), Kubernetes knowledge, and collaborative skills.
Rippling: Unified platform managing workforce HR, IT, and finance operations
8+ YOE8+ years backend engineering experience in distributed systems; expertise designing large-scale fault-tolerant systems; proficiency in a modern backend language and complex data modeling; high autonomy and domain agility.
LenovoHKSE: 992: Manufactures personal computers, mobile devices, and server infrastructure.
Develop, fine-tune, and deploy large language and multimodal AI models; strong Python and ML framework experience; advanced degree in CS/AI/ML or equivalent.
United States or Belmont or Colorado or California or Hawaii or Nevada or New York or Maryland or Washington or Connecticut or Rhode Island
$148k-$215k/yrRemoteFull Time
RingCentralNYSE: RNG: Sells cloud-based business phone and video conferencing software.
8+ YOE8+ years in customer-facing technical roles, proficiency with large language models, retrieval-augmented generation, vector databases and agent orchestration, experience designing integrations and compliance controls, bachelor's degree or equivalent experience.
AIR Pro, large language models, retrieval-augmented generation, vector databases, agent orchestration frameworks, SIP, WebRTC, SBCs, CCaaS, UCaaS, OAuth 2.0, SAML, SCIM, Message Video Phone (MVP)
Sesame: Designing wearable computers with lifelike voice-driven AI agents.
Expert-level PyTorch; production ML software engineer; large language model training; evaluation metrics; ML lifecycle expertise; track record shipping production ML.
PyTorch, Python, Machine Learning tooling, Production code
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.
Senior Staff Machine Learning Engineer (Coupang AI Foundations)
Seattle or Mountain View
HybridFull Time
CoupangNYSE: CPNG: Provides an end-to-end e-commerce and logistics network.
8+ YOE8+ years in AI/ML; Bachelors in CS or related field; 5+ years in AI/ML techniques; experience with large language models or related systems preferred.
Python, Machine Learning, Deep Learning, Large Language Models, Agents/Tokenization (as applicable), Algorithms
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
2+ YOE2-3 years developing AI solutions with large language models; bachelor in computer science; experience with model training, deployment, data preparation, and ML pipelines.
DocuSignNASDAQ: DOCU: Provides electronic signature and agreement management software solutions.
5+ YOE5+ years software engineering, distributed systems, backend architecture, ML model deployment, Python plus another typed language, Kubernetes, Kafka/Service Bus, large-scale systems, SLAs/SLOs
Python, Kubernetes, Kafka, Service Bus, Temporal, Ray, Spark, Azure, GCP, Model serving, infrastructure as code
AI Fund: Builds and invests in artificial intelligence startups.
3+ YOE3+ years software engineering experience with end-to-end ownership of production AI applications, experience with large language or multimodal models, SQL/NoSQL, frontend/backend/cloud, retrieval and agentic systems, and strong communication.
large language models, multimodal models, SQL, NoSQL, APIs, cloud infrastructure
Tavus: Develops AI models for creating emotionally intelligent digital humans.
PhD (or near completion) in a relevant field; strong background in large multimodal models and generative language models; experience in fine-tuning/adapting VLMs; strong PyTorch skills.
PalantirNasdaq: PLTR: Developing software platforms for data integration and analytics.
2+ YOE2+ years software engineering experience; proficiency in Python, Java, C++, TypeScript/JavaScript; hands-on experience using Large Language Models (LLMs); strong cross-functional collaboration and communication skills.
Python, Java, C++, TypeScript, JavaScript, Large Language Models (LLMs)
Hearst: Provides diversified media, information, and business services worldwide.
Experience with large language models and ASR, prompt engineering, agentic systems, APIs and scripting (Python, JavaScript); training and communication skills; commitment to ethical journalism.
large language models, automatic speech recognition models, APIs, Python, JavaScript
Transluce: Develops open-source tools for AI interpretability and safety evaluation.
Experience fine-tuning language models, designing architectures, creating evaluations, strong programming, experimental design, and communication; ability to scale training/inference for very large models.
SWE-bench, predictive concept decoders, user model extractors
Anthropic: Developing safe and reliable artificial intelligence systems.
Experience training and evaluating large language models, Python proficiency, building large-scale data pipelines, strong communication and independent collaboration skills; bachelor’s degree or equivalent required.