9 large language model engineer jobs at 8 companies in Manhattan, NY

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Senior AI/ML Engineer
New York City, New York, United States
RemoteFull Time
Pypestream
Pypestream: Enterprise-grade conversational AI agents for customer service automation.
Build inference infrastructure, own model evaluation pipelines, optimize latency, and integrate orchestration engines with frontier large language models.
4d
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Oliver Wyman - Senior Lead AI Engineer
New York City or Boston or Toronto or Montreal
$195k-$250k/yr HybridFull Time
Marsh McLennan
Marsh McLennanNYSE: MRSH: Provides global insurance brokerage, risk management, and professional consulting services.
Expertise designing and deploying large-scale AI systems, agent platforms, LLMs, data engineering, evaluation, observability, mathematical modeling, and modern AI programming languages.
Azure Foundry, AWS Bedrock, Gemini Enterprise Agent Platform, LLM, Open-Source
1mo
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Staff Software Engineer - Spend Platform
New York or San Francisco
$189k-$315k/yr OnsiteFull Time
Rippling
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
1mo
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Research Engineer, Algorithms
New York City or London or Palo Alto or Copenhagen or Seoul
$300k-$400k/yr OnsiteFull Time
Normal Computing
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.
Python
3mo
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Senior Machine Learning Engineer, Personalization, Magenta
New York, New York, United States
$184k-$263k/yr HybridFull Time
Spotify
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.
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Research Engineer, Cyber Gemini, DeepMind
New York or Mountain View or San Francisco
$174k-$252k/yr OnsiteFull Time
Google
GoogleNASDAQ: GOOGL: Provides online search, advertising, cloud computing, and consumer electronics.
5+ YOEBachelor's degree or equivalent practical experience; 5 years with large language models, including pre-training or fine-tuning. Cybersecurity, data pipelines, applied research, and ML expertise preferred.
large language models (LLM), Gemini, CodeMender, RL, SFT, ML
1mo
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Campus AI Research Engineer – Research Automation (Intern)
Chicago or New York City
$300k/yr OnsiteInternship
Jump Trading
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.
C, C++, Python, CUDA, PyTorch, JAX, TensorFlow, ROCm, transformers, SSMs, HPC
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AI Infra Engineer Graduate (Recommendation & LLM) 2027 Start (PhD)
San Jose or Los Angeles or Singapore or New York City or London or Dublin or Paris or Berlin or Dubai or Jakarta or Seoul or Tokyo
$162k-$388k/yr OnsiteFull Time
TikTok
TikTok: Global short-form video hosting and social media platform.
PhD in computer science or related field; strong C++ or Python skills; knowledge of algorithms, computer systems, PyTorch or TensorFlow, Transformer architectures, and large language models.
C++, Python, PyTorch, TensorFlow, CUDA, Triton, FSDP, ZeRO, FlashAttention
3w
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Machine Learning Engineering Manager, Personalization
New York City or Boston
$184k-$263k/yr RemoteFull Time
Spotify
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.
large language models