Level AI
Lead Research Engineer - Applied AI
Level AI, San Francisco, California, United States, 94199
About Level AILevel AI is revolutionizing customer experience by transforming contact centers into strategic assets through state-of-the-art AI. Our platform leverages LLMs and real-time intelligence to understand complex customer interactions and drive better business outcomes.
Role Overview - We’re looking for a hands-on and visionary
Lead Applied AI Researcher
to spearhead cutting-edge advancements in agentic AI systems. This role will focus on building intelligent, decision-making agents powered by reinforcement learning, LLM fine-tuning, and multi-agent frameworks to enhance our AI-native CX platform.
Key Responsibilities
Design and build agentic systems that operate autonomously across multi-step tasks Apply and adapt reinforcement learning (RL) techniques to real-world interaction and decision-making problems Fine-tune and optimize large language models (LLMs) for dialog management, summarization, and real-time analysis of customer interactions Lead rapid prototyping and applied research on intelligent agent behavior, planning, and memory across various domains Collaborate closely with engineering, product, and data teams to bring research into production at scale Stay current with advancements in open-source LLMs, RL frameworks, and cognitive architectures, integrating them when relevant Publish internal whitepapers and influence long-term AI strategy at Level AI
Qualifications
Experience in CS, Machine Learning, or a related field 5 - 10+ years in applied AI roles with proven contributions to LLM, RL, or agentic research Experience expertise in: Reinforcement Learning (e.g., PPO, GRPO) Agentic systems (planning, memory, autonomy) LLM fine-tuning (PEFT, LoRA, RLHF) Proficiency with PyTorch, Hugging Face, Ray RLlib, or similar libraries Experience shipping research to production in high-stakes environments Strong publication record or open-source contributions a plus BonusExperience with dialog agents, retrieval-augmented generation (RAG), or multi-agent collaboration frameworks Background in building or scaling tool-using agents in enterprise contexts
Why Join Us? Work at the frontier of LLM + agentic system research applied to real business problems.
Collaborate with a world-class team in a high-growth, Series C startup.
Competitive salary, equity, and benefits. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Transportation, Logistics, Supply Chain and Storage Referrals increase your chances of interviewing at Level AI by 2x Get notified about new Research Engineer jobs in
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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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Role Overview - We’re looking for a hands-on and visionary
Lead Applied AI Researcher
to spearhead cutting-edge advancements in agentic AI systems. This role will focus on building intelligent, decision-making agents powered by reinforcement learning, LLM fine-tuning, and multi-agent frameworks to enhance our AI-native CX platform.
Key Responsibilities
Design and build agentic systems that operate autonomously across multi-step tasks Apply and adapt reinforcement learning (RL) techniques to real-world interaction and decision-making problems Fine-tune and optimize large language models (LLMs) for dialog management, summarization, and real-time analysis of customer interactions Lead rapid prototyping and applied research on intelligent agent behavior, planning, and memory across various domains Collaborate closely with engineering, product, and data teams to bring research into production at scale Stay current with advancements in open-source LLMs, RL frameworks, and cognitive architectures, integrating them when relevant Publish internal whitepapers and influence long-term AI strategy at Level AI
Qualifications
Experience in CS, Machine Learning, or a related field 5 - 10+ years in applied AI roles with proven contributions to LLM, RL, or agentic research Experience expertise in: Reinforcement Learning (e.g., PPO, GRPO) Agentic systems (planning, memory, autonomy) LLM fine-tuning (PEFT, LoRA, RLHF) Proficiency with PyTorch, Hugging Face, Ray RLlib, or similar libraries Experience shipping research to production in high-stakes environments Strong publication record or open-source contributions a plus BonusExperience with dialog agents, retrieval-augmented generation (RAG), or multi-agent collaboration frameworks Background in building or scaling tool-using agents in enterprise contexts
Why Join Us? Work at the frontier of LLM + agentic system research applied to real business problems.
Collaborate with a world-class team in a high-growth, Series C startup.
Competitive salary, equity, and benefits. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Transportation, Logistics, Supply Chain and Storage Referrals increase your chances of interviewing at Level AI by 2x Get notified about new Research Engineer jobs in
San Francisco Bay Area . Fremont, CA $147,372.00-$196,497.00 6 days ago R&D Engineer, Detector Design, Model, and Analysis
Research Engineer / Research Scientist - Deep Research
Research Scientist, World Models for Autonomous Vehicles
Mountain View, CA $166,000.00-$244,000.00 2 days ago Mountain View, CA $120.00-$200.00 2 days ago Research Scientist, Latent State Inference for World Models
San Francisco, CA $100,000.00-$300,000.00 5 days ago Research Engineer/Research Scientist, RL/Reasoning
Research Engineer / Research Scientist, Post-Training
Research Engineer / Research Scientist - Agents
Santa Clara, CA $103,000.00-$165,600.00 2 days ago San Francisco, CA $100,000.00-$300,000.00 6 days ago Research Scientist (L5) - Globalization - Multimodal LLM
Research Scientist, World Models – Policy Training and Evaluation
Research Scientist, Molecular Pharmacology
South San Francisco, CA $120,000.00-$140,000.00 10 hours ago Machine Learning Engineer, Perception and Sensor Simulation
Mountain View, CA $170,000.00-$216,000.00 1 week ago OBA Research Scientist/Engineer – Fusion Energy Systems
Fremont, CA $200,000.00-$350,000.00 1 day ago OBA Research Scientist/Engineer – Fusion Energy Systems
Livermore, CA $200,000.00-$350,000.00 1 day ago Burlingame, CA $147,000.00-$208,000.00 12 hours ago Sunnyvale, CA $165,000.00-$180,000.00 1 week ago Research Engineer/Scientist, Strategic Deployment
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr