Lead Research Engineer - Applied AI

California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Customer Experience, Artificial IntelligenceIndustries

Requirements

Candidates should possess a Bachelor's degree in Computer Science, Machine Learning, or a related field, with 5-10 years of experience in applied AI roles, demonstrating proven contributions to LLM, RL, or agentic research. Expertise in reinforcement learning techniques (such as PPO and GRPO), agentic systems, LLM fine-tuning methods (including PEFT and LoRA), and proficiency with libraries like PyTorch, Hugging Face, and Ray RLlib is required. A strong publication record or open-source contributions is considered a plus.

Responsibilities

The Lead Research Engineer will design and build autonomous agentic systems, applying and adapting reinforcement learning techniques to real-world interaction problems. They will fine-tune and optimize large language models for dialog management, summarization, and real-time analysis of customer interactions. This role involves leading rapid prototyping and applied research on intelligent agent behavior, planning, and memory across various domains, collaborating closely with engineering, product, and data teams to integrate research into production at scale. Furthermore, the Lead Research Engineer will stay current with advancements in LLMs, RL frameworks, and cognitive architectures, publishing internal whitepapers and influencing long-term AI strategy at Level AI.

Skills

Applied AI

Agentic AI systems

Reinforcement Learning

LLM fine-tuning

Multi-agent frameworks

Dialog management

Summarization

Real-time analysis

Autonomous systems

Planning

Memory

PyTorch

Hugging Face

Ray RLlib

PEFT

LoRA

RLHF

Dialog agents

Level AI

Enhances customer experience through intelligent automation

About Level AI

Level AI enhances customer experience by integrating human and machine intelligence, primarily serving the Business Process Outsourcing (BPO) industry, including call centers and customer service departments. The company provides software solutions that analyze and optimize call center data, breaking down data silos to ensure all relevant information is accessible for better decision-making and improved customer interactions. Level AI operates on a subscription model, charging clients for access to its platform and tools. Its technology boosts sales team conversion rates and increases the productivity of Quality Assurance (QA) teams, leading to reduced QA costs. By focusing on intelligent automation and data integration, Level AI helps clients achieve significant performance improvements and cost savings, setting it apart from competitors in the BPO sector.

Mountain View, CaliforniaHeadquarters

2018Year Founded

$72.4MTotal Funding

SERIES_CCompany Stage

Enterprise Software, AI & Machine LearningIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

Remote Work Options

Parental Leave

401(k) Retirement Plan

Risks

Emerging competition from other AI platforms threatens Level AI's market share.

Rapid AI advancements could render Level AI's offerings obsolete without continuous innovation.

Data privacy regulations may impact operations, especially with new monitoring features.

Differentiation

Level AI integrates human and machine intelligence for enhanced customer experience.

The company eliminates data silos, improving decision-making and customer interactions.

Level AI's subscription model offers steady revenue and customer retention.

Upsides

Increased demand for AI-driven customer service solutions boosts Level AI's market potential.

Growing interest in real-time conversational intelligence tools enhances call center performance.

Rising adoption of generative AI technologies automates tasks and personalizes interactions.

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