AI Research Scientist, Agentic Systems

🔥 3 minutes ago

🇺🇸 United States – Remote

💵 $120k - $180k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧠 AI Research Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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CrowdStrike

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2011

🔒 Cybersecurity

☁️ SaaS

🤖 Artificial Intelligence

Cybersecurity • SaaS • Artificial Intelligence

CrowdStrike is a cybersecurity company that provides cloud-based security services to stop breaches. It is recognized as a leader in endpoint protection, identity and cloud security, and managed detection and response. CrowdStrike's platform, Falcon, integrates artificial intelligence to offer real-time visibility, detection, and protection against sophisticated cyber threats. The company is lauded for its effectiveness in securing networks and data, making it a trusted partner for businesses worldwide.

📋 Description

• Work at the intersection of Artificial Intelligence and Threat Research • Collaborate with cybersecurity subject-matter experts to understand analyst workflows and security operations procedures • Post-train LLMs and agents using supervised fine-tuning and reinforcement learning to automate analyst procedures and improve reliability on real security tasks • Devise AI agents and combine them into increasingly complex workflows involving planning, reasoning loops, tool and function calling, retrieval, and memory • Research new approaches to agentic planning and prototype state-of-the-art methods from the literature • Establish objective benchmarking criteria for agentic systems, including evals, LLM-as-judge pipelines, and trajectory-level metrics • Optimize prompts and inference for model performance • Collaborate across Engineering, Data Science, and Managed Services teams and partner with engineers to move prototypes toward production • Track Artificial Intelligence developments and identify, define, and prioritize research areas

🎯 Requirements

• Excellent foundations in machine learning, probability, and statistics, with sound instincts for uncertainty, statistical skew/variance, and experimental design • PhD-level depth of understanding in modern machine learning research; a doctorate itself is not required, but equivalent mastery is expected • Ability to read, critique, implement, and improve upon current research papers • Experience training generative models, with strong command of LLM training fundamentals including architecture, optimization, tokenization, data, and scaling behavior • Reinforcement learning/post-training experience including RLHF/RLAIF, PPO/GRPO/DPO, reward modeling, and building RL environments for agents • Experience building agentic systems, including ReAct, planning, reflection, tool and function calling, retrieval, memory, and context management • Experience with systematic prompt optimization and designing and building evals for LLM systems • Fluency with GPUs, PyTorch, and common LLM training and serving stacks such as Hugging Face Transformers/TRL/PEFT, DeepSpeed/FSDP, and vLLM/TGI/SGLang • Strong, reproducible research engineering, clean Python, and disciplined experiment tracking • Ability to work independently on ambiguous and complex objectives and communicate clearly within a large project team • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency, and drive business outcomes

🏖️ Benefits

• Market leader in compensation and equity awards • Comprehensive physical and mental wellness programs • Competitive vacation and holidays for recharge • Paid parental and adoption leaves • Professional development opportunities for all employees regardless of level or role • Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections • Vibrant office culture with world class amenities • Health insurance • 401k • Paid time off • Eligibility for bonuses • Equity grants