LLM/ML Engineer

Anvilogic is a rapidly growing venture-backed cyber-security startup developing a modern threat detection and response platform enabling network defenders to rapidly respond to escalating cyber attacks while using the industry's most efficient data platforms. Our founders have many years of security DNA, and have previously built market-leading security products across numerous security domains including email, endpoint, data center and SIEMs. We are headquartered in Palo Alto, CA.

Your Career

Detecting security breaches using data analytics offers great opportunities, and continues to remain a technically challenging problem requiring knowledge of threats, security log and alert data sets and analytic/ML engineering. You are familiar with the cyber-security domain, and are passionate about applying traditional ML-based techniques and developing LLM applications including security co-pilots to solve threat detection and investigation problems. You are hands on, collaborate well with threat hunters and detection experts, and work fluently with data and love to share results with the wider threat detection and hunt community.

Job Description

• Design and develop co-pilots for threat detection, hunt and investigation using generative AI and LLM's to offer analysts an intelligent assistant for their detection and response tasks
• Develop and enhance the Anvilogic security co-pilot using state of the art patterns and frameworks in LLM application development including agents, prompt engineering and RAG.
• Define, implement and improvise algorithms to detect known and unknown threats using techniques in predictive machine learning working closely with in-house threat detection and hunt experts
• Develop predictive ML algorithms using large security datasets on a variety of ML stacks(AWS Sagemaker, Tensor Flow, Snowflake Snowpark, Python Notebooks) on a variety of analytics engines (e.g. Snowflake, Splunk, Azure Sentinel)

Requirements

• BS in a quantitative field (e.g., Computer Science, Electrical Engineering, Statistics, or Operations Research) with 1-3 years of relevant experience
• Hands on familiarity with LLM frameworks and design patterns including agents, prompt engineering and RAG.
• Significant experience in Python or Java
• Passion for pursuing difficult problems and delivering validated results
• Working knowledge of cloud APIs (AWS/Azure/Google Cloud Platform, etc.)
• Advanced competency with relational SQL (including window functions, recursion, etc.),

Benefits

• High growth startup - plenty of room for you to directly impact the company and grow your career
• Experienced Leadership with a priority on Culture
• Remote work environment
• Competitive compensation and opportunity for equity
• Unlimited paid time off
• Health, dental, vision insurance
• 401k match
• Other great perks, such as home office stipend and donation policy