Software Engineer, AI & Graph - BlueArc

Company:

BlueArc is a seed-stage venture-backed start-up building AI automated systems that deeply research fraud, policy abuse, and anti-money laundering (AML) risks of businesses. We provide automated and high-quality risk decisioning for tech and financial services companies who have risky business customers.

Market opportunity:

2-5% of the global economy is involved in money-laundering and losses from scams are estimated at $1 trillion annually. Meanwhile $200B is spent on financial crimes compliance (FCC) globally, which results in <1% of laundered funds interdicted. Legacy Know Your Business (KYB) and Enhanced Due Diligence (EDD) systems are limited and highly manual. BlueArc’s AI and graph are disruptive technologies for this huge market.

Who we are:

We’re a small, highly technical team with 20+ years of experience building highly-scalable risk systems. We’re passionate about working together to tackle hard problems and build ambitious, first-of-their-kind solutions to this important problem. 

Job Responsibilities:

• Build AI-powered algorithms for deeply researching good and bad businesses 

• Expand our Business Risk Knowledge Graph, mapping the relationships between business entities, people, and things

• Search for sources of information 

• Accurately extract information from each source, understanding the context. For example, a post about a lawsuit requires understanding who is suing, who is being sued, the lawsuit status and the potential consequences. Develop how we research it, how it is represented in the graph, and how it affects our assessment of the business

• Contribute in countless ways to the technical strategy, best practices, and culture as we build the company from the ground up

Requirements:

• 2+ years algorithm development experience

• 2+ years building high-quality, scalable back-end systems

• End-to-end machine learning modeling experience

• Strong data analysis skills

• Advanced proficiency in Python 

• Track record of solving hard problems

• Continuous learner looking for new challenges

• Cultural asset who improves their team and workplace in many ways

• BS degree in computer science, math, engineering, or equivalent experience

• Located in SF Bay Area

Additional qualifications (not required):

• Experience in fraud detection and risk management 

• Experience applying LLMs in AI-powered algorithms

• Advanced ML experience including graph modeling, embeddings, similarity modeling, clustering, and/or anomaly detection

Work environment:

• Primarily in-person, highly collaborative work environment with flexibility for 1-2 day / week remote work as needed

• Office in downtown Redwood City, California (2 blocks from Caltrain)