Engineering at Brex

The Engineering team includes Data, IT, Security, and Software, and is responsible for building innovative products and infrastructure for Brex and our customers. We believe that engineers should accelerate the business through technology, and collaborate across multiple teams to accomplish that.

Teams are autonomous, filled with inclusive individuals, eager to learn, teach, constantly improve how things work. The software we build today is the foundation for dozens of Brex systems in the future, so engineers have a strong sense of ownership and accountability and take pride in their craft.

Applied AI at Brex

As part of Brex’s AI team, Applied AI leverages the cutting edge AI/ML techniques to empower automation solutions in Brex’s spend management offering, working closely with product, design and engineering teams. 

What you’ll do

The Applied AI team drives for a more streamlined experience for our customers via AI/ML automations. We’re looking for a strong data scientist to join our nimble and effective team. You’ll be responsible for the full cycle of work from ideation, research, development to production and further improvements, working both strategically and tactically with cross functional stakeholders to balance priority and delivery. 

Responsibilities

• Design and implement spend management related solutions with ML and AI techniques 
• Partner closely with product managers, designers and engineers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process
• Consult and educate internal teams on current and up and coming research, technologies and best practices of leveraging ML and LLM in product design and development 
• Work closely with AI Platform engineers to identify upcoming requirements and continuously evolve the AI platform offering 

Requirements

• 4+ years of industry experience developing optimization models driving business impact
• Passion for delivering data-driven solutions leveraging data, ML and AI
• M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field
• Familiarity with programming languages e.g. python and machine learning libraries e.g. SciKit Learn
• Deep understanding of natural language processing techniques 
• Good experience in overall big data analysis, system, backed integration with ML/LLM system/solution
• Good understanding of quantitative disciplines such as statistics, machine learning, operations research, and causal inference
• Experience productionizing and A/B testing different machine learning models

Bonus points

• Experience leveraging commercial or open source LLM APIs to build solutions, such as OpenAI, llama 
• Experience in the finance industry

Compensation

The expected salary range for this role is 176,800 - 221,000 CAD. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.