Why join us
Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises — including DoorDash, Flexport, and Compass — use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Engineering at Brex
The Engineering team includes Data, IT, Security, and Software, and is responsible for building innovative products and infrastructure for both internal and external users. We have multiple autonomous and collaborative teams who are eager to learn, teach, and constantly improve how things work. Together, we strive to build robust and scalable systems that enable Brex to grow rapidly and help our customers reach their full potential.
What you’ll do
As a Staff Data Scientist in the AI team, you will significantly impact Brex’s spend management offering by leveraging cutting-edge AI/ML techniques to drive automation and enhance customer experience. You will own the full lifecycle of AI/ML initiatives, from initial ideation and research to development, production deployment, and continuous improvement, and leading our data science function into a world that leans harder on third party foundational LLMs like Claude and ChatGPT. This role requires a strategic and tactical approach, balancing technical execution with cross-functional collaboration to prioritize and deliver high-impact solutions. You will play a crucial role in shaping the future of Brex’s AI-powered products.
Where you’ll work
This role will be based in our New York office. You must be willing to work in office at least 2 days per week on Wednesday and Thursday. Employees will be able to work remotely for up to 4 weeks per year.
Responsibilities
- Lead the design and implementation of complex spend management solutions using advanced ML and AI techniques, including large language models (LLMs).
- Partner closely with product managers, designers, and engineers to identify critical customer pain points and strategic opportunities for AI/ML development and deployment.
- Serve as a technical expert and thought leader, consulting and educating internal teams on emerging research, technologies, and best practices in leveraging ML and LLMs for product design and development.
- Drive continuous improvement of the AI platform by collaborating with AI Platform engineers to define future requirements and evolve the platform's capabilities.
- Mentor and provide technical guidance to junior and mid-level data scientists, fostering a culture of innovation and excellence within the team.
Requirements
- 5+ years of industry experience developing and deploying advanced optimization and machine learning models that have demonstrated significant business impact.
- M.S. or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field.
- Expert proficiency in programming languages (e.g., Python) and extensive experience with machine learning libraries (e.g., SciKit Learn, TensorFlow, PyTorch).
- Deep expertise in natural language processing (NLP) techniques, including experience with various LLM architectures and applications.
- Strong experience in big data analysis, system design, and backend integration with ML/LLM systems and solutions.
- Exceptional understanding of quantitative disciplines such as statistics, machine learning, operations research, and causal inference.
- Proven track record of productionizing and A/B testing sophisticated machine learning models in real-world applications.
- Demonstrated experience leveraging commercial or open-source LLM APIs (e.g., Anthropic, OpenAI, Llama) to build innovative solutions.
- Must be willing to work in office 2 days per week on Wednesday and Thursday.
Bonus points
- Experience leading complex technical projects from conception to production.
- Prior experience in the finance industry or with spend management solutions.
- Active contributor to the data science community through publications, open-source projects, or conference presentations.
- Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
Compensation
The expected salary range for this role is $240,000 - $300,000. 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.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
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What We Do
Brex is all-in-one finance for growing businesses. We help companies spend, save, and earn smarter—and take every dollar further—by doing more than a bank, bookkeeping, or reward program could ever do alone. After completing the Y Combinator accelerator program in 2017, Brex has grown to over 600 employees and raised over US $940 million in venture capital. Learn more at brex.com.
