Applied AI Engineer, Investments

The Team

The Investments team is a key partner in enabling Biohub’s pioneering work to combine frontier AI with frontier biology to solve disease and Learning Commons’ mission to build AI infrastructure that aligns how students learn with the tools that shape their learning experiences.

The Opportunity

As an Applied AI Engineer on the Investments team, you will help build AI-powered applications and workflows that enhance investment research, decision-making, and operational efficiency. Working closely with investment and operations professionals, you will develop tools and data solutions that make information more accessible, automate manual processes, and generate actionable insights across the investment lifecycle.

What You'll Do

• Build AI-enabled applications and workflows that support investment research, manager monitoring, reporting, and operational processes.
• Develop integrations with internal and external data sources to improve access to information and reduce manual work.
• Contribute to data pipelines, automation workflows, and reporting systems that improve efficiency and data accessibility.
• Organize, process, and prepare structured and unstructured data for use in AI applications and analytics tools.
• Implement data validation, monitoring, and quality checks to improve the reliability of investment data.
• Partner with investment and operations team members to understand business needs and help develop technical solutions.
• Explore and prototype emerging AI technologies, including large language models, retrieval systems, and workflow automation tools.
• Participate in code reviews, testing, documentation, and software engineering best practices.
• Troubleshoot technical issues and contribute to system improvements.
• Stay current on developments in artificial intelligence, software engineering, data systems, and financial technology.

What You'll Bring

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Mathematics, Statistics, Engineering, Finance, Economics, or a related field, or equivalent practical experience.
• Strong interest in financial markets, investing, and applying technology to improve investment decision-making.
• Strong programming skills in Python or a similar language, with experience building software applications through internships, research, coursework, hackathons, or personal projects.
• Solid foundation in computer science fundamentals, including algorithms, data structures, software design principles, APIs, databases, and data processing.
• Interest in artificial intelligence, large language models, workflow automation, and emerging technologies.
• Exposure to software engineering, machine learning, data science, quantitative research, or related technical disciplines.
• Strong analytical, problem-solving, written communication, and collaboration skills, with the ability to work effectively with both technical and non-technical partners.
• Familiarity with modern development tools, cloud technologies, data analysis, or investment-related concepts is a plus.

Compensation

The Redwood City, CA base pay range for a new hire in this role is $134,000 - $183,700. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.

Better Together

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.

• Provides a generous employer match on employee 401(k) contributions to support planning for the future.
• Paid time off to volunteer at an organization of your choice.
• Funding for select family-forming benefits.
• Relocation support for employees who need assistance moving.