Description:

Aleph is redefining the world of Financial Planning & Analysis (FP&A) and operates in a multi-billion dollar software category.
The company was founded by technical experts from Stanford and MIT with experience at top-tier companies like Google and Microsoft.
Aleph is backed by prominent venture capital firms and serves clients such as Turo, Notion, and Zapier.
The company has developed a seamless way to centralize financial data from various sources and aims to create a trustworthy AI platform for finance.
The role of Research Engineer in Applied AI involves building AI agents for financial planning and analysis, focusing on leveraging LLMs to automate workflows while ensuring accuracy and transparency.
Responsibilities include researching and developing techniques to improve LLMs, building prototypes, creating evaluation datasets, delivering scalable code in Python and TypeScript, and collaborating with design and operation teams.

Requirements:

Candidates should have a product mindset and be eager to understand customer problems to build effective solutions.
A solid background in algorithms and data structures is required.
Experience with AI platforms, generative models, and LLMs is essential.
Strong communication and collaboration skills are necessary for effective teamwork with cross-functional teams and stakeholders.
Previous startup experience or the ability to thrive in an unstructured environment is preferred.
Experience with B2B SaaS products, analytics, or tools for finance teams is required.
Exposure or interest in finance, particularly in FP&A, is important for this role.

This position offers a remote-first work environment, focusing on candidates within the Americas to align with team working hours.
Aleph is committed to diversity and inclusion, ensuring a workplace free from discrimination and harassment.
The company emphasizes hiring based on qualifications, merit, and business needs, providing equal opportunity for all applicants.