Founding Machine Learning Engineer (Retrieval, Ranking, Recommendations) at Fintool (W23)

$150K - $250K • 1.00%

Financial copilot for institutional investors

San Francisco

Full-time

3+ years

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About Fintool

Our mission is to organize the world financial information. We are building a financial copilot for investment professionals to make better decisions. We believe that chat-based interfaces are the future of the web. In most cases, it's easier to ask a question and get an answer than to search for keywords and read dozens of pages.

Fintool is a financial copilot for public equity investors. It's ChatGPT on top of financial documents, starting with SEC filings. Fintool is engineered to discover financial insights beyond the reach of timely human analysis. Fintool helps summarizing long annual reports, compute numbers and find new insights by comparing years of filings.

We are one of the fastest-growing LLM applications, and thousands of investors have signed up for Fintool. We are at the forefront of revolutionizing how information is organized, consumed, and created, and we would love to work with you!

About the role

Skills: Python, Machine Learning, Deep Learning

**Apply via the form below so we can look at your application faster ** https://jobs.ashbyhq.com/Fintool/49d3f793-2f48-4911-ad6b-77f623d1ef39

About

Fintool is a financial copilot for institutional investors. It’s ChatGPT on top of financial documents, starting with SEC filings. Fintool is engineered to discover financial insights beyond the reach of timely human analysis or search software.

Fintool is backed by Y Combinator and entrepreneurs such as the co-founders of Datadog, Vercel, HuggingFace, or domain experts from OpenAI to Deepmind.

Team

Nicolas Bustamante: spent 7 years building one of the largest AI-driven legal search engines (Bloomberg for lawyers). Nicolas hired nearly 200 people, secured millions of dollars in debt and equity funding, and the profitable business was successfully acquired by Summit Partners, a $43B billion growth equity fund, for $x00M+

Edouard Godrey: worked for 9 years at Apple, leading teams of data scientists and engineers. He worked on Apple Search (Spotlight) and Apple Pay, maintaining big data pipelines and deploying cutting-edge AI models. He received the 2019 Apple Pay Innovation Award for outstanding contributions and fresh insights.

Our philosophy

Small team : small in-person teams outperform large and well-funded companies. When people visit our office, they should be surprised by how few people we are.

Ship code : we avoid meetings, PM jargon to release early, release often, and listen to customers.

In-person : we believe high-performing teams do their best work, build long-term relationships, and have the most fun in person.

Company Values

Clone and improve the best: we're not about reinventing the wheel but about enhancing proven success. We are shameless cloners who stand on the shoulders of giants. We draw inspiration and then create differentiation because distinctiveness drives dominance.

Release early, release often, and listen to your customers : speed matters in business, so we push better-than-perfect updates for customers asap. Mastery comes from repeated experiments and learning from mistakes rather than putting in a set number of hours. It’s 10,000 iterations, not 10,000 hours.

Warren Buffett: We model our personal and professional ethos on the principles he exemplifies. Upholding integrity, valuing honesty, practicing frugality, championing lifelong learning, embracing humility, extending generosity, applying rationality, and demonstrating patience. Every day, we strive to mirror these Buffett-inspired virtues.

Job Desc

Your challenge is to develop a high-quality, low-latency retrieval augmented generation (RAG) on top of millions of complex documents. You will lead the implementation of custom embeddings, rankers, and hybrid search.

Requirements : Python, Machine Learning (embeddings, ranking, recommendations), LLM, . Knowing Spark, Databricks and Typescript is a plus.

Experience : 3+ years

Location: San Francisco (no remote)

Contract : Full-time

**Apply via the form below so we can look at your application faster ** https://jobs.ashbyhq.com/Fintool/49d3f793-2f48-4911-ad6b-77f623d1ef39

Technology

What does your tech stack look like? Next.js, React, TypeScript, Python, Tailwind, Postgres, AWS, Vercel, Datadog, Elastic, Databricks Spark, OpenAI.

Interview Process

We move fast; the entire process can be done in less than a week.

30-min Zoom screening with the CTO or the CEO: to understand if you have a deep expertise that we are on the same page regarding how we work.

30-min Zoom with the CEO: to understand if your career goals aligned with our team and if you fit our culture. Most of the time is spent answering your questions.

2 hours in-person interviews: an hour of technical brainstorm about our challenges and an hour about our business challenges. There is also plently of time for open conversation and answer your questions

Two days trials: if possible we prefer when candidates spend two days with us to get a better sense of the team and the work we do. We pay for the two days.

Reference checks: we ask for the contact of three references (colleagues and managers) to get a better sense of your work and how you work with others.