Member of Technical Staff

Overview “If you want to do great work, you clearly must work on important problems.” – Richard Hamming, You and Your Research About Us Quadrillion is building the research lab in a box. Our product, Qualia, is an agentic research editor: a ground-up replacement for JupyterLab and VSCode that orchestrates agents to design experiments, run them in parallel, and determine what to try next. ML engineers can use this to sweep across models, quants to grind through alt-data datasets, and data scientists to generate beautiful visualizations. The goal is for researchers to spend their time on ideas, not boilerplate. We’ve raised a $17M seed round to build this vision, led by Audacious Ventures and Conviction, with participation from ex/ante, Bloomberg Beta, Wes McKinney (founder of Pandas) and many more. Who We’re Looking For This is a role for high-agency engineers that latch onto hard problems. We’re looking for “spiky” engineers with a willingness to learn. Maybe you’re a full-stack engineer who helped build a startup from zero to one. Perhaps you have deep technical instincts and have strong opinions about how systems should work. Or a researcher who’s always eager to push the latest technology to its limits. We like people with sharp technical taste. Bring strong opinions, weird edge cases you’ve run into, or systems you’ve thought deeply about – tell us your really strongly held opinion about hooks, or lecture us on some weird Python feature we don’t know! We care less about being right all the time and more about how you reason and iterate. Note: you’ll be writing Python and React every day on the job. This means that we’re looking for people that are highly skilled in one of those two buckets, or are willing to learn fast to become highly skilled. We’re full-time, in-person in NYC. We pay well (cash and equity) and cover lunch/dinner, health insurance, and generous PTO for full-time employees. Why join us We’ve moved fast with a tight-knit, hardworking team. We work on making our system better by the hour. In just a couple weeks, we built a functioning Jupyter replacement that we use every day. Building a Product To Take On Jupyter And Make It 10x Better Is Already incredibly Hard. Making a Product That Unblocks The Path To Unsolved Problems Is Even More So. Here’s a Taste Of The Problems We Tackle Every Day: Building a next-gen Jupyter-compatible notebook optimized for LLMs. Designing kernels that permit distributed experiment orchestration, both local and cloud-based. Training models that can actually do experimentation—collecting data, building benchmarks, and standing up infrastructure for large-scale RL rollouts. Building evals to understand what makes an agent reason like a scientist, not just answer like a student. Developing new ways for humans and agents to coordinate inside real research workflows. If you want to help us reinvent the modern research workflow from the ground up, and you’re drawn by the call of unsolved problems – come work with us at Quadrillion. About the company Quadrillion Labs Be vigilant about potential scams, phishing attempts, or fraudulent activities, and seek credible sources or reviews to assess the trustworthiness of the company. Remember, your personal and financial security is paramount, and taking preventive measures is crucial to safeguarding your information from potential risks and unauthorized use. SupportFinity is not responsible for any consequences that may arise from disclosing such information to unauthorized or fraudulent entities. #J-18808-Ljbffr Q uadrillion