I am starting a research lab funded by a hedge fund that I created 5 years ago. The hedge is doing well, and applies ML to quant finance. The research and trading activities should reinforce each other over time: the research publishes research and fosters in-house ML expertise. The trading applies it to quant finance and brings funding. The research entity is incorporated, funded, has an office and 0 employees currently.
My vision for the research lab is the following:
- A bunch of phds in a room: create a good working environment, optimize for research output & runway. - Take the "bitter lesson" seriously: most of the successes in modern machine learning are due to deep learning and the ability to leverage vasts amounts of compute and data. So we make it a top priority to develop the infrastructure and expertise to be good at DL/LLMs/transformers. It doesn't mean that we don't explore new ideas. We want to learn to leverage large amounts of compute and be smart/efficient about it. If the trading works well, we can compete on an equal footing with the big labs over time in terms of amount spent in compute.For the research itself, I want to start with the ARC challenge (https://arcprize.org/, https://arxiv.org/abs/1911.01547)
With that in mind, today I'm looking for the following role:
- ML research engineer Compensation will include flexible options scheme based on results.Interest and knowhow in the following is a plus: Deep learning, transformer models, reasoning, world models, learning-to-learn, mechinterp, bayesian methods, probabilistic programming I'm also looking for evidence of past exceptional achievements.
I will mostly consider candidates having an EU passport for visa reasons.
To apply, email me at not_a_cat at fastmail dot com.
Role requirements: - degree in computer science, electrical engineering, statistics, mathematics, physics, engineering, or relevant experience; - a minimum of 2 years of industry experience in fullstack development; - experience with one of the modern javascript frontend frameworks and an understanding of core concepts, such as “component boundaries”, “state management”, and some experience with data visualization; - good knowledge of JavaScript/TypeScript and knowledge of state-of-the-art frameworks like React; - ideally, experience with microservice architectures and working with typed API’s (GraphQL, tRPC, OpenAPI) and developing and shipping SaaS web applications with well-abstracted components and composability; - motivation to constantly and consistently learn new skills, make quick decisions, and prioritize on what moves the needle; - a team player approach thriving in a dynamic startup environment; - motivation to work in a climate tech company. More information here: https://exnaton-ag.jobs.personio.com/job/1661344?language=en...
We are a fast-growing AI startup with the goal of revolutionizing the manufacturing industry. We recently achieved a series A led by Index Ventures. Our software products are used by Fortune 500 companies and industry leaders across Europe and the US, such as Siemens, Lindt and Roche.
We're after a Senior DevOps/Cloud/Infrastructure Engineer to take ownership of our software infrastructure and deployments. This position is ideal for a mid-career professional who is enthusiastic about complex software products, eager to grow their impact, and driven to build leadership skills in the trenches.
https://ethonai.recruitee.com/o/senior-devsecops-engineer
Buzzwords: AWS, Kubernetes, Docker, Terraform, Ansible, Postgres, Python, Timescale, CI/CD
(Please note: We typically don't sponsor visas except in exceptional circumstances)