Undisclosed Trading firm | SRE, SWE | Full-time | Onsite | Remote | 100k-200k CHF

Software Engineer / Site Reliability Engineer (SRE) - Infrastructure

Responsibilities:

• Develop and maintain exchange connectivity and internal trading software. • Work with C++, TypeScript, and Python within an AWS environment.

Qualifications:

• Strong technical skills in C++, TypeScript, Python, and AWS. • Interest in trading, quantitative finance, and/or machine learning is a significant advantage.

Compensation:

• Competitive salary ranging from 100k-200k CHF. • Bonus scheme with 30% of profits after costs. • Opportunities to reinvest bonuses in the fund and equity options.

We seek only highly qualified candidates with a strong background and interest in this field.

How to Apply: tfcodingcat at proton.me

Unnamed AI research lab | ML research engineer | Zurich, Switzerland | Full-time | Onsite | 100-200k CHF

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.

Tufa.ai | SRE, SWE, operations manager | Zug, Switzerland | Full-time | Onsite | EU much preferred | 130k-260k CHF

5 years ago, I started a side project to apply ML to crypto trading to finance my own AI research. It has now evolved into a hedge fund with 10 people, 100M+ AUM (mostly prop capital) where we apply ML techniques to trade both crypto and US equities markets.

In addition to creating a sister entity to do fundamental AI research, we want to grow the quant team a bit more. We are looking for the following roles:

- SWE+SRE for infrastructure: exchange connectivity & internal trading software | C++, typescript, some python, AWS

- SWE+quant | Python, PyTorch

- Operations manager | Experience with prop or hedge funds, working with lawyers & accountants, reporting, working with brokers/exchanges in both traditional finance and crypto. Familiarity with scripting and automating processes is a plus.

Our compensation package usually includes the ability to re-invest bonuses in the fund, a bonus scheme (using 30% of profits after costs), and some options.

For all roles, we will hire opportunistically and only consider very strong candidates. Interest for trading/quant finance and/or ML is a big plus.

To apply, email me at not_a_cat at fastmail dot com.

Lead Fullstack Engineer | Literal Labs | REMOTE (UK, EU) or ONSITE (London, Newcastle) | Full-time | https://www.literal-labs.ai/

We all have a sense that AI has the potential to change the world for the better; to push humanity forward. To fulfil its potential, artificial intelligence must run at the edge wherever it is needed, and not be dependent on cloud connectivity. To meet society's needs, AI has to be explainable, it has to be fast, and it has to be economically and energy efficient. Literal Labs is working to make that happen.

At Literal Labs, we are pioneers in the AI sector, dedicated to transforming the landscape of technology through innovative AI solutions. With a foundation deeply rooted in engineering and scientific excellence, we strive to create impactful tools and applications that redefine the interaction between humans and technology. Our commitment to high-quality work, employee development, and a collaborative culture makes us a beacon for those who aspire to shape the future of AI.

As the Product Engineering Pod Lead, you will be at the forefront of architecting and developing web applications and cloud solutions that integrate our groundbreaking Tsetlin Machine technology.

This role is pivotal in turning sophisticated AI capabilities into accessible, user-friendly products that will revolutionise how our customers interact with AI. You will collaborate directly with the CTO and other pod leaders to ensure our technological solutions are robust, scalable, and aligned with Literal Labs’ strategic goals.

Please note: We are looking for a generalist in this role, an experienced set of hands that has overseen the complete lifecycle of web applications in previous experiences, and has solved the plethora of issues that arise along the way.

What We Offer; a place for ambitious people, a dynamic role in a rapidly growing company at the cutting edge of AI technology; a company for personal development: Opportunities for professional growth through our culture, conferences, training, and courses, with resources available from our partnership with Newcastle University; no politics, no red-tape, but instead an exciting space: A collaborative, innovative, and fun work environment (because it should be) where your voice is valued, we pull together, and your contributions define the future of the company; benefits include early stage equity, pension scheme and an unlimited holiday scheme.

Please reach out to me (leon at literal-labs.ai) with the subject "HN" for more information, or see our LinkedIn JD: https://www.linkedin.com/jobs/view/3942949387

Thanks!