London, Newcastle and North UK | Remote (UK) with occasional travel | Full-time | https://www.literal-labs.ai
Hi are you based in the UK? We are looking for Junior, Mid to Senior Full Stack Engineers.
This is Leon, the CTO at Literal Labs. At Literal Labs, we build state of the art Machine Learning algorithms for the Edge and other targets that go brrr, and are looking for talented engineers to help us build web training tools to put these models in the hands of users.
Our mission is to create models that have a light touch on the environment, and that work for all.
This role is remote, though the right to work for a UK-registered company is required. Read here for more about how we work:
I work at Literal Labs and I can confirm as of a few minutes ago, we are pivoting to powering our TinyML models by this exciting and delicious new technology!
The roles aren't up on our careers site yet; email leon@literal-labs.ai with the subject HN, with a CV/ask for more info, confirm right to work in the UK, and the role you are interested in.
Thank you!
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Literal Labs will offer you:
1. Impact: Opportunity to join an exciting deep tech startup that is challenging conventional thinking in Edge AI and TinyML.
2. Career progression: We are a small company, you can shape the role depending on your strengths and ambitions (I promise to help you as much as I can here).
3. Friendly, knowledgeable teammates: Our experienced team enjoys sharing knowledge. We document our work, hold literature reviews and show and tells.
4. Flexibility: We are a remote team and this provides you with genuine flexibility over where and how you work.
5. Unlimited Holiday: Beyond the UK minimum (25 days + 8 bank holidays), we offer the option to take additional paid holiday within reason.
6. Equity: All perm employees will receive meaningful share options in the company.
7. Pension: Literal Labs will contribute 5% of qualifying earnings to your pension.
In general, I'm determined to make Literal Labs a really positive experience for everyone working with us.
London, Newcastle and North UK | Remote (UK) with occasional travel | Full-time | https://www.literal-labs.ai
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Hey this is Leon, the CTO at Literal Labs. At Literal Labs, we build state of the art Machine Learning algorithms for the Edge and other targets that go brrr.
We are looking for a Mid-Senior Frontend Dev. If I'm being honest, it would be great to find someone that really cares about the aesthetics, and design, so the user has a great experience. Because we are a start up, it would also help if you are happy to do the odd bit of CI or backend work - but read more here:
1. Impact: An opportunity to join an exciting deep tech startup that will challenge conventional thinking in Edge AI and TinyML.
2. Career progression: We are a small company so you will have an opportunity to shape the role depending on your strengths and ambitions (I promise to help you as much as I can here).
3. Friendly, knowledgeable teammates: Our team is experienced and enjoys sharing knowledge. We document our work, hold literature reviews and casual show and tells to help each other grow professionally.
4. Flexibility: We are a remote team and this provides you with genuine flexibility over where and how you work in collaboration with our team.
5. Unlimited Holiday: Beyond the UK minimum (20 days + 8 bank holidays), we offer the option to take additional paid holiday within reason and mutually convenient.
6. Equity: All permanent employees will receive meaningful share options in the company; we are currently in the process of implementing the option pool.
7. Pension: Literal Labs will contribute 5% of qualifying earnings to your pension.
In general, I'm determined to make Literal Labs a really positive experience for everyone working with us.
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Will you join us?
Please either apply directly at the link above, reach out to me (leon at literal-labs.ai) with the subject "HN" for more information. Whichever process you follow, let me know if you are a HN buddy :)
P.S: Just to note - we are informally looking for the following, please reach out if you'd like to explore a role with us that's not advertised!
- Embedded Engineers with expertise in constrained computing environments.
- Research Scientists interested in advancing fundamental AI research, focusing on interpretable AI, discrete mathematics, and neural-symbolic techniques.
- Research Engineers interested in applying ML techniques to novel problems.
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.
Hey all, just wanted to share our progress on implementing a poker AI using Counter Factual Regret (CFR). There is definitely more work to be done, but we've been working hard over the past few years and have been making strides to improve the AI optimisation and adding ways to play against it.
Unfortunately I downloaded resources, waited, and the server was full. After repeating for 3/4 times I gave up, so maybe a little more work needed there to cache and/or manage servers a little better for the end-user.
Hey dexed is awesome! I was the coauthor for [2], it for was my 3rd year undergraduate dissertation. A lot of the work went into creating a Python VST host capable of generating huge datasets of random patches.
I'm looking at some of the fancy new ML tricks that have come out since that paper was wrote and have been thinking there would be significant improvements over the LSTM we used.
working on a AI for poker - we've trained some agents on a 20 card deck version of hold'em poker and they're not bad at all, now working on scaling it up to the full 52 card deck no limit hold'em
https://github.com/fedden/poker_ai
Hi are you based in the UK? We are looking for Junior, Mid to Senior Full Stack Engineers.
This is Leon, the CTO at Literal Labs. At Literal Labs, we build state of the art Machine Learning algorithms for the Edge and other targets that go brrr, and are looking for talented engineers to help us build web training tools to put these models in the hands of users.
Our mission is to create models that have a light touch on the environment, and that work for all.
This role is remote, though the right to work for a UK-registered company is required. Read here for more about how we work:
https://www.literal-labs.ai/careers/
And here more generally about some of the the company's technologies:
https://www.literal-labs.ai/tsetlin-machines/
But we are building out other techniques too!
Please email jack@literal-labs.ai with the subject HN, and please cc me in too (leon@literal-labs.ai). Thanks!