Research Engineer/Scientist London / Remote

The world will always be in need of more software. At agemo, we believe artificial intelligence has the potential to remove the barrier to entry to software creation. AI has changed what we create, it will also redefine how we create. This will require more than just plugging an LLM into a product.
If shaping the future of software and being at the forefront of this new technological wave sound exciting to you, come talk to us. About the Role As a member of the team, you will be given the autonomy to carry out your own project with the adequate guidance to make a meaningful impact. This is a great opportunity to witness the real impact of your work in a fast-paced environment and learn from a team of experienced researchers and engineers who have worked at big tech companies (Microsoft, TikTok, Activision…) and startups (PolyAI, Arrival…).
You might be a good fit if you
have a deep understanding of machine learning algorithms, statistical methods and optimization techniques
are proficient in programming languages used in research such as Python, and are familiar with frameworks such as PyTorch or TensorFlow
are familiar with the most recent LLM finetuning and optimization techniques
In this role, you will
bring fresh perspectives in researching and applying novel LLM optimization methods
define, set up and run experiments to increase the autonomy of our proprietary AI system
work with the research and engineering teams to productionize new findings
You would stand out if
have experience taking research prototypes to production systems
you are pursuing an advanced degree in Artificial Intelligence, Machine Learning or a closely related field
you have made contribution to open-source initiatives or the research field
Even if you don’t tick all the boxes, we’d still love to hear from you! About agemo Agemo is developing a software creation platform to build custom tools and apps with natural language. Our mission at agemo is to build an autonomous system capable of creating complex software from natural language inputs. To achieve that, we push the boundaries of the capabilities of AI systems and leverage classic engineering to build a framework that is reliable, deterministic, cost-effective and safe to deploy.
At agemo, we marry research and engineering to build novel technology with AI. We are a fun, scrappy and intense bunch with a chip on our shoulders.
We are backed by top tier VCs and angel investors from Google, DeepMind, Microsoft, founders of unicorns and public companies… Where We Work We work in a hybrid model where we meet in the office a few days a week on a flexible basis. We are currently hiring people who can physically be in London, but can also make exceptions. How We Work Beyond the collaborative, open and transparent culture we strive to foster, there are a few things we strongly value.
Speed and velocity are our unfair advantages . Moving fast and adapting does not mean delivering subpar work. Instead we focus on shipping and iterating on hypotheses as quickly as possible. Because done is better than perfect.
Teamwork and ownership define us.
We are here to do the best work of our lives at an individual level. The team is here to foster creative tension, constructive feedback and disagreement. While we all set a high bar for ourselves, we support and learn from each other by keeping one another accountable in an ego-less and respectful way.
Solving customers problems, rather than building solutions . Researchers have a propensity to obsess over the solution. We are builders and innovators. We obsess over the customer and their problem, and find novel ways to solve it.
We embody both the prepared and beginner’s minds.
Although what we have achieved so far has primed us for this moment and (for some) put us at the top of our field, we are humble to the fact that we may need to let go of some of our core beliefs and get back to becoming a student in thisrapidly evolving and uncertain field.
Necessity begets creativity.
The best ideas are born out of necessity. We are constantly trying to find ways to increase our output across every function. Not because this is something we should do, but because we have to. Most of the time, it involves eating our own dog food by creating tools with Agemo.
Taking the time to reset.
We are fully aware of the intensity a startup journey requires and strongly encourage one another to make the time to recharge.
Work on hard and meaningful problems.
You’d be working directly on shaping the future of software with AI.
Private WeWork office in brand new location in the City of London
Monthly team events, quarterly hackathons, conferences...
We are builders and hackers at heart. We want to create the environment and culture for passionate and ambitious people to learn, share and connect. This is the fertile ground where the best ideas are born from. How to Apply Send an email to ##### with your
CV
LinkedIn URL
Github repo, portfolio, website (if applicable)
Answers to the following questions (in as few/as many words as you like)
Why are you interested in joining an early stage startup?
What are the contributions you’re excited to make at agemo?
Tell us something you’re proud of. They could be in your academic, professional or personal life.
(optional) Anything else you want us to know, such as your motivation to apply or additional context for your application. Interview Process Interviews will be focused on your area of expertise but also designed to see how you stretch beyond your comfort zone.
We also evaluate for strong communication and collaboration skills, and your decision making process. The process below is indicative and subject to adjustments. We aim to get back to you with next steps within 48 hours after each round.
Introductory call
(45mins) with one of the co-founders
Skills-based assessment.
An end-to-end task which will be a reflection of what you’d work on at agemo. It is designed such that it fits within the agemo scope so that you are building something useful.
Final interviews.
Meeting with the rest of the team onsite
Decision . You should expect to hear from us within a few days after the final interview.
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