Research Engineer, Core Intelligence Member of Technical Staff London / Remote

About the Role

As a Research Engineer in the Core Intelligence team, you will actively contribute to the development of our autonomous system by contributing to the design and implementation of the system architecture, data curation, training and inference infrastructures, evaluation pipelines and alignment. You will operate at the cutting edge of AI, where there often isn’t any published research available, and be given the autonomy to explore novel methods.

You have a track record of excellence in your field and a desire to learn and perfect your craft. This is a real opportunity to witness the impact of your work without bureaucratic constraints.

You might be a good fit if you:

• enjoy wearing multiple hats, are results-oriented and can operate with loosely defined priorities
• have strong foundations in Machine Learning, Statistics and/or Computer Science that allows you to think from first principles
• are well-versed with the state of the art in AI and passionate about its future potential
• want to partner with world-class engineering and researchers to develop new autonomous capabilities

In this role, you will:

• research, design and implement experiments for finetuning and reinforcement learning on our autonomous system
• participate in the curation of datasets
• collaborate with the engineering team to productionize new iterations of the system
• drive the team’s research roadmap in collaboration with the rest of the technical staff

Where We Work

We work in a hybrid model where we meet in the office twice a week. We are currently hiring people who can physically be in London, but can make exceptions. Our office is in the City of London.

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 problems, rather than building solutions. Idealists have a propensity to obsess over the solution. We are builders and innovators. We obsess over the problem, and find novel ways to solve it.
• Necessity begets creativity. The best ideas are born out of necessity. We constantly try to find ways to drive results with significantly fewer resources. Not only because we should, but because we have to.
• Work on hard and meaningful problems. You’d be working directly on shaping the future of software with AI with a world-class team.
• Competitive base salary and meaningful equity. We want to make sure you have skin in the game.
• Private WeWork office in brand new location in the City of London
• Unlimited holidays. Ability to work remotely for a set period of time each quarter as well.
• Equipment of your choice + WFH stipend. We have our own (physical) GPUs to run experiments with.
• Monthly team events, hackathons, conferences... We are builders and hackers at heart. We are creating 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 hello@agemo.ai with your

• CV
• LinkedIn URL
• Github repo or website (if applicable)
• Answers to the following questions (in as few/as many words as you like)
• Why are you interested in joining?
• What are one personal and one professional/academic you are most proud of?
• (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.

• Introductory call (45mins) with one co-founder
• Technical call (45mins) with a member of the team
• Take-home task. A research task with a clear objective which will be a reflection of what you’d work on at agemo.
• On-site interviews. After we assess your take-home task, you will be invited to present it to the team on site; this will be an opportunity to meet the team in person as well. There will be a final culture fit interview with a member of the team.
• Decision. You should expect to hear from us within a few days after the final interview with an offer or clear feedback.