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AI Research Engineer

At Gradient Labs, we’re on a mission to make exceptional customer service the norm.

Founded in 2023 by a team of technical leaders from Monzo Bank, we’ve quickly gone from an idea to a growing team with customers you know (and probably love). Our AI agent helps businesses handle even the trickiest, high-stakes customer support queries safely and effectively, all while giving them the visibility and control they need to trust the outcomes.

We’re a remote-first team but love getting together in London once a week to collaborate, catch up, and have occasionally been known to become overly competitive during socials (think arcade games or axe throwing 🎯).

If you’re excited to tackle some of the hardest problems in AI and help shape the future of customer service, we’d love to hear from you.

🔭  As an AI Research Engineer at Gradient Labs, you will…

As an AI Research Engineer at Gradient Labs, you would spend your time doing:

  1. Research & prototyping: you’d keep abreast of the latest NLP and generative AI research and developments in both open-source and proprietary LLMs. You will prototype and experiment with the newest research findings to identify opportunities to enhance our platform with the latest state-of-the-art.

  2. Optimisation: you would develop, evaluate, and optimise the prompts and models that underlie our agents’ skills and chains. This includes contributing to defining and building the evaluation methodologies we’ll need — from preparing & curating datasets through to shipping successful approaches into our platform.

  3. Data analysis: you would analyse datasets of customer queries, support tickets, and related information to gain insights into patterns and discover areas that our agents could further automate.

🌟 We’re looking for people who are..

  • Excited to push the boundaries of what’s possible for autonomous agents that imitate human behaviour

  • Motivated to operate in a fast-pace environment, rather than longer research cycles

  • Can quickly summarise, replicate, and test ideas from research papers

  • Driven more by making an impact on the products they’re helping to build than academic research outcomes

  • Can persevere: many ideas you will experiment with will be ambiguous and might fail, a successful person in this role will find the strength to keep trying

  • Comfortable building with LLMs and have experience shipping LLM products to production (ideally have experience using Go)

❓Questions

What is the salary?

The final compensation will depend on the relevant skills and experience of the candidate but generally we pay within top 5% of comparable roles at seed stage startups.

Where is this role based?

Ideally, we're looking for someone who can come into the London office (close to Liverpool Street Station) at least once a week. However, we're open to remote work across the UK if you're able to join the team in person in London once a quarter.

What You Should Know About AI Research Engineer, Gradient Labs

At Gradient Labs, we're pioneering the future of customer service with the exciting role of an AI Research Engineer. Located in the vibrant city of London, we are a remote-first team that comes together weekly for collaboration and some friendly competition, whether it’s in the office or over arcade games. As an AI Research Engineer, you'll dive into the world of cutting-edge NLP and generative AI research, prototyping and experimenting with the latest findings to enhance our AI agent's capabilities. You’ll evaluate and optimize the underlying models that power our technology, crafting methodologies for assessments that will drive our product forward. You'll also analyze real-world customer interactions to uncover insights, optimization opportunities, and areas ripe for automation. We're looking for enthusiastic individuals eager to push boundaries, thrive in a fast-paced environment, and find fulfillment in shaping impactful products. If you're comfortable working with LLMs and have experience in bringing AI products to production, we want to hear from you and how you can contribute to making exceptional customer service the norm!

Frequently Asked Questions (FAQs) for AI Research Engineer Role at Gradient Labs
What are the responsibilities of an AI Research Engineer at Gradient Labs?

An AI Research Engineer at Gradient Labs is tasked with researching and prototyping advancements in NLP and generative AI to enhance our platform. You'll evaluate and optimize models and prompts used by our AI agents, while also developing methodologies for assessing our efforts. Moreover, a significant portion of your role involves analyzing datasets to discover areas for further automation in customer support.

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What qualifications are required for the AI Research Engineer position at Gradient Labs?

Candidates for the AI Research Engineer role at Gradient Labs should possess a strong background in working with large language models (LLMs) and have experience shipping AI products to production, preferably using Go. We're seeking individuals who thrive in fast-paced environments, can quickly iterate on ideas from research, and are motivated by the impact of their work rather than solely academic outcomes.

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What is the team culture like at Gradient Labs for the AI Research Engineer?

The culture at Gradient Labs is collaborative and dynamic, with a remote-first approach that emphasizes teamwork. We value regular in-person interactions, meeting weekly in London for brainstorming sessions and social events that foster team bonding — be prepared for a little friendly rivalry during our meet-ups! We’re passionate about innovation and are committed to making customer service exceptional.

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Is remote work possible for the AI Research Engineer role at Gradient Labs?

Yes, remote work is welcomed for the AI Research Engineer position at Gradient Labs. While we encourage candidates to visit our London office at least once a week, we’re flexible and open to professionals working remotely within the UK. However, attendance for quarterly team gatherings in London is expected, creating a balanced hybrid work model.

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What is the salary range for the AI Research Engineer position at Gradient Labs?

The salary for the AI Research Engineer role at Gradient Labs is competitive, falling within the top 5% for comparable roles at seed-stage startups. Actual compensation will depend on the candidate's skills and experience, ensuring that we reward our team members appropriately for their contributions to our innovative work.

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Common Interview Questions for AI Research Engineer
What motivates you to work as an AI Research Engineer?

When answering this question, showcase your passion for AI and how it drives you to tackle complex problems. Mention aspects such as the excitement of contributing to advancements in customer service technology and the satisfaction of making a tangible impact through your work.

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Can you explain your experience with NLP and generative AI?

Provide specific examples from your previous work demonstrating your understanding and application of NLP and generative AI technologies. Discuss any notable projects you've contributed to, the challenges faced, and the solutions you implemented.

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How do you approach the optimization of AI models?

Explain your systematic approach to model optimization, focusing on methodologies you use to evaluate and refine AI systems. Highlight the importance of data analysis, adjusting parameters, and learning from experimental results.

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Describe a project where you successfully shipped an AI product to production.

Share a detailed overview of the project, your role, the technologies used, and the steps taken from concept to deployment. Emphasize collaboration with other teams and challenges faced during the process, and reflect on the outcomes achieved.

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How do you stay current with AI and machine learning trends?

Discuss your commitment to continuous learning and keeping up-to-date with industry advancements. Mention specific resources such as research papers, online courses, conferences, or communities where you've engaged with thought leaders in the AI field.

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What methods do you use for analyzing data sets?

Illustrate your approach to data analysis, including techniques used for cleaning, processing, and visualizing data. Describe any tools or frameworks you prefer and how you draw actionable insights to inform future AI developments.

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What challenges have you encountered in AI research, and how did you overcome them?

Reflect on specific challenges related to ambiguity or failed experiments in AI research. Highlight your resilience and problem-solving strategies, showing how you iterated on ideas and learned from setbacks to achieve success.

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How do you balance research and development in a fast-paced environment?

Talk about your time management strategies and prioritization skills when juggling research responsibilities alongside development. Highlight your ability to remain agile and adapt to project needs without compromising on quality.

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How can AI enhance customer service roles?

Answer by discussing the transformative impact AI can have on automating responses, improving efficiency, and providing personalized customer interactions. Emphasize the balance between technology and the human touch in customer service.

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Why do you want to join Gradient Labs as an AI Research Engineer?

Communicate your enthusiasm for the unique mission of Gradient Labs and how it resonates with your professional goals. Mention the exciting challenges you anticipate, your desire to contribute to innovation, and your alignment with the company culture.

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EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
March 12, 2025

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