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- Tasks: Join us to tackle cutting-edge AI challenges and develop innovative solutions.
- Company: Improbable creates groundbreaking technology for gaming and web3, shaping virtual worlds.
- Benefits: Enjoy flexible work options, including remote, hybrid, or in-office arrangements.
- Why this job: Be part of a diverse team driving real-world AI applications with a focus on innovation.
- Qualifications: Experience with generative AI models and data engineering practices is essential.
- Other info: We value diverse backgrounds and encourage all to apply, even if you don't meet every requirement.
The predicted salary is between 48000 - 84000 £ per year.
At Improbable, we’ve been venturing into unexplored territory for over a decade, seeking new ways to connect people and amplify their lives. We’re shaping virtual worlds of unprecedented scale for the gaming, web3, and related sectors, creating world-changing technology from Morpheus to M2. With us, you’ll tackle questions that no one else is asking and find answers that define the future.
We are growing an engineering team which specialises in deep technical problem spaces, from high performance computing to the application of AI. We work on a wide variety of projects for a range of businesses. Recent examples include Somnia, the world’s highest throughput EVM-based L1 blockchain, and work on Morpheus and related virtual events technology. A key project area for the team is applied AI: capitalising on the power of the recent innovations in the AI space, and bridging the gap between the new models and real solutions.
Your Opportunity:
- Work directly with modern cutting edge AI technology to solve real customer problems.
- Develop infrastructure and pipelines that support the scaling and efficiency of AI powered systems.
- Optimise the use of AI models, balancing accuracy, speed, and efficiency.
- Stay abreast of the latest developments in the AI space.
Why You’re Made For This:
- Direct experience building applications and integrations with modern generative AI models (e.g. LLMs).
- Understanding of data engineering practices and proficiency in handling data pipelines for advanced AI applications.
- A broad and up to date understanding of the tradeoffs, capabilities and limitations of different available models.
- Professional software engineering experience.
- Ability to drive an outcome and unblock yourself and those around you with high productivity.
- Ability to work independently and in a team environment.
- Strong verbal and written communication skills.
This role is available as remote, hybrid or in-office. We have a great office space in Spitalfields in London but are equally happy if you’d prefer to work from home some, or all of the time. We are 'Flexa' certified, meaning our entire employee experience is anchored around flexibility and autonomy.
We are keen to hear from people that believe they have valuable experience to bring to the role. If you identify with the team and mission, but not all of our requirements, then please still apply.
About Us
Improbable is determined to foster an environment where people can do their best work and feel like they belong. We believe a healthy culture, strong values and contribution from a diverse range of individuals will help us to achieve success. We do not discriminate based on race, ethnicity, gender, ancestry, national origin, religion, sex, sexual orientation, gender identity, age disability, veteran status, genetic information, marital status or any other legally protected status.
If you require any reasonable adjustments as part of your application process or would like to confidentially discuss the matter, then please do let us know in the Additional Information section of your application.
Senior Applied AI Engineer employer: Improbable Ltd.
Contact Detail:
Improbable Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied AI Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI technology, especially generative models like LLMs. Being able to discuss recent innovations and their applications during your interview will demonstrate your passion and expertise in the field.
✨Tip Number 2
Showcase your problem-solving skills by preparing examples of how you've tackled complex technical challenges in previous roles. This will highlight your ability to drive outcomes and unblock yourself and others, which is crucial for the Senior Applied AI Engineer position.
✨Tip Number 3
Network with current or former employees of Improbable on platforms like LinkedIn. Engaging with them can provide you with insights into the company culture and the specific challenges they face, which can be invaluable during your application process.
✨Tip Number 4
Prepare to discuss your experience with data engineering practices and handling data pipelines. Being able to articulate your understanding of these concepts will set you apart, as they are essential for optimising AI models effectively.
We think you need these skills to ace Senior Applied AI Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Applied AI Engineer position. Tailor your application to highlight your relevant experience with generative AI models and data engineering practices.
Craft a Tailored CV: Your CV should reflect your professional software engineering experience and any direct work with AI technologies. Emphasise your ability to optimise AI models and your understanding of their trade-offs, capabilities, and limitations.
Write a Compelling Cover Letter: In your cover letter, express your passion for AI and how your skills align with Improbable's mission. Mention specific projects or experiences that demonstrate your ability to tackle complex problems and drive outcomes.
Highlight Communication Skills: Since strong verbal and written communication skills are essential for this role, ensure your application reflects your ability to communicate complex ideas clearly. Use concise language and structure your application well to showcase this skill.
How to prepare for a job interview at Improbable Ltd.
✨Showcase Your AI Expertise
Be prepared to discuss your direct experience with generative AI models, particularly LLMs. Highlight specific projects where you've applied these technologies to solve real-world problems, demonstrating your understanding of their capabilities and limitations.
✨Demonstrate Problem-Solving Skills
Improbable values engineers who can tackle complex challenges. Prepare examples of how you've approached difficult technical problems in the past, focusing on your thought process and the outcomes you achieved.
✨Communicate Clearly
Strong verbal and written communication skills are essential for this role. Practice explaining complex AI concepts in simple terms, as you may need to convey your ideas to non-technical stakeholders during the interview.
✨Emphasise Flexibility and Teamwork
Since the role allows for remote, hybrid, or in-office work, be ready to discuss how you adapt to different working environments. Share experiences that highlight your ability to work independently while also being a collaborative team player.
