AI researcher for the development of AI acting together with actors

Acting is a time-honoured and unique art form, and today’s AI research still has a long way to go before it can match human ability. Lingotion is developing world-leading AI models in close collaboration with actors, to create digital AI representations of acting characters in an ethical and legally responsible way. The aim is to capture what is uniquely human about acting and enable real-time-generated acting in game engines, opening the door to a completely new type of interactive gaming experience.
Real-time-generated acting creates the conditions for dynamic stories in which characters can react to the player’s choices and actions, rather than being limited to pre-recorded performances.
Do you have experience designing and training custom AI models, as well as knowledge of computer architecture? We look forward to receiving your application!
About the role
Lingotion researches and develops generative AI where it is at its most exciting, by creating experiences that are impossible to make manually. Acting plays a central role in video game development, from portraying characters in large open-world role-playing games to commentators in sports games. Today, the main limitation is that players can only experience what was recorded in a studio during production. We are now making it possible to generate acting based on dynamic scripts that change depending on what happens in the game. Our focus is solely on generating the acting, while the generation of dynamic scripts is determined and driven by the game development studio.
What makes Lingotion unique is its ethical and legally secure approach to AI-generated acting. Lingotion’s proprietary foundation models are trained only on actors’ data for which agreements have been made directly with the actors. From the actors’ perspective, Lingotion acts as an agent for their digital selves when they portray a character: they receive royalties for their training data, and Lingotion protects their artistic rights. To generate acting in real time, inference must run directly inside the game engine on the device, as cloud solutions are too expensive. At the same time, real-time-critical elements such as graphics rendering must not be negatively affected. The performance requirements are extreme and place unique demands on the AI architecture. Every year, Lingotion launches a new AI model that surpasses all others in real-time AI for on-device acting.
Would you like to read more about Lingotion? Follow this link!
You will be offered
The chance to become part of something that no one else in the world has achieved, and to work for a company that constantly strives to be at the forefront.
An attractive benefits package that includes, among other things, a wellness allowance (friskvårdsbidrag) and the opportunity to participate in the company’s share option programme
The chance to be part of a small, independent team in a hybrid workplace where you are constantly developing and taking on significant responsibility

Responsibilities
Lingotion is a small startup in Lund with seven people, where you will work closely with both the current developers and the founder. The focus is on the entire AI production pipeline, from data collection and model design to training and integration into game engines and gaming platforms.
The work covers all parts of the development and production process: Lingotion collects its own training data from actors, researches entirely new AI architectures, trains the models and integrates them into game engines while preserving real-time performance for graphics rendering.
Lingotion’s AI research and development is already far ahead of both publicly known research and other commercial players in the field.
We are looking for someone who
Is a senior AI researcher with thorough knowledge of systems and computer architecture. Seniority is primarily required in coding and debugging, since AI is a relatively new and rapidly developing field. At the same time, experience developing, experimenting with and applying custom AI models is required, either in commercial projects or on your own initiative.
Has a proven track record of solving complex technical problems
Has an in-depth understanding of system architecture and real-time systems
Has extensive experience in performance optimisation and multithreaded/parallel programming
Has studied mathematics at university level, for example as part of an MSc in Engineering or through standalone mathematics courses
Has at least two years of practical experience in AI development, during which you have built or modified your own models (fine-tuning models or using AI services via APIs does not count)
Has extensive and broad programming experience, acquired through professional work and/or personal projects

To succeed in this role, you need to be driven by an almost obsessive passion for solving complex problems. You do not give up on a problem until it is solved, even if that requires working outside office hours to follow a lead or run an AI training session. Your strengths are your technical integrity and humility. You have a realistic view of complexity, constantly question your own solutions, and let your actual delivery define your competence. You naturally become the person others turn to with the most difficult coding problems.
As a person, you are:
Goal-oriented
Organised
Responsible
Intellectually curious

Our recruitment process
This recruitment process is managed by Academic Work, and our client requests that all questions about the role be sent to Academic Work.
We review applications on an ongoing basis and will take down the advert once enough candidates have reached the final stage of the recruitment process. Applicants are asked to submit a CV. We do not use cover letters as a selection method, so there is no need to attach one. The recruitment process includes two selection tests: a personality test and a cognitive ability test. The tests are tools to help identify the candidate with the greatest potential for the role and to promote equality, diversity and a fair recruitment process.