Machine Learning Engineer / ML Engineer - Roleplay Sessions

Accountabilities

• Build and improve machine learning models that power interactive AI roleplay and coaching experiences.


• Develop systems that can listen to and interpret learner responses during roleplay sessions and assess their performance.


• Create real-time feedback capabilities that provide learners with useful, actionable guidance on their communication and performance.


• Develop AI-driven decision-making systems that determine how virtual avatars should respond based on learner behavior and conversation context.


• Apply machine learning expertise to solve practical product challenges and translate technical capabilities into valuable user experiences.


• Contribute to different product initiatives as a product-focused software engineer, balancing ML development with broader software engineering responsibilities.


• Work collaboratively within a high-performing engineering team to design, build, test, and iterate on scalable product solutions.


• Prioritize pragmatic execution, rapid experimentation, and measurable commercial and product outcomes.

Requirements

• At least seven years of professional software engineering experience, including at least two years working at a senior level.


• Strong practical knowledge of machine learning and the ability to apply ML concepts to real-world product challenges rather than focusing primarily on academic research.


• Demonstrated experience working within a high-performing engineering organization operating at scale, whether in a scale-up or an established company with a strong engineering culture.


• Strong product and commercial orientation, with an understanding of how technical decisions and product improvements contribute to business success.


• Strong software development skills and the ability to operate as a product-focused engineer across different types of product work.


• A pragmatic, action-oriented approach with a willingness to iterate quickly, experiment, and adapt solutions based on results.


• Strong collaboration and communication skills, with the ability to work effectively in a fast-moving, multidisciplinary engineering environment.


• A demonstrated ability to take ownership, solve complex problems, and deliver meaningful outcomes with a high degree of autonomy.

• The salary starts at €120,000 / £120,000 / CHF 120,000 base, plus RSUs.


• The role is full-time employment, with no contractor arrangements available.


• Employment can be provided through the organization's own entities or an Employer of Record arrangement.


• The preferred locations for the role include the UK, Germany, Switzerland, or Ireland, with remote opportunities potentially available elsewhere in Europe subject to compliance and right-to-work requirements.


• Employees receive 25 days of annual leave in addition to local public holidays.


• The role provides the opportunity to work with proprietary generative AI technology alongside experienced AI researchers and engineers.


• The position offers exposure to a high-performing engineering culture focused on rapid execution, product impact, and responsible AI development.

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