Machine Learning Engineer / ML Engineer - Roleplay Sessions

Jobgether

Deutschland

Hybrid

EUR 108.000 - 132.000

Vollzeit

Vor 6 Tagen
Sei unter den ersten Bewerbenden
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Benefits dieser Stelle

RSUs
Full-time
Employer of Record
Remote work options in Europe
25 days leave

Zusammenfassung

Partner company in Germany is seeking a senior ML Engineer to build AI engines for interactive roleplay experiences. You will craft machine learning systems that understand learner responses, evaluate performance, and provide real-time coaching feedback, guiding dynamic AI interactions.

This role blends applied ML with product-focused software engineering in a high-scale environment. Responsibilities include designing scalable models, interpreting learner inputs, and delivering measurable

Qualifikationen

  • 7+ years of professional software engineering experience, including at least two years at a senior level.
  • Strong practical knowledge of machine learning and applying ML to real-world product challenges.
  • Experience in a high-performing engineering organization at scale.

Aufgaben

  • Build and improve ML models powering interactive roleplay and coaching experiences.
  • Develop systems that listen to and interpret learner responses during roleplay sessions and assess performance.
  • Create real-time feedback that guides learners on communication and performance.
  • Develop AI-driven decision-making to control virtual avatar responses based on learner behavior.
  • Apply ML to solve practical product challenges and translate capabilities into product experiences.
  • Work as a product-focused engineer balancing ML development with broader software engineering tasks.

Kenntnisse

Software engineering
Machine learning
Senior level
Product-focused
Collaboration

Jobbeschreibung

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Machine Learning Engineer / ML Engineer - Roleplay Sessions based in Germany.

This role focuses on building the AI engine behind interactive roleplay experiences that help people practice real-world conversations with AI avatars.
You will develop machine learning systems that understand learner responses, evaluate performance, generate real-time coaching feedback, and guide dynamic AI interactions.
The position combines applied machine learning with strong product-oriented software engineering, with a focus on solving practical user and business problems.
You will work on products designed around active learning and measurable skill development rather than passive content consumption.
The role offers the opportunity to contribute to sophisticated AI products within a high-performing engineering environment operating at significant scale.
You will be expected to move quickly, iterate pragmatically, and translate ML capabilities into reliable product experiences.
This is a hands-on opportunity for an experienced engineer who wants to have a direct impact on the development of next-generation AI-powered learning tools.

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.
Benefits:
  • 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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