Machine Learning Engineer / ML Engineer - Roleplay Sessions

Jobgether; France; Sur place; EUR 108 000 - 132 000; Plein temps

Avantages offerts par ce poste

Employer of Record

Remote/Europe opportunities

25 days annual leave

Full-time employment

Generative AI projects

Résumé du poste

Jobgether in France seeks an experienced engineer to build the AI engine behind interactive roleplay experiences. You will develop systems that listen to learner responses, evaluate performance, and generate real-time coaching feedback, guiding dynamic AI interactions in a product-focused environment.

You will translate ML capabilities into reliable product experiences, work in a high-performing engineering team, and contribute to sophisticated AI tools at scale with pragmatic, fast execution

Qualifications

• Seven+ years of professional software engineering experience including two+ years at senior level.
• Strong practical knowledge of machine learning applied to real-world product challenges.
• Experience in large scale engineering organizations with strong engineering culture.
• Strong product and commercial orientation and ability to tie technical decisions to business outcomes.
• Software development skills with product-focused engineering across various product work.
• Pragmatic, action-oriented, iterative, and data-driven approach.
• Excellent collaboration and communication in fast-moving, multidisciplinary teams.
• Demonstrated ownership and delivery of meaningful outcomes with autonomy.

Responsabilités

• Build and improve ML models powering interactive AI roleplay and coaching experiences.
• Develop systems to listen to and interpret learner responses and assess performance.
• Create real-time feedback enabling actionable guidance on communication and performance.
• Develop AI-driven decision systems for avatar responses based on context.
• Apply ML to solve practical product challenges and translate capabilities into user experiences.
• Contribute to product initiatives balancing ML development with broader software engineering.
• Collaborate within a high-performing team to design, build, test, and iterate scalable product solutions.
• Prioritize rapid experimentation and measurable commercial and product outcomes.

Connaissances

Software engineering

Machine learning

Product focus

Autonomy

Collaboration

Description du poste

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.