Machine Learning Engineer

TripleTen; Remote; EUR 100.000 - 125.000; Vollzeit

Zusammenfassung

An innovative ed-tech company in Berlin seeks an experienced ML engineer to develop an AI-powered platform for personalized learning experiences. You will define AI and machine learning directions, taking ownership of key decisions, and contribute to the platform's evolution through data-driven personalization. Strong expertise in machine learning, generative AI, and prototyping is essential. This role offers fully remote work with a dynamic global team.

Leistungen

Fully remote work

Professional freedom

Dynamic global team

Qualifikationen

• Experience training and evaluating different model types for real-world problems.
• Strong understanding of statistics and ML performance metrics.
• Experience building LLM-based applications with retrieval or vector databases.
• Track record of bringing ML solutions into stable production.

Aufgaben

• Build an AI-powered platform for personalized learning journeys.
• Define AI and ML development direction and ownership of architectural decisions.
• Contribute to shaping content through data-driven personalization.
• Prototype ideas quickly and transform experiments into production systems.

Kenntnisse

Machine Learning

Prototyping

Statistics

Generative AI

MLOps

Tools

MLflow

Jobbeschreibung

Were building an AI Tutor a personalized learning system that leverages machine learning to adapt educational content and learning paths for each student.

Were looking for an ML engineer who enjoys fast experimentation and prototyping but also has proven experience delivering end-to-end production solutions with measurable impact. Youll join a cross-functional team of experienced backend and frontend engineers AI developers and UX / UI specialists to create a truly new kind of learning experience.

What you will do :

• Build AI-powered platform that personalize the educational journey for thousands of TripleTen students across the US and Latin America.
• Define the direction of AI and ML development in a new product taking ownership of key architectural and technical decisions.
• Contribute to the content and evolution of the platform itself shaping what and how students learn through data-driven personalization.
• Prototype quickly validate ideas and transform successful experiments into reliable production systems.

What we can offer you :

• Fully remote and full-time collaboration with professional freedom and minimal micromanagement;
• Dynamic Team : Join a diverse global team with experience across tech ed-tech and various industries;
• We use digital tools like Miro Notion and Google Workspace for seamless collaboration;
• At this time we are unable to offer H-1B L-1A / B sponsorship opportunities.
• This job description is not designed to contain a comprehensive listing of activities duties or responsibilities that are required. Nothing in this job description restricts managements right to assign or reassign duties and responsibilities at any time.
• TripleTen is an equal employment opportunity / affirmative action employer and considers qualified applicants for employment without regard to race color religion sex national origin age religion disability marital status sexual orientation gender identity / expression protected military / veteran status or any other legally protected factor.

Requirements :

• Broad ML expertise . Experience training and evaluating different model types to solve real problems such as recommendation retrieval ranking or next-best-action prediction. Proven depth in one or two specific areas.
• Metrics and evaluation. Strong understanding of statistics and ML metrics; ability to measure model performance and connect it to business outcomes.
• Generative AI experience. Experience building LLM-based applications that combine models with retrieval or vector databases external APIs and agentic or workflow-based approaches (e.g. tool calls MCP).
• Prototyping and production delivery. Comfortable working quickly in research and experimentation with a track record of bringing 12 ML solutions into stable maintainable production systems.
• MLOps foundations. Experience managing experiments versioning and monitoring models using MLflow or similar tools.