machine learning engineer for a proactive AI assistant

Enfint; Deutschland; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Cash and equity compensation

Flexible hours in distributed, global팀

Generous paid time off

Company laptop provided

Zusammenfassung

Enfint, a German early-stage AI startup, seeks a machine learning engineer to build and ship production ML systems powering a proactive assistant for productivity tools. You will own ML initiatives end to end, from data preparation through deployment, working with research, product, and engineering teams.

Applicants should have strong Python skills, experience with PyTorch/JAX, and GPU-based training/inference.

Qualifikationen

• Experience building and shipping ML systems used by real users.
• Strong understanding of how modern ML models behave and fail in production environments.
• Excellent Python programming skills and experience with PyTorch and/or JAX.
• Experience with GPU-based model training and inference systems.
• Ability to write reliable, maintainable, production-quality code.

Aufgaben

• Build core machine learning systems powering a proactive, long-horizon AI assistant.
• Own ML initiatives end to end, including data preparation, training, evaluation, inference, deployment, and iteration.
• Turn research ideas into practical systems that operate reliably in production.
• Investigate model failures and system issues using real-world production signals.
• Collaborate with research, product, and engineering teams to deliver meaningful user impact.
• Mentor other machine learning engineers and provide technical guidance through code reviews and strong engineering practices.
• Design solutions accounting for production constraints such as latency, cost, reliability, efficiency, and safety.

Kenntnisse

Problem solving

Communication

Independent work

English fluency

Systems thinking

Tools

Python

PyTorch

JAX

GPU training

Production-grade code

Jobbeschreibung

Описание

The company is an early-stage AI startup building a proactive assistant for everyday productivity tools such as email, notes, and tasks. Its focus is on reliable long-running workflows, persistent context, and completing tasks despite the non-deterministic nature of underlying models.

Задачи

• Build core machine learning systems powering a proactive, long-horizon AI assistant
• Own ML initiatives end to end, including data preparation, training, evaluation, inference, deployment, and iteration
• Turn research ideas into practical systems that operate reliably in production
• Investigate model failures and system issues using real-world production signals
• Continuously ship, measure results, identify improvements, and refine the system
• Collaborate with research, product, and engineering teams to deliver meaningful user impact
• Mentor other machine learning engineers and provide technical guidance through code reviews and strong engineering practices
• Design solutions accounting for production constraints such as latency, cost, reliability, efficiency, and safety

Требования

• Experience building and shipping machine learning systems used by real users
• Strong understanding of how modern machine learning models behave and fail in production environments
• Excellent Python programming skills and experience with PyTorch and/or JAX
• Experience with GPU-based model training and inference systems
• Ability to write reliable, maintainable, production-quality code
• Strong systems thinking and ability to design solutions beyond experimental scripts or research prototypes
• Ability to work independently, take full ownership, and complete complex initiatives
• Strong problem-solving skills and confidence working with incomplete or ambiguous information
• Clear communication skills
• Fluent English

Условия

• Cash and equity compensation
• Flexible hours in a distributed, global team
• Generous paid time off
• Company laptop provided
• Hiring process includes 3, occasionally 4, interviews, followed by fast decisions