Machine Learning Engineer (m/f/d)

Turba AI GmbH; Heidelberg; Hybrid; EUR 100.000 - 125.000; Vollzeit

Zusammenfassung

A tech startup in Heidelberg is seeking a skilled developer to work on the parallelization and deployment of deep learning models for large-scale datacenters. Candidates should have a background in computer science or a related field, with proven experience in deep learning and strong programming skills. The position offers a competitive salary and benefits in a collaborative and innovative work environment.

Leistungen

Competitive salary and benefits package

Flexible working hours and remote options

Collaborative and innovative work environment

Qualifikationen

• Proven experience in developing and optimizing deep learning models.
• Understanding of parallel computing concepts and techniques.
• Knowledge of deep learning model compilation and interoperability technologies.

Aufgaben

• Parallelization, production, and edge deployment of deep learning models.
• Create innovative solutions for large scale datacenters.
• Implement solutions for large scale datacenters in collaboration with other departments.

Kenntnisse

Parallel computing techniques

Programming in C or C++ or Rust

Deep learning frameworks (TensorFlow, PyTorch)

GPU programming (CUDA)

Ausbildung

Bachelor’s or Master’s in computer science, Electrical Engineering, Data Science

Jobbeschreibung

Your mission

• Parallelization, production, and edge deployment of deep learning models
• Create innovative solutions for large scale datacenters
• Implement solutions for large scale datacenters in collaboration with other departments

Your profile

• Bachelor’s ormaster'sdegree in computer science, Electrical Engineering, Data Science, or a related field. PhD is a plus
• Proven experience in developingandoptimizingdeep learning models
• Strongprogrammingskillsin CorC++orRust
• Proficiencywithdeeplearningframeworks(e.g.TensorFlow,PyTorch)
• ExperiencewithCUDA, GPGPUprogramming, andperformanceoptimization
• Understandingofparallelcomputingconceptsandtechniques
• Knowledge of deep learning model compilation,accelerationand interoperability technologies (e.g.ONNX, MLIR etc.)

Why us?

• Competitive salary and benefits package
• Flexible working hours and remote options
• Flat hierarchies, short decision-making paths, and plenty of room for your ideas
• Collaborative and innovative work environment
• The opportunity to be directly involved in building a startup