Senior Engineer – AI Data Generation & Optimization Research - Remote

Overview

Axelera is a European, high-growth Series B startup revolutionizing the AI landscape with our in-memory computing platform. We specialize in creating AI hardware and software optimized for high-performance inference, catering to cutting-edge use cases across high-end edge computing, embodied AI, and server-side AI deployments. We are looking for passionate, innovative research engineers to join our team and help drive the future of AI.

In Short

• Develop innovative techniques for generating synthetic data or augmenting existing datasets.
• Design and implement data selection strategies that optimize model performance.
• Build and optimize systems for a self-sustaining data generation loop.
• Collaborate with AI researchers and engineers to integrate AI models.
• Stay updated with the latest research in multimodal AI.
• Implement best practices for model testing and deployment.

Requirements

• Proven experience in developing and optimizing data pipelines for machine learning.
• Strong programming skills in Python and experience with data manipulation libraries.
• Familiarity with machine learning frameworks like TensorFlow and PyTorch.
• Knowledge of optimization techniques for large-scale data pipelines.
• Strong understanding of AI/ML research advancements.
• Ability to work collaboratively in a fast-paced environment.

Benefits

• Play a key role in shaping the future of AI.
• Join a collaborative, fast-growing team.
• Significant opportunities for personal and professional growth.
• Competitive salary, equity options, and a comprehensive benefits package.