Senior Machine Learning Engineer

About Peregrine

Based in Berlin, Peregrine harnesses artificial intelligence to convert cameras into smart devices aimed at improving road safety and urban mobility worldwide while ensuring privacy protection.

Our diverse, internationally collaborative team brings together highly skilled experts with strong academic backgrounds and extensive industry experience from prestigious automotive and technology companies and institutes across Europe and Silicon Valley.

Role Overview

The Senior Machine Learning Engineer will lead the development, training, and deployment of core computer vision models integral to our products. This role sits at the intersection of research and practical application, focusing on designing trustworthy systems that operate efficiently on edge devices with stringent latency and privacy requirements.

Key Responsibilities

• Develop and optimize deep learning models for tasks including object detection, semantic segmentation, pose estimation, and tracking.
• Deploy and adapt models for edge hardware with tight resource constraints, targeting latency within single-digit milliseconds without relying on cloud connectivity.
• Construct and sustain reliable computer vision workflows encompassing data collection, model training, and real-time inference.
• Implement model compression techniques such as quantization, pruning, knowledge distillation, and neural architecture search to conform to performance limitations.
• Create synthetic data generation and domain adaptation pipelines to minimize discrepancies between simulated and real-world data.
• Conduct end-to-end profiling of inference pipelines to locate and resolve performance bottlenecks on target hardware.
• Translate leading-edge academic research into dependable, production-ready systems.
• Collaborate with hardware, product, and research teams to develop a privacy-centric architectural design.

Required Skills and Experience

• Expertise in edge AI with experience in deploying and optimizing complex deep learning models on resource-limited devices without cloud dependency.
• Profound knowledge in advanced computer vision applications including object detection, segmentation, pose estimation, and tracking.
• Capability to design hardware-aware network architectures tailored to specific sensor configurations and strict latency requirements beyond generic APIs.
• Experience in synthetic data pipeline construction and domain adaptation techniques like domain randomization and GANs to bridge the simulation-to-reality gap.
• Proficiency in C++ for production edge deployment and Python for model research, training, and analysis.
• Hands-on experience with AI/ML frameworks: PyTorch and TensorFlow/Keras.
• Skilled in inference acceleration and model conversion tools such as TensorRT, ONNX, and OpenVINO.
• Applied knowledge of model compression strategies including quantization, pruning, knowledge distillation, and neural architecture search.
• Competence in designing privacy-focused, local AI architectures ensuring data sovereignty and GDPR compliance without cloud roundtrips.
• Strong ability to perform detailed performance profiling to achieve low latency on specialized silicon.
• Capability to translate complex academic research into robust, real-world applicable systems.
• Experience in AI strategy formulation including feasibility assessments, ROI analyses, and privacy-first architectural design.
• Adaptable and problem-solving mindset with entrepreneurial motivation and effective communication skills in English.
• Startup or venture capital experience is advantageous but not mandatory.

Benefits and Work Environment

• Opportunity to play a key role in the company’s expansion and success.
• Competitive remuneration package.
• Role growth aligned with company evolution.
• Flexible scheduling with a remote-first policy and need-based work-from-home arrangements.
• Inclusive, diverse workplace with a flat hierarchy to foster rapid decision-making and open dialogue.
• A culture that encourages continuous learning and embraces innovative ideas.
• Engaging team events held throughout the year.
• Monthly public transport subsidy.
• Complimentary beverages, snacks, and coffee available.