Senior Machine Learning Engineer

Overview

• Drive innovation in machine learning applications, optimizing real-time systems for cutting-edge technology solutions.
• Collaborate with multidisciplinary teams to integrate advanced models into production pipelines, enhancing system performance.
• Design and implement efficient algorithms for data processing, leveraging modern frameworks and tools.
• Contribute to system architecture decisions, ensuring scalability and reliability in hybrid environments.
• Utilize GPU acceleration techniques to optimize computational throughput and latency.
• Develop robust data structures and memory management strategies for large-scale video and sensor data.
• Profile and optimize code to maximize efficiency and resource utilization.
• Engage in testing and simulation to validate algorithm performance under realistic conditions.

Key Responsibilities & Duties

• Design high-performance software solutions for real-time machine learning applications.
• Collaborate with engineers to integrate models into production workflows effectively.
• Develop multithreaded pipelines for synchronized data processing from diverse sources.
• Optimize GPU-accelerated components using industry-standard frameworks.
• Design scalable data structures for efficient handling of extensive datasets.
• Utilize profiling tools to identify and resolve performance bottlenecks.
• Contribute to architectural planning for hybrid deployment environments.
• Collaborate on testing scenarios to ensure robustness and reliability of algorithms.

Job Requirements

• Bachelor's degree in Computer Science, Engineering, or related field.
• 5+ years of experience in modern C++ development and programming.
• Proficiency in multithreading and concurrency techniques.
• Experience with parallel processing frameworks for real-time applications.
• Strong knowledge of data structures, algorithms, and optimization strategies.
• Hands-on experience with GPU programming and CUDA frameworks.
• Familiarity with integrating machine learning inference engines into systems.
• Expertise in Linux-based development environments and tools.