Machine Learning Senior Engineer

TL;DR

Machine Learning Senior Engineer (AI Engineering): Develop and deploy state-of-the-art machine learning models on embedded hardware for off-road autonomous vehicles with an accent on embedded hardware optimization, sensor data fusion, and large dataset management. Focus on leading full project cycles, optimizing perception models for Nvidia embedded platforms, and integrating multi-sensor data.

Location: On-site in Boston and Cambridge, MA, USA

Company

hirify.global is a global engineering company focused on innovative solutions in software and embedded systems.

What you will do

• Lead and contribute to machine learning projects throughout the entire development cycle.
• Derive machine learning and data requirements for autonomous vehicle applications.
• Develop, train, and test machine learning models using large datasets.
• Optimize and deploy models on embedded Nvidia hardware and ensure hardware communication.

Requirements

• Location: Must be able to work on-site in Boston or Cambridge, MA, USA.
• Master’s degree in Computer Science, Data Science, or Robotics.
• 4 years experience in C++ and/or Python with computer vision and ML frameworks (OpenCV, TensorFlow, PyTorch).
• 2 years experience with ROS/ROS2, LiDAR, RGB and stereo cameras, sensor data fusion, and data engineering including Azure storage.
• Experience optimizing and deploying perception models on Nvidia embedded hardware (Jetpack, DeepStream).
• Proven leadership in managing machine learning projects including scope, goals, timelines, and task delegation.

Culture & Benefits

• Promotion from within with mentoring, training, and global opportunities.
• Flexibility, autonomy, and support for work-life balance.
• Inclusive work environment valuing diversity.
• Benefits including 13th salary, annual bonus, paid vacation, pension plans, and personal insurance.