Computer Vision Robotics Engineer (AI)

Location: Bedford, Massachusetts, United States

Company

hirify.global develops AI and robotics solutions that automate pick, pack, sort, and unload operations for e-commerce, retail replenishment, and logistics.

What you will do

• Develop solution prototypes for computer vision problems that improve robots' ability to perform increasingly complex tasks.
• Rapidly prototype solutions and create demonstrations for stakeholders and visitors.
• Act as a subject matter expert when transitioning prototypes to product teams.
• Identify high-impact improvements for robotic systems operating in dynamic trailer environments.
• Evaluate advances in robotics and related fields for applicability to trailer-unload challenges.
• Communicate technical priorities and status while mentoring junior engineers or interns.

Requirements

• Master's degree in Robotics, Machine Learning, Computer Vision, Computer Science, or a closely related field.
• 4+ years of software development experience focused on robotic manipulation or related areas.
• Strong development expertise in Python and C++.
• Experience with major deep learning frameworks such as PyTorch.
• Experience with NumPy, pandas, SciPy, Matplotlib, and scikit-learn.
• Experience training and adapting existing machine learning architectures for computer vision, including CNNs, ViTs, or VLMs, for grasp estimation, object detection or segmentation, depth estimation, or anomaly/outlier detection.
• Demonstrated ability to solve real-world computer vision problems with machine learning, develop and troubleshoot real robotic systems, rapidly prototype and iterate, work independently in a fast-paced environment with changing priorities, and communicate technical priorities.
• Strong verbal and written communication skills for explaining complex ideas to technical and non-technical stakeholders.
• Ability to provide technical leadership on key projects and mentor junior engineers.

Nice to have

• MS or PhD in Machine Learning, Computer Vision, Computer Science, or a closely related field.
• Technical proficiency in computer vision applied to robotic manipulation, including grasp estimation or long-tailed object detection and segmentation in clutter.
• Experience with robotic vision sensors, camera-to-robot calibration, RGB and depth data, real and synthetic datasets, data augmentation, machine learning applied to real-world hardware, and real-time perception-based control.
• Experience with robot simulators such as Isaac Sim, model-based and data-driven approaches, Docker, cloud computing, experiment tracking, and dataset management such as Weights & Biases.
• Experience with database systems such as MongoDB, parallel or distributed systems, asynchronous or concurrent programming, and ROS or ROS2.

Culture & Benefits

• Work on AI and robotics systems applied to complex real-world logistics problems.
• Collaborate with engineering and product teams to move prototypes into production solutions.
• Work on robotic systems involving varied packages, shifting walls, confined spaces, and complex unload conditions.