Senior/Staff AI Algorithms Engineer (Robotics)

Location: Redwood City, United States; on-site

Salary: $170,000–$225,000 annually

Company

hirify.global develops full-stack, software-driven robotics systems for warehouse automation, enabling robots to pick, move, pack, and collaborate with human workers.

What you will do

• Design and prototype algorithms combining learning, prediction, and planning for real product challenges.
• Apply reinforcement learning, geometric reasoning, and optimization to long-horizon manipulation, sensor fusion, and decision-making under uncertainty.
• Translate open-ended problems into practical technical approaches that account for latency, reliability, and partial observability.
• Build and test algorithms in simulation and on real robots.
• Collaborate with product leads, software engineers, and roboticists to deploy new capabilities.
• Improve internal knowledge, tooling, and experimentation pipelines.

Requirements

• PhD or equivalent experience in machine learning, robotics, optimization, applied mathematics, or a related field.
• Strong foundations in probability, statistics, optimization, reinforcement learning, imitation learning, and foundation models.
• Ability to implement theoretical ideas as practical, testable code using Python and PyTorch or similar frameworks.
• Curiosity, initiative, and a hands-on approach to building and debugging real systems.
• Clear communication and effective collaboration across engineering and research disciplines.

Nice to have

• Experience with physics simulators, control stacks, or physical sensing modalities such as RGBD and force-torque sensors.
• Experience deploying machine learning in autonomous vehicles, logistics, or hardware-integrated systems.
• Open-source contributions to machine learning, reinforcement learning, or robotics libraries.
• Previous startup experience.

Culture & Benefits

• Work on novel robotics problems involving physical systems and real-world constraints.
• Own high-impact projects from an early stage with support to drive them forward.
• Contribute to next-generation robotics foundations combining learning, prediction, and planning.
• Compensation may include equity, benefits, wellness resources, and other incentives subject to role and eligibility.