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ANYbotics · 3 months ago

Senior AI Research Engineer, Visual Perception

United States

Full-time

Remote

Mid, Senior Level

4+ years exp

ANYbotics is a fast-growing tech company dedicated to shaping the future of mobile robotics across multiple industries. In this role, you will join the Solutions team to develop and implement cutting-edge AI and machine learning technologies for autonomous robotic inspection, while collaborating with engineers to translate innovative ideas into robust products.

Industrial AutomationMachinery ManufacturingManufacturingRobotic Process Automation (RPA)Robotics

Culture & Values

Responsibilities

Exploring, developing, and implementing cutting-edge technological advancements in multi modal (vision, audio, thermal, gas,...) machine learning

Identifying emerging technologies, conducting in-depth evaluations, and translating these findings into innovative products

Developing prototypes and conducting pilot projects to test new technologies in controlled environments

Driving collaborations with tech startups, research institutions, and industry leaders to leverage external expertise and accelerate innovation

Connecting with the engineering teams for the adoption and integration of new technologies into existing systems and processes, ensuring a seamless transition

Qualification

Machine LearningComputer VisionDeep LearningPythonMLOpsPrototypingC++Project OwnershipCommunication SkillsCollaboration

Required

A PhD in Machine Learning (or a related technical field) OR 4+ years of relevant industrial hands-on experience

Excellent at designing and deploying state-of-the-art computer vision and AI perception models including multi-modal approaches

Excellent expertise in modern deep learning techniques, including transformer-based architectures, large Vision-language models (VLMs), Video generative models and diffusion algorithms or Vision Language Action models (VLAs) with hands-on experience training and fine-tuning such systems for scene understanding applications

Strong track record of implementing and evaluating advanced AI algorithms for perception and scene understanding in real-world scenarios

Strong practical experience across the MLOps pipeline—from data collection and curation to training, fine-tuning, and evaluation

Strong in fast prototyping, concept validation, and rapid iteration—you build to learn and use experimentation as a core development tool

Strong programming skills in Python, with the ability to write clean, and efficient code

Experienced in leading R&D initiatives or small cross-functional teams, with a focus on transferring promising ideas into impactful products

Strong in self-coordination and project ownership, able to structure your work independently, align with strategic goals, and deliver meaningful outcomes

Excellent communication skills, with the ability to effectively share knowledge and insights