Machine Learning Engineer

Ensense AI is seeking a Machine Learning Engineer to build the core intelligence that powers its Physical AI platform. The role designs models, training pipelines, and deployment systems to interpret multimodal signals from the physical world, from experimentation through production.

Responsibilities

• Develop and deploy machine learning models that interpret multimodal sensor, audio, video, and environmental data
• Build training pipelines, data processing tools, and evaluation frameworks for large scale spatiotemporal learning
• Fine-tune foundational models for perception, understanding, and inference in physical environments
• Collaborate closely with software and hardware teams to integrate models on device and in the cloud
• Prototype and validate new approaches for environmental understanding, anomaly detection, and physical world inference
• Design systems that ensure reliability, scalability, and high quality data
• Help define modeling strategy, architecture decisions, and long term research direction
• Contribute to a culture of engineering excellence, ownership, and speed

Skills

• M.Sc. or higher in computer science or a closely related field
• Deep understanding of machine learning fundamentals with the ability to innovate at the algorithmic level
• Expertise in signal processing techniques for audio or other sensor data
• Strong proficiency in machine learning frameworks such as Pytorch
• 2+ years of SW/ML engineering experience
• Experience building and maintaining data pipelines and training workflows
• Ability to take models from prototype to production deployment
• Strong problem solving and comfort in fast paced environments
• Clear and concise communication skills
• Familiarity with world models and multimodal sensor fusion
• Experience with spatiotemporal modeling
• Background working with real world data from physical environments such as AVs
• Experience deploying models on resource constrained systems
• Prior startup experience or history as an early technical hire
• High impact publications

Company Overview