Senior ML Engineer, Perception
At a glance
Senior Machine Learning Engineering role at Clera. San Francisco · full-time · $190,000–$222,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Set the system design for detection, tracking, classification and sensor fusion across the perception stack
- Create machine-learning models and training pipelines, then put them into service on embedded devices
- Bring EO/IR and other sensor inputs together across the targeting system
- Improve perception code for real-time use on embedded hardware with strict latency limits
- Work with robotics, controls and hardware engineers, and guide other perception engineers as the team grows
What you bring
- At least five years taking perception systems from development to deployment on physical hardware
- Production ML engineering with Python and C++, covering model creation, training pipelines and deployment
- Practical experience building real-time vision detection and tracking from live sensor feeds and delivering systems for real-world targets
- Experience putting models on-device with TensorRT, ONNX or an equivalent, while meeting embedded compute and latency limits
Who this fits
This senior role suits a hands-on perception engineer who can also mentor teammates. You’ll work on-site in San Francisco five days a week, with range days. Visa sponsorship is unavailable.
From the employer
About the Role
Lead the perception stack for an autonomous defense technology system, owning detection, tracking, classification, and sensor fusion. You will work closely with robotics software, controls, and hardware engineers to deliver perception that performs reliably in real-world conditions.
What You'll Do
Design and own perception architecture across detection, tracking, classification, and sensor fusion.
Develop ML models and training pipelines, then deploy them on embedded devices.
Fuse EO/IR and other sensor data across the targeting system.
Optimize perception software for real-time performance on embedded hardware and within tight latency budgets.
Partner with robotics, controls, and hardware teams to align perception capabilities with system constraints.
Mentor perception engineers as the team grows.
What We're Looking For
At least 5 years building and shipping perception systems on physical hardware.
Production ML engineering experience in Python and C++, including model development, training pipelines, and deployment.
Hands-on experience building real-time computer vision detection and tracking from live sensor data, and shipping systems for real-world targets.
Experience deploying models on-device with TensorRT, ONNX, or equivalent, and optimizing for embedded compute and latency constraints.
A recent background in computer vision, perception, robotics software, or related machine learning for physical systems.
Experience with multi-sensor fusion, EO/IR or thermal imagery, moving-camera compensation, or small and long-range targets is valuable.
Counter-UAS, aerial tracking, radar or RF perception, classified programs, and work in adversarial or denied environments are also relevant.
Compensation & Benefits
Base salary: $190,000 to $222,000 annually. Visa sponsorship is not available.
Location
On-site in San Francisco, California, United States, five days per week, with range days.
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