Edge Vision ML Engineer for Autonomous Vehicles

Minerva; Worcester (MA); Hybrid; USD 99,000 - 146,000; Full time

Benefits offered by this job

Share options vesting over three years

Bupa private medical insurance

6% employer pension contribution

25 days leave plus bank holidays

Enhanced mat/pat leave

Enterprise level AI tooling

Relocation support/home office budget

Job summary

Minerva Defence is a fast-growing defense technology company in Europe. We create software, hardware and networking that enable unmanned systems on the modern battlefield, designed and manufactured in the UK.

You will join the computer vision team, responsible for the vision and autonomy stack on the vehicles, from data collection and model training to on-edge deployment and flight testing. This role offers hybrid work from our London office and the chance to work on real-world systems with

Qualifications

• Hands-on experience training and evaluating deep neural networks on real-world image or video data.
• Strong Python, plus experience with PyTorch.
• Experience getting a model running on real hardware or in a production system.

Responsibilities

• Build and improve the models behind vision-based navigation, perception and guidance.
• Design, collect and if necessary build annotation pipelines for real and simulated datasets.
• Design and train deep neural network based computer vision models
• Optimise models for deployment on edge compute
• Work with the flight control engineers so model outputs feed reliably into guidance
• Diagnose failure modes from flight data and fix them through data or model changes

Skills

Python

PyTorch

Deep learning

Computer vision

Job description

Minerva Defence is a fast-growing defense technology company in Europe. We create software, hardware and networking that enable unmanned systems on the modern battlefield, designed and manufactured in the UK.

You will join the computer vision team, responsible for the vision and autonomy stack on the vehicles, from data collection and model training to on-edge deployment and flight testing. This role offers hybrid work from our London office and the chance to work on real-world systems with