Sensor Sim - ML Engineer

FDE Times; Sunnyvale (CA); Presencial; USD 180.000 - 240.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

401(k) With Employer Match

Learning Stipend

Wellness Stipend

Paid Time Off

Descripción de la vacante

FDE Times develops and deploys generative and other machine learning techniques for production-grade sensor simulation. You will work with research teams to model environments and sensors such as lidar, radar, and cameras, and collaborate with rendering and physics-based teams to create approaches that combine these techniques for production value and customer impact.

Requires a bachelor's degree in computer science or software engineering and at least five years of experience building software

Formación

• Requires a bachelor's degree in computer science, software engineering, or an equivalent field, plus at least five years of experience building software components or systems for real-world machine learning challenges.
• Strong machine learning foundations and hands-on experience evaluating and optimizing large generative models and designing agentic systems.

Responsabilidades

• Develop and deploy generative and other machine learning techniques for production-grade sensor simulation.
• Collaborate with research teams to model environments and sensors such as lidar, radar, and cameras.
• Collaborate with rendering and physics-based modeling teams to create production-ready approaches with customer impact.

Conocimientos

Machine Learning

Generative Models

Agentic System Design

Model Evaluation

3D Geometry

Optical Flow

Video Generation

Sensor Simulation

Lidar

Radar

Camera Modeling

Synthetic Data

Robotics Simulation

World Models

Educación

Bachelor's degree in CS/Software Engineering

Descripción del empleo

Develop and deploy generative and other machine learning techniques for production-grade sensor simulation, working with research teams to model environments and sensors such as lidar, radar, and cameras. Collaborate with rendering and physics-based modeling teams to create approaches that combine these techniques, prioritizing production value and customer impact.

Requirements

Requires a bachelor's degree in computer science, software engineering, or an equivalent field, plus at least five years of experience building software components or systems for real-world machine learning challenges. Candidates should have strong machine learning foundations and hands-on experience evaluating and optimizing large generative models and designing agentic systems; knowledge of 3D geometry, optical flow, or video generation is also relevant.

Key Skills

Machine Learning, Generative Models, Agentic System Design, Machine Learning Evaluation, Model Optimization, 3D Geometry, Optical Flow, Video Generation, Sensor Simulation, Lidar, Radar, Camera Modeling, Synthetic Data, Robotics Simulation, World Models

Benefits

Equity, Health Insurance, Dental Insurance, Vision Insurance, Life Insurance, Disability Insurance, 401(k) With Employer Match, Learning Stipend, Wellness Stipend, Paid Time Off