MLComputer Vision Engineer

Los Angeles, CA - USA

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

Title: Senior Machine Learning / Computer Vision Engineer

Type: Full-Time Remote

Compensation Range: $150000 $240000 USD

Location: Los Angeles CA United States

Work Schedule: Full-Time U.S. Time Zone

Industry: Autonomous Transportation Technology

Work Authorization: Must be authorized to work in the United States. No visa sponsorship is available for this role.

Company Overview

The organization operates in the autonomous transportation sector developing battery-electric rail vehicles designed to modernize freight logistics. Its mission centers on improving safety efficiency and environmental impact by shifting portions of long-haul freight movement from road to rail through advanced autonomous systems. The company is in a growth phase building next-generation technology for large-scale real-world deployment.

Position Summary

The Senior Machine Learning / Computer Vision Engineer will lead the development of perception systems that enable fully autonomous battery-electric rail vehicles to safely and reliably operate in complex real-world environments. This role focuses on designing training and deploying deep learning models that interpret multimodal sensor data and support real-time decision-making in safety-critical conditions. The position requires strong technical ownership from early system design through production deployment and close collaboration with cross-functional engineering teams.

Key Responsibilities

Design develop and deploy advanced machine learning models for large-scale perception problems.
Demonstrated hands-on 0 to 1 builds of perception systems
Own the full machine learning lifecycle including data mining annotation strategies model training evaluation and deployment.
Build and optimize deep learning architectures for object detection segmentation tracking pose estimation and scene understanding.
Develop scalable training pipelines and ensure models meet real-time inference and reliability requirements.
Work extensively with large-scale image video lidar and radar datasets to support autonomous perception systems.
Conduct research and empirical evaluations of new architectures and algorithms adapting state-of-the-art techniques where appropriate.
Contribute to infrastructure and tooling for automated data labeling training workflows evaluation and model versioning.
Collaborate with autonomy robotics systems and product teams to integrate perception models into production systems.

Required Qualifications

Bachelors degree or higher in Computer Science Machine Learning or a related technical discipline.
Four or more years of experience developing and deploying machine learning systems at scale.
Strong background in computer vision and deep learning with real-world application experience.
Proficiency in Python and common scientific computing libraries.
Expertise in at least one deep learning framework such as PyTorch or TensorFlow.
Strong foundation in linear algebra probability geometry and optimization.
Demonstrated ability to work independently and drive complex technical projects.
Strong communication skills and experience collaborating across disciplines.

Preferred Qualifications

Experience with multimodal perception and sensor fusion using cameras lidar and radar.
Experience optimizing models for edge deployment with real-time constraints.
Background in autonomous systems robotics or other safety-critical domains.
Publications in top-tier machine learning or computer vision conferences.
Experience with GPU acceleration CUDA or inference optimization tools.
Knowledge of low-level programming languages such as C or Rust.
Experience working directly with sensing hardware and understanding sensor limitations.

Title: Senior Machine Learning / Computer Vision Engineer Type: Full-Time Remote Compensation Range: $150000 $240000 USD Location: Los Angeles CA United States Work Schedule: Full-Time U.S. Time Zone Industry: Autonomous Transportation Technology Work Authorization: Must be authorized to work in t...