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# Machine Learning Engineer, Autonomy

- **Company:** TALENTHOP LLC
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Salary:** $202,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Neural Networks, Computer Vision, Big Data, Python (Programming Language), Machine Learning, Tensorflow, Software Deployment, Systems Integration, Pytorch, Deep Learning, Information Technology, Machine Learning Operations
- **Published:** September 23, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pm2xcf1buy

## About the Role

* Bachelor's or Master's Degree in Computer Science or a related field; graduate degree preferred.
 * At least 2 years of experience developing high-performance ML systems, particularly training and optimizing deep neural networks for segmentation, depth, and perception tasks.
 * Proficiency in Python and PyTorch or TensorFlow.
 * Strong understanding of vision and deep learning fundamentals.
 * Effective communication skills for interdisciplinary collaboration and model integration.

Preferred:

 * Experience building and deploying end-to-end ML pipelines.
 * Knowledge of edge deployment and real-time optimization.
 * Background in computer vision, machine learning, and robotics projects.
 * Familiarity with multi-view geometry, SLAM, vehicle autonomy, and robotics libraries such as ROS or ROS2.
 * Experience in metrics implementation and dashboarding.

## Description

* Design and optimize computer vision and machine learning models for perception tasks like segmentation and depth estimation.
 * Manage the full machine learning development lifecycle from prototyping to production deployment on edge and cloud platforms.
 * Collaborate with cross-functional engineering teams to integrate perception models into autonomous machinery.
 * Evaluate and enhance model performance through testing and metric analysis on large datasets.
 * Apply advanced machine learning and computer vision methods to address practical challenges in autonomous agriculture.


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