Offer summary

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Robotics, or a related field., 4+ years of hands-on experience developing and deploying deep learning models in production settings., Proficiency with modern ML/DL frameworks such as PyTorch, TensorFlow, NumPy, and Scikit., Strong understanding of ML model design, training, evaluation, and debugging..

Key responsibilities:

Develop and train models for applications such as path planning, behavioral planning, and scene understanding.

Integrate ML models into production-vehicle systems and manage datasets across various operational conditions.

Drive rapid iteration of dataset generation, model training, evaluation, and new development work.

Mentor and collaborate with engineers to foster a high-performance, learning-focused culture.

Job description

The Company

Outrider is automating distribution yards using electric, self-driving trucks. Our system replaces hazardous, repetitive tasks to improve safety, efficiency, and sustainability in freight operations. Founded in 2018, we are a private company backed by NEA, 8VC, Koch Disruptive Technologies, NVIDIA, and other top-tier investors. Our autonomous systems are already deployed with Fortune 200 customers. Learn more at www.outrider.ai.

At Outrider, you’ll help build and deploy cutting-edge software that powers the next generation of autonomous freight systems. Your work will have direct, real-world impact—improving safety, precision, and sustainability across the global supply chain. You'll collaborate with top engineers across autonomy, robotics, and infrastructure to build reliable, scalable systems that keep goods moving.

The Role

We are looking for a Senior ML/Deep Learning Engineer to lead the development of our ML stack for navigation. This role centers on creating and deploying deep learning models that enable our autonomous trucks to navigate complex, dynamic environments such as distribution yards.

This is not a generic AV problem—we work in a constrained but highly demanding domain, with custom electric vehicles, purpose-built hardware, and real customers. You'll work alongside a focused, high-performing team and leadership that is committed to delivering a production-grade autonomous solution.

Duties & Responsibilities

Work closely with the other teams in Autonomy, including data, ML, and integration, to:

Develop and train models for applications such as path planning, behavioral planning, and scene understanding
Evaluate model performance
Incorporate models into navigation algorithms
Integrate ML models into production-vehicle systems
Define and manage datasets across various operational conditions and customer sites
Be responsible for the full software engineering lifecycle: requirements, design, source code implementation, unit test, integration, and system test
Drive tasks of rapid iteration of dataset generation , model training, evaluation and new development work to fix problems observed, repeat
Develop robust tooling and infrastructure to support scalable ML development and model integration
Maintain high software engineering standards with well-documented, tested, and modular code
Mentor and collaborate with engineers to foster a high-performance, learning-focused culture

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Robotics, or a related field
4+ years of hands-on experience developing and deploying deep learning models in production settings
Proficiency with modern ML/DL frameworks such as PyTorch, TensorFlow, NumPy, and Scikit
Familiarity with recent research and state-of-the-art practices in deep learning
Deep understanding of ML model design, training, evaluation, and debugging
Strong communication skills with the ability to collaborate cross-functionally

Ideal Qualifications

Strong understanding of robotics, navigation, localization, or autonomous systems
Proficiency in reinforcement learning for motion planning or control
Prior experience in fast-paced startup or research-driven environments

Compensation & Benefits

Salary: $155,000 - $220,000
Equity: Significant equity package commensurate on experience and skills
Benefits: Full health benefits
Fully remote, with exciting opportunities to travel to our Denver headquarters for team collaborations and special events.
Home office stipend up to $500 to help you create a comfortable and productive workspace.
Actual compensation is based on several factors, including but not limited to job-related skills, qualifications, experience, and specific work location due to differences in the cost of labor

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