> Markdown version of [/jobs/ext/2988542-staff-machine-learning-engineer-bev-multi-modal-perception](https://www.wearedevelopers.com/jobs/ext/2988542-staff-machine-learning-engineer-bev-multi-modal-perception). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff, Machine Learning Engineer - BEV/Multi-Modal Perception - **Company:** The Ladders - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $215,500.0 - $258,600.0 - **Contract:** Permanent contract - **Skills:** Distributed Computing Environment, Python (Programming Language), Machine Learning, Tensorflow, Sensor Fusion, Pytorch, Deep Learning, Model Validation, Data Strategy, Information Technology, Lidar, Data Pipelines - **Published:** September 18, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pl4rrug0px ## About the Role * 10+ years of experience in deep learning for perception, 3D vision, or autonomous systems * M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, or equivalent practical experience * Proven expertise in BEV modeling and multi-view fusion * Strong background in multi-modal sensor fusion, especially camera and LiDAR integration * Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow * Experience with large-scale data pipelines and distributed training * Demonstrated leadership in ML model innovation and team mentoring ## Description This role will shape advanced perception capabilities for autonomous vehicle systems, with a focus on bird's-eye-view modeling and multi-modal sensor fusion. You will lead model development efforts that combine data from multiple sensing modalities to improve scene understanding, robustness, and reliability in complex driving environments. The position partners closely with cross-functional engineering teams to integrate performant ML solutions into a broader autonomous technology stack., * Lead development of BEV-based perception models across multiple tasks * Design architectures that fuse data from cameras, LiDAR, radar, and HD maps * Develop foundational perception models using advanced techniques such as BEV transformers * Own large-scale training workflows, including data strategy and hyperparameter optimization * Improve model robustness in challenging conditions such as occlusions and low visibility * Establish evaluation frameworks for model performance and accuracy * Collaborate with cross-functional teams to ensure cohesive model integration * Mentor ML engineers and promote best practices in experimentation and model validation ## Related Videos - [How Machine Learning is turning the Automotive Industry upside down](https://www.wearedevelopers.com/videos/61-how-machine-learning-is-turning-the-automotive-industry-upside-down) - [How to develop an autonomous car end-to-end: Robotic Drive and the mobility revolution](https://www.wearedevelopers.com/videos/22-how-to-develop-an-autonomous-car-end-to-end-robotic-drive-and-the-mobility-revolution) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)