Senior Machine Learning Engineer

Top Echelon Software, LLC; Georgia; Remote; USD 180,000 - 260,000; Full time

Job summary

Top Echelon Software, LLC is seeking a Senior Machine Learning Engineer to contribute to autonomous driving initiatives. The role supports experimentation, development, and deployment of ML models in a fast-paced setting across multiple locations with remote work options.

Candidates should hold an advanced degree and have deep expertise in ML/vision, with proficiency in PyTorch and TensorFlow. Collaboration across teams and independence are essential for success.

Qualifications

• Ph.D. or Master’s degree in related fields such as computer science, computer engineering, mathematics, physics, or similar.
• In-depth knowledge of machine learning and/or computer vision using state-of-the-art techniques.
• Familiarity with PyTorch, TensorFlow, and other ML platforms and tools.
• Strong motivation to work independently in a fast-paced environment while collaborating on large-scale projects.

Responsibilities

• Explore and propose ideas using deep learning, neural networks, and foundation models in autonomous driving.
• Handle end-to-end ML project lifecycle from data analysis to metrics verification.
• Collaborate with product, simulation, and other teams to extend ML tech across components.

Skills

Deep learning

Computer vision

Independent work

Collaboration across teams

Education

Ph.D./Master's in CS/Engineering/Math/Physics

Tools

PyTorch

TensorFlow

Job description

Job Title:Senior Machine Learning Engineer

Work Location:Houston, TX or SF Bay Area - 100% Remote

Salary Range:$180,000 - $260,000 Per Year

Job Type:Direct Hire

Sponsorship:Yes, Company provides visa sponsorship

Job Overview
A leading autonomous mobility company seeks machine learning engineers at all levels to join its machine learning team. The team's mission is to experiment, design, and develop solutions addressing open questions in autonomous driving toward full commercialization. You will work with excellent engineers in a vibrant, fast-paced environment.

Key Responsibilities

• Explore and propose new ideas using knowledge and experience in deep learning, neural networks, and large foundation models in autonomous driving, including end-to-end object detection, tracking and prediction, end-to-end planning and control, end-to-end autonomous driving systems, end-to-end online mapping, and more.

• Work on the entire lifecycle of machine learning projects, from data analysis and model experimentation to performance metrics verification, while understanding the workflow in great detail.

• Collaborate on cross-team projects with product, simulation, and other autonomous driving algorithm teams to extend machine learning technology to all components.

Requirements

• Hold an advanced degree (Ph.D. or Master’s) in related fields such as computer science, computer engineering, mathematics, physics, or similar.

• Possess in-depth knowledge and extensive experience in machine learning and/or computer vision, employing state-of-the-art (SOTA) techniques.

• Be familiar with PyTorch, TensorFlow, and other machine learning platforms and tools.

• Demonstrate strong motivation to work independently in a fast-paced environment while collaborating on complex, large-scale projects.

Preferred Qualifications

• Have a proven track record of research publications in top conferences and/or journals as the first author.

• Possess knowledge and experience in generative models, model distillation, or model inference acceleration techniques (e.g., TensorRT).