Lead Machine Learning Engineer

Ladders; United States; On-site; USD 220,000 - 270,000; Full time

Benefits offered by this job

Healthcare coverage

HSA & FSA

Retirement match

Parental leave

Flexible vacation

Wellness program

Job summary

Ladders is seeking a Lead Machine Learning Engineer to advance autonomous driving capabilities, with a focus on model development, experimentation, and large-scale evaluation. The role blends hands-on modeling with leadership and cross-functional influence, partnering with engineering teams to tackle robotics and AI challenges.

Remote within the US, this senior position emphasizes mentorship of engineers and shaping state-of-the-art ML solutions for commercial robotics systems.

Qualifications

• Experience with Vision-Language Models, Generative World Models, or foundation models in robotics.
• Minimum of 4 years of industry experience with commercial robotics systems.
• At least 1 year mentoring Machine Learning Engineers.
• Master's degree in Robotics, Computer Science, or related field.
• Proficiency in Python and PyTorch on Linux.
• Understanding of LiDAR, camera, and radar processing techniques.

Responsibilities

• Design, train, and evaluate state-of-the-art machine learning models for autonomous driving.
• Utilize emerging techniques to address commercial-scale challenges in driving and simulation.
• Lead cross-functional teams of engineers to push the boundaries of current technology.
• Define and execute effective data balancing, training experiments, and evaluation practices for large datasets.

Skills

Vision-Language Models

Python programming

PyTorch

Robotics ML experience

Mentoring ML Engineers

Education

Master's degree in Robotics, Computer Science, or related field

Tools

Linux

LiDAR processing

Camera/Radar processing

Job description

For our client, we are seeking a Lead Machine Learning Engineer to join the team of a leader in the Manufacturing & Automotive space. This role will focus on advancing machine learning capabilities for autonomous driving systems, with an emphasis on model development, experimentation, and evaluation at commercial scale. The position will partner closely with engineering teams to tackle complex driving and simulation challenges using emerging approaches in robotics and AI. This is a highly technical leadership role that combines hands-on modeling work with mentorship and cross-functional influence.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $220,000 – $270,000 annually

Responsibilities

• Design, train, and evaluate state-of-the-art machine learning models for autonomous driving
• Utilize emerging techniques to address commercial-scale challenges in driving and simulation
• Lead cross-functional teams of engineers to push the boundaries of current technology
• Define and execute effective data balancing, training experiments, and evaluation practices for large datasets

Qualifications

• Extensive experience with Vision Language Action Models, Generative World Models, or foundation models in robotics
• Minimum of 4 years of industry experience with commercial robotics systems
• At least 1 year of experience mentoring Machine Learning Engineers
• Master's degree in Robotics, Computer Science, or a related field with a strong mathematical or engineering focus
• Practical experience handling long-tail problems in machine learningProficiency in Python and PyTorch on Linux
• Understanding of LiDAR, camera, and radar processing techniques

Benefits

• Comprehensive healthcare suite, including medical, dental, vision, life, and disability coverage
• Health Savings and Flexible Spending Accounts available
• Rich retirement plan with an immediately vested employer match
• Generous paid parental leave with a phased return policy
• Flexible vacation alongside paid company holidays
• Total Wellness Program offering various wellbeing resources

Our client is an equal opportunity employer.