Staff, Machine Learning Engineer - BEV/Multi-Modal Perception
LaddersAbout the role
For our client, we are seeking a Staff, Machine Learning Engineer - BEV/Multi-Modal Perception to join the team of a leader in the Manufacturing & Automotive space.
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.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $215,500 – $258,600 annually
Responsibilities
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
Qualifications
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
Benefits
100% paid medical, dental, and vision premiums for full-time employees
401K plan with a 6% employer match
Flexible scheduling and immediate generous paid vacation
Company-wide holiday office closures
AD+D and Life Insurance
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.
Responsibilities
- 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
Qualifications
- 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
Benefits
- 100% paid medical, dental, and vision premiums for full-time employees
- 401K plan with a 6% employer match
- Flexible scheduling and immediate generous paid vacation
- Company-wide holiday office closures
- AD+D and Life Insurance
Skills mentioned
About Ladders
We lead the leaders. Ladder’s community of 10 mm leading professionals come to us to be inspired, grow in their careers, and get ahead in their professional lives. We focus on the $100K+ job market, representing 25% of all jobs and about 50% of income in the US & Canada. We build data-driven tools, marketplaces, news and entertainment products for our growing audience, and the companies, recruiters, and advertisers that want to reach them. We work best with people who enjoy using their talents, commitment and hard work to achieve great successes for millions of real life users through products that impact their careers. We are deeply technology-driven -- about half the company are engineers, technical product people or product designers -- but we never build technology for technology’s sake. We’re always trying to connect our efforts to the good it can do in people’s lives.
H-1B sponsorship history
Historical employer filing data was found for Ladders. The employer record includes 8 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.