Find a jobRecruiters

Staff, Machine Learning Engineer - BEV/Multi-Modal Perception

Exclusive opportunity

Onsite

Staff, Machine Learning Engineer - BEV/Multi-Modal Perception

Ladders

Staff, Machine Learning Engineer - BEV/Multi-Modal Perception

Skills

Deep LearningPythonPyTorchTensorFlowMachine Learning

1 month ago

Share this opportunity

Share this opportunity to other talents of your network:
✓ Offer them a visibility boost with clients.
✓ Help your contacts find their next job.

Important information


Contract type:

Permanent

Location:

United States

Work mode:

Onsite

Published on:

14 September 2026

What they need


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.

Other offers great for you!

These companies are also looking for great profiles

Teolia

Machine Learning Engineer

Permanent contract

Lille, France

Hybrid

Skills

Data Engineer

6 months ago

Quick apply

Mobiskill

Machine Learning Engineer

450

Freelance

Remote

Top Recruiter

Skills

PythonPyTorchMachine LearningAIMachine Learning Engineer

10 days ago

Quick apply

Theodo

Machine Learning Engineer / ML Engineer

480 - 580

Freelance

Paris, France

Hybrid

Skills

AIData Scientist

5 days ago

Quick apply

The best place to find your next move

© 2026. All Rights Reserved.

Talents

Find a job

Create a profile

Solutions and tools