Senior ML Engineer - Simulation Realism & Data Quality

Neura Market; Mountain View (CA); Hybrid; USD 251,000 - 310,000; Full time

Benefits offered by this job

Equity incentive plan

Discretionary annual bonus program

Generous benefits program

Job summary

Waymo, based in Mountain View, CA, is seeking a senior ML engineer to advance the Waymo Driver data pipelines for high-fidelity simulation. You will work across perception and simulation teams to improve labeling quality and develop models that correct label issues in multi-modal sensor data.

The role requires strong deep learning skills, CV/sensor fusion expertise, and proficiency in Python with TensorFlow or PyTorch. A PhD is preferred but not required, and a hybrid work model is available.

Qualifications

• MS or BS in Computer Science or a related field.
• 5+ (L5) / 7+ (L6) years of experience in applied Deep Learning/Machine Learning.
• Strong background in computer vision, sensor fusion, or perception.
• Proficiency in Python and common ML frameworks (e.g., TensorFlow, PyTorch).
• Experience with data analysis and quality assessment.
• Strong coding and design skills.

Responsibilities

• Apply ML expertise to enhance the quality and accuracy of labeled data derived from multi-modal sensors.
• Develop and implement models to identify and correct issues in perception-based data for simulation.
• Analyze data quality, investigate anomalies, and drive improvements in our data labeling pipelines.
• Collaborate with perception and simulation teams to refine data requirements and quality standards.
• Lead efforts to address complex data quality challenges and define ML strategies for high-fidelity data generation.

Skills

Deep Learning

Machine Learning

Python

Computer Vision

Sensor Fusion

Data Analysis

Coding Skills

Education

MS or BS in Computer Science or related field

Tools

TensorFlow

PyTorch

Job description

Waymo, based in Mountain View, CA, is seeking a senior ML engineer to advance the Waymo Driver data pipelines for high-fidelity simulation. You will work across perception and simulation teams to improve labeling quality and develop models that correct label issues in multi-modal sensor data.

The role requires strong deep learning skills, CV/sensor fusion expertise, and proficiency in Python with TensorFlow or PyTorch. A PhD is preferred but not required, and a hybrid work model is available.