Senior ML Engineer - Radar Data & Real-Time Modeling

Echodyne Corp; Kirkland (WA); On-site; USD 125,000 - 187,000; Full time

Benefits offered by this job

RSU

Medical, dental, vision

PPO/HDHP

Virtual care

EAP

Mental health coverage

Travel insurance

Life insurance

Disability insurance

Flexible PTO

401(k) match

Pet insurance

Prepaid legal

Paid holidays

Job summary

Echodyne Corp is seeking a Senior Machine Learning Engineer to advance radar data capabilities and production deployment for fielded radar systems. You will own data exploration, prototyping, evaluation, and deployment, balancing accuracy, latency, compute, and reliability in evolving environments.

You will lead data labeling improvements, design augmentation strategies, and work with cross-functional teams to integrate ML models into Echodyne’s product suite for robust real-time performance.

Qualifications

• Strong foundations in machine learning, probability, statistics, and experimental design.
• Experience taking machine learning solutions from prototype through production deployment.
• Experience with time-series classification.
• Experience training and evaluating models on imbalanced datasets.
• Experience designing labeling workflows and data augmentation for sensor data.
• Experience evaluating model performance and improving data or models based on findings.
• Experience deploying models on embedded, resource-constrained systems.
• Strong Python software development skills and experience with TensorFlow.

Responsibilities

• Prioritize real-world robustness and zero-regression deployment for radar fielded systems.
• Improve data labeling through active learning and automated labeling tools.
• Design data augmentation reflecting radar deployment variability.
• Improve track-classification models via hyper-parameter tuning and architecture exploration.
• Research new ML applications to improve radar systems, including self-supervised methods.
• Build training/evaluation pipelines using field data, focusing on rare targets and imbalanced classes.
• Define evaluation metrics and assess model performance across conditions and target classes.
• Analyze failures, data gaps, and changing conditions to boost robustness.
• Collaborate with cross-functional teams to integrate models into production products.

Skills

ML fundamentals

Production deployment

Time-series classification

Imbalanced datasets

Data augmentation

Model evaluation

Embedded systems

Python

TensorFlow

Independent problem solving

Education

MS/PhD in CS/EE

Tools

C++

Keras/TensorFlow

PyTorch

Job description

Echodyne Corp is seeking a Senior Machine Learning Engineer to advance radar data capabilities and production deployment for fielded radar systems. You will own data exploration, prototyping, evaluation, and deployment, balancing accuracy, latency, compute, and reliability in evolving environments.

You will lead data labeling improvements, design augmentation strategies, and work with cross-functional teams to integrate ML models into Echodyne’s product suite for robust real-time performance.