Senior ML Engineer-WiFi Sensing
2 days ago
Job Title:
Senior ML Engineer
Location:
On Site - Pittsburgh, Pennsylvania, United States
Salary:
$180,000-$225,000
Skills:
Sensor Fusion, WiFi Sensing, Deep Learning (PyTorch/TensorFlow), C++, Visual Transformers
About the Engineering Company / The Opportunity:
Join a pioneering engineering company at the forefront of reimagining perception through advanced wireless and RF sensing technologies. Leveraging years of academic research, this team transforms Wi-Fi and RF signals into intelligent spatial systems capable of detecting people, objects, and threats in real-world environments. This is a rare opportunity to apply the rigor of autonomous vehicle perception to new modalities, building real-time systems that make a crucial impact on safety and situational awareness. You will work alongside talented scientists, engineers, and product experts in Pittsburgh—one of the nation's leading hubs for autonomous and robotics innovation.
Responsibilities:
- Design and train deep-learning models for detection, classification, tracking, and pose estimation using diverse sensor inputs such as wireless CSI, video, depth, or radar data.
- Develop and implement multi-modal fusion techniques integrating vision, RF signals, and time-series data to achieve robust situational understanding.
- Build and maintain scalable data pipelines for large time-series and perception datasets, including data ingestion, labeling, augmentation, and preprocessing.
- Define evaluation protocols and benchmark model performance across varied environments, iterating rapidly to resolve failure modes.
- Deploy perception models into production and on edge or embedded hardware platforms, balancing trade-offs between accuracy, latency, and power efficiency.
- Collaborate closely with hardware, firmware, and systems teams to align sensor configurations, data capture processes, and model designs.
- Stay up-to-date with the latest research in perception, transformer architectures, sensor fusion, and synthetic data generation, implementing relevant advancements into production models.
Must-Have Skills:
- BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field with focus on computer vision, machine learning, sensor fusion, or signal processing.
- Minimum 3 years of experience developing perception or sensor-fusion models in industry or academia (e.g., autonomous vehicles, robotics, or multi-modal perception).
- Advanced proficiency in Python; hands-on experience with PyTorch or TensorFlow and large data pipelines.
- Solid knowledge of transformer models, temporal modeling for time-series data, multi-modal fusion, and evaluation metrics.
- Experience deploying ML models in real-time or embedded systems under compute and latency constraints.
Nice-to-Have Skills:
- Background in autonomous vehicle perception, including camera, LiDAR/radar fusion, 3D object detection, or multi-view modeling.
- Experience with RF or wireless sensing data (e.g., CSI, WiFi-based sensing) or other non-visual modalities.
- Familiarity with domain adaptation, synthetic-to-real data transfer, and self-supervised representation learning.
- Production-quality software engineering skills in C++ or experience with embedded perception stacks.
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