Senior Applied ML Scientist, ML DSP

Description

• Design and evaluate machine learning and DSP algorithms that meet strict power, memory, and latency constraints on embedded hardware.
• Execute end-to-end ML workflows, including exploratory data analysis, feature engineering, model training, evaluation, and optimization.
• Conduct research and literature reviews on edge ML, resource-constrained inference, and efficient training techniques.
• Partner closely with hardware, firmware, and product teams to ensure seamless integration of models into the full system.

Requirements

We are seeking a Senior Applied Scientist with expertise in machine learning and digital signal processing (DSP) to design models that operate on multimodal time-series sensor data in highly resource-constrained environments. You will develop algorithms that balance accuracy with strict power and memory limits, helping advance the next generation of Gridware’s edge intelligence. This role blends applied research, model optimization, and low-level implementation in collaboration with hardware and firmware teams.

• MS or PhD in Computer Science, Electrical Engineering, or a related technical field.
• 3+ years of applied research experience in ML, DSP, or algorithm development.
• Experience porting ML models from Python frameworks to firmware-level implementations.
• Experience developing or optimizing algorithms in C/C++ for resource-constrained embedded systems.
• Familiarity with edge ML tools, quantization, model compression, or on-device inference strategies.
• Hands-on experience working with physical sensors and modeling time-series data.
• Strong foundation in ML architectures, DSP theory, and algorithm design for real-world systems.
• 3+ years of experience developing and deploying production ML models.

Benefits

Paid parental leave

Company-paid training

Commuter allowance

Alternating day off (every other Monday)

Health, Dental & Vision (Gold and Platinum with some providers plans fully covered)

“Off the Grid”, a two week per year paid break for all employees.

Training + Development

Interview process

Visa Sponsorship

Security clearance