Gridware

Senior Applied ML Engineer, On-Device

Gridware$175K — $205K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • MS or PhD in Computer Science, Electrical Engineering, or related field.
  • 3+ years experience in deploying production ML models on-device.
  • 3+ years in applied research for ML or algorithm development.
  • Hands-on experience with physical sensors and time-series modeling.
  • Solid understanding of ML architectures and on-device algorithm design.

Responsibilities

  • Execute end-to-end ML workflows including data analysis, feature engineering, and model optimization.
  • Design algorithms for strict power and memory constraints on embedded hardware.
  • Research and review literature on edge ML and efficient training techniques.
  • Collaborate with hardware, firmware, and product teams for seamless model integration.

Benefits

  • Health, Dental & Vision plans with some providers fully covered.
  • Paid parental leave offered.
  • Alternating day off every other Monday.
  • 'Off the Grid' - a paid two-week break for all employees annually.
  • Commuter allowance provided.
  • Company-sponsored training opportunities.
Full Job Description
Role Description:

We are seeking a Senior ML Scientist/Engineer 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.

Responsibilities

  • Execute end-to-end ML workflows, including exploratory data analysis, feature engineering, model training, evaluation, and optimization.
  • Design and evaluate machine learning and DSP algorithms that meet strict power, memory, and latency constraints on embedded hardware.
  • 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.


Required Skills

  • MS or PhD in Computer Science, Electrical Engineering, or a related technical field.
  • 3+ years of experience developing and deploying production ML models, on-device.
  • 3+ years of applied research experience in ML or algorithm development.
  • Hands-on experience working with physical sensors and modeling time-series data.
  • Strong foundation in ML architectures and on-device algorithm design for real-world systems.


Bonus Skills

  • Familiar with DSP algorithms and C/C++ for resource-constrained embedded systems.
  • Experience porting ML models from Python frameworks to firmware-level implementations.
  • Familiarity with edge ML tools, quantization, model compression, or on-device inference strategies.


$175,000 - $205,000 a year

**At this time, Gridware is unable to provide visa sponsorship or immigration support for this role. We're only able to consider candidates who are currently authorized to work in the country of employment without visa sponsorship now or in the future.**

This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply!

Benefits

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

Paid parental leave

Alternating day off (every other Monday)

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

Commuter allowance

Company-paid training

About Gridware

Gridware is a cybersecurity company that provides a range of services to help businesses protect themselves from cyber threats. The company was founded in 2017 and is headquartered in Melbourne, Australia. Gridware's services include penetration testing, vulnerability assessments, and incident response, as well as ongoing monitoring and management of cybersecurity risks. The company's clients include businesses of all sizes across various industries, including finance, healthcare, and government.
Learn more about Gridware
Size
10 employees
Industry
Founded
2017

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