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Augmodo

ML Optimization Engineer

Posted Yesterday
Remote
2 Locations
Senior level
Remote
2 Locations
Senior level
As a ML Optimization Engineer, you will optimize and deploy CV algorithms on edge devices, ensuring performance and cost-effectiveness while collaborating with teams.
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Augmodo is at the forefront of spatial computing, where mapping connects the digital and physical worlds. As a ML Optimization Engineer, you will play the key role in our computer vision team to optimize and deploy state-of-the-art CV algorithms and pipelines. You will define and scale performance of CV and ML models on Augmodo’s edge devices. You will work at the intersection of model development and systems engineering to ensure our AI solutions are fast, scalable, and cost-effective.

Roles & Responsibilities

  • Optimize ML models for inference performance on various edge platforms (e.g. power-constrained smart badges)

  • Collaborate with research and engineering teams to productionize models with a focus on latency, accuracy, and memory footprint.

  • Leverage tools like TensorRT, ONNX and quantization/pruning/distillation techniques to improve efficiency.

  • Benchmark model performance and guide deployment decisions.

  • Stay current with advancements in model acceleration and hardware optimization.

Experience & Qualifications

  • Expertise in machine learning model deployment and optimization, with experience in model compression, quantization, and inference engines (e.g., TensorRT, ONNX Runtime).

  • Proficiency in Python and ML frameworks like PyTorch or TensorFlow.

  • Experience with CUDA, C++, or systems-level performance profiling.

  • Excellent problem-solving and analytical skills.

  • Strong communication and teamwork skills.

  • 5 years of experience with software development in C++ and Python.

  • Bachelor in Computer Science, Robotics, or a related field.

Preferred Skills

  • Master's degree or PhD in Computer Science or a related technical field.

  • Experience optimizing software performance for real-time systems on embedded or robotic platforms.

  • Expertise in ML model architectures, ML compilers, and runtime frameworks (e.g., TensorFlow Lite).

$155,000 - $210,000 USD + Equity

Additional Information

At this time, we are unable to provide work authorization or visa sponsorship. To be considered for a role at Augmodo, you must be currently authorized to work in the USA, Canada, or the UK without the need for sponsorship now or in the future.

Augmodo provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, Augmodo complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company hires. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, transfer, leaves of absence, compensation, and training.

Augmodo expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Augmodo's employees to perform their job duties may result in discipline up to and including discharge.

Top Skills

C++
Cuda
Onnx
Python
PyTorch
TensorFlow
Tensorrt

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