Senior Machine Learning Engineer

RIGID ROBOTICS; Burnaby; Hybrid; CAD 100,000 - 140,000; Full time

Job summary

A leading company in mining technology seeks a Senior Machine Learning Engineer to drive innovations. The ideal candidate will leverage their expertise in deep learning and sensor data handling to optimize edge computing applications, contributing to a sustainable future in mining. Join a collaborative team and advance your career in a dynamic environment.

Benefits

Competitive salary and benefits package

Opportunities for professional growth and development

Supportive and collaborative work environment

Work at the cutting edge of technology

Contribute to sustainable mining operations

Qualifications

• 6+ years in machine learning or related field.
• Hands-on experience with model optimization techniques.
• Proficient in Python and common ML/AI libraries.

Responsibilities

• Design, develop, and deploy algorithms and ML models.
• Build and maintain ETL pipelines for model development.
• Optimize machine learning models using quantization and pruning.

Skills

Deep Learning

Classical Machine Learning

Problem-Solving

Sensor Data Processing

Education

Bachelor’s or Master’s degree in Computer Science

Tools

Python

TensorFlow

PyTorch

NumPy

Scikit-learn

Job description

Direct message the job poster from RIGID ROBOTICS

Innovating for Smarter Mining (we’re hiring!)

Job Title : Senior ML Engineer

Location : Burnaby, BC (Hybrid)

About Us : At RIGID ROBOTICS, we are on an exciting journey to transform the mining industry. By harnessing the power of precision sensing, IoT, and AI-driven decision-making our vision is to optimize the performance of large mining shovels. Our innovative solutions not only significantly boost operational efficiency and human safety but also bring substantial environmental benefits, including reduction in greenhouse gas emissions and explosive usage.

Join us as we pave the way towards a more efficient and sustainable future in mining!

Job Summary : We are seeking a highly skilled Senior Machine Learning Engineer to join our team. The ideal candidate will have a strong foundation in deep learning, classical machine learning, and sensor data processing. You will play a key role in developing, optimizing, and deploying machine learning models, with a focus on commercial deployment of edge computing applications. This role involves end-to-end development, from data extraction to model deployment, and requires expertise in ETL pipelines, model optimization (quantization, pruning), and sensor data processing.

Key Responsibilities :

• Design, develop, and deploy algorithms and machine learning models for a range of applications, particularly those targeting edge computing platforms.
• Work with various sensor data (position, orientation, etc.) to develop predictive and classification models.
• Build and maintain ETL pipelines to ensure clean, accessible, and structured data for model development.
• Apply deep learning and classical machine learning techniques to solve real-world problems.
• Optimize machine learning models using techniques like quantization, pruning, and knowledge distillation.
• Collaborate with cross-functional teams to understand project goals and data requirements.
• Conduct performance analysis, model validation, and error diagnosis.
• Stay current with industry trends and advancements in machine learning, AI, and sensor data processing.

Qualifications :

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• 6+ years of experience in machine learning, data science, or a related role. Specifically, experience in the commercial phase of ML and AI product is required as a senior staff.
• Excellent problem-solving skills and the ability to work independently or in a team.
• Strong knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch).
• Proficiency in classical machine learning methods (e.g., SVMs, decision trees, clustering).
• Experience working with IMU, GPS sensor data and other time-series data.
• Experience in ETL pipelines : data extraction, transformation, and loading.
• Hands-on experience with model optimization techniques, including quantization, pruning, and knowledge distillation.
• Proficiency in Python and common ML / AI libraries (NumPy, Scikit-learn, etc.).
• Strong understanding of signal processing, especially for sensor data.
• Experience with model deployment and MLOps best practices.

Preferred Qualifications :

• Mining and / or Industrial environment experience.
• Experience with edge machine learning (Edge ML) and deploying models to edge devices (e.g., Raspberry Pi, NVIDIA Jetson, mobile devices).
• Experience with IoT or edge computing applications.
• Experience with cloud platforms like AWS, Azure, or GCP

Benefits :

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Supportive and collaborative start-up work environment.
• Work at the cutting edge of technology in the challenging environment of the mining industry.
• Contribute to more sustainable and efficient mining operations.

RIGID ROBOTICS is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering, Information Technology, and Product Management
• Mining

J-18808-Ljbffr

Create a job alert for this search