Machine Learning Engineer

2 weeks ago

Canada KlutchShots Ai Full time

About Us

We are a fast-growing AI-focused company building cutting-edge solutions in media and social technology. We are currently seeking a talented Machine Learning Engineer who specializes in object detection and has a solid foundation in data structures, algorithms, and Python. Experience with CoreML and deploying models on edge devices is a strong plus.

Job Description

As a Machine Learning Engineer, you will be responsible for designing, developing, training, and optimizing object detection models. Your work will power our AI-driven features and have direct impact on our core product experience. You'll collaborate closely with software engineers, product managers, and designers to bring AI features from research to production.

Key Responsibilities

  • Design and implement object detection algorithms using modern deep learning frameworks.
  • Build, train, and evaluate custom models for various detection tasks.
  • Develop data pipelines and prepare datasets for training and validation.
  • Optimize model performance for accuracy, speed, and memory efficiency.
  • Convert and integrate models into mobile/edge platforms using tools like CoreML, ONNX, or TensorFlow Lite.
  • Collaborate with cross-functional teams to understand product requirements and deploy models to production.
  • Continuously monitor and improve model performance based on real-world data and feedback.

Requirements

  • 3+ years of experience in machine learning with a focus on computer vision and object detection.
  • Proficiency in Python, along with solid understanding of data structures and algorithms.
  • Experience with deep learning frameworks such as PyTorch or TensorFlow.
  • Strong understanding of CNNs, bounding box regression, and evaluation metrics (mAP, IoU, etc.).
  • Familiarity with model optimization techniques like pruning, quantization, and distillation.
  • Experience training and deploying custom models on real-world datasets.
  • Excellent problem-solving and debugging skills.

Nice-to-Have Skills

  • Experience with CoreML and running models on iOS or edge devices.
  • Knowledge of ONNX, TensorFlow Lite, or other model conversion tools.
  • Familiarity with real-time video processing and hardware acceleration (e.g. GPU, NPU).
  • Experience with MLOps tools for model versioning and deployment.
  • Prior work on AI features in consumer-facing applications.

Benefits:


•Competitive salary and performance-based bonuses.


•Flexible working hours and remote work options.


•Opportunities for professional growth


•A collaborative, dynamic, and inclusive work environment.

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