Machine learning engineer – Perception

Apple
Apple

Job Overview

Key Qualifications

  • Develop features and models to improve the capabilities of large-scale Deep Learning-based systems.
  • Scale up models, build training datasets and tune parameters to maximize system performance.
  • Build software that improves your rate of experimentation and helps you make better decisions about what to try next.
  • Work with the team to deploy models in a mission critical environment.
  • Able to train and debug deep learning systems: Defining metrics and datasets, performing error analysis, training models in a modern DL framework (such as TensorFlow, PyTorch, Keras, etc.)
  • Familiar with current DL literature and the math of machine learning: optimization methods, common types of models and layers, etc.
  • Strong background in Python development with Linux. You write clean, correct code while iterating on experiments in Python. Ability to understand and contribute to C++-based software is a plus.
  • Excellent communication skills. You collaborate effectively with other teams and communicate clearly about your work.
  • Description

    Working with the team you’ll join a fantastic team of hardworking engineers and researchers with deep experience in robotics, machine learning, and software engineering. We hope you’re excited about the values that drive us:- Passion for the mission: We’re here to make something great. We take on whatever work is right for the product and strive for the best possible results.- Modesty: The right answer is more important than being right. We search for solutions as a team and value clear-eyed feedback.- Lean habits: You can’t grow without limits. Time constraints and big goals inspire us to sharpen our focus and learn to make great decisions.

    Education & Experience

    Bachelors, Masters, or PhD Degree in Computer Science/Machine Learning or equivalent professional experience.

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