Machine Learning Engineer, Trajectory Prediction - SPG

Posted: Sep 16, 2022

Role Number:200357160

Apple is looking for world-class qualified ML/Deep Learning engineers to develop and integrate machine learning technologies within our Special Projects Team, focusing on autonomous technologies in a real world robotics application.

Key Qualifications

Experience in Python and/or C++ with a minimum of 3+ years using these languages in a machine learning (ML) research capacity
3+ years experience in ML and deep learning (DL)
1+ years of experience using ML technologies, such as PyTorch
Experience researching current DL literature and the math of machine learning: optimization methods, common types of models and layers, etc.
Understanding of modern machine learning concepts and state of the art deep learning frameworks
Strong software engineering skills to create scalable and robust infrastructure for deep learning data, modeling, and evaluation systems
Proven ability to train and debug deep learning systems: Define metrics and datasets, performing error analysis, training models in a modern DL framework
Passionate about building extraordinary autonomous systems
Creative, collaborative, and project focused
Excellent communication skills — you collaborate effectively with other teams and communicate clearly about your work
Experience with CNNs, GNNs, Transformers, RNNs, LSTMs

Description

As a member of the team, you will work on a hardware/software project enabled by the ML technologies you build. Our team pursues research & development in the areas of machine learning (ML) with a particular focus on deep learning (DL), optimization, and reinforcement learning (RL). You will work on one of the most challenging technical problems of today and develop cutting-edge deep learning solutions for predicting probabilistic multimodal future trajectories of agents. In particular, you will research and prototype a variety of experiments to push the current state of the art, optimize and deploy models to ensure realtime capabilities, and design and implement a robust evaluation framework to iteratively push progress over time. You’ll also join a phenomenal team of hardworking engineers and researchers with deep experience in robotics, machine learning, and software engineering. We hope you’re passionate about the values that drive us: • Passion for the mission: We’re here to make something great. We tackle whatever work is right for the product and strive for the best possible results. • Humility: 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 encourage us to sharpen our focus and learn to make great decisions.

Education & Experience

A minimum of a Bachelor’s degree in Machine Learning, Robotics, Statistics, Computer Science or a related field. If this is you, we'd love to hear from you.

Additional Requirements

Preferred Experience:
• Experience in applying deep learning to robotics problems and predicting multimodal behaviors for agents
• Experience with hardware specific optimization of ML models and deployment

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $138,900 and $256,500, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.