AIML - Senior Machine Learning Engineer, Computer Vision, Siri and Information Intelligence

$175,800 - $312,200/Yr

Apple - Cupertino, CA

Full-time - Senior

Cupertino, CA

Computer and Electronic Product Manufacturing

About the position

As part of Apple Intelligence, the Siri team is at the forefront of the next revolution in machine learning and Computer Vision AI. Our innovative product redefines computing by using powerful technologies in computer vision and AI. We are dedicated to creating groundbreaking conversational assistant technologies for both large-scale systems and new client devices, building upon our legacy of intelligent assistant solutions that already assist millions of users worldwide. We are seeking a highly skilled Senior Machine Learning Engineer specializing in Computer Vision to join our dynamic team. The ideal candidate will play a pivotal role in the evaluation and enhancement of our product's computer vision capabilities. They will collaborate closely with multi-functional teams to implement and optimize computer vision models, ensuring the highest level of performance, accuracy, and scalability. This role offers a great opportunity to contribute to the advancement of AI systems and shape the future of computing. As a Machine Learning Engineer within the Siri team, you will define new approaches for evaluating innovative computer vision algorithms and models to enhance product capabilities, including but not limited to image classification, face recognition, object detection, motion detection, action recognition, pose estimation, and gesture recognition. You will collaborate with different modeling teams and product managers to conduct thorough evaluation and analysis of computer vision algorithms and models, identifying areas for improvement and optimization. You will work with large amounts of real-world data to analyze and propose changes to the Siri user experience. You will ensure data quality throughout all stages of acquisition and processing, data wrangling, etc. Your expertise in defining and measuring the online and offline end-to-end metrics will help communicate, evaluate, and iterate on innovative deployed models and predictors. As Siri is becoming an increasingly complex AI system, it is essential to understand the impact of each ML model on other dependent models, while assessing the impact on Siri end-user experience. The Siri team leads the development of advanced evaluation methodologies for ML-based systems, model interpretability, and experimentation, to ensure that every release delivers an improved Siri user experience. The team is searching for versatile ML Engineers to work with a passionate, product-focused team to define innovative approaches for evaluating ML-based systems, computer vision, and model interpretability. You will run experiments, statistically interpret data with a mind on causation, data visualization, plus designing, building, and evaluating models.

Responsibilities

• Evaluate and enhance product's computer vision capabilities.
• Collaborate with multi-functional teams to implement and optimize computer vision models.
• Define new approaches for evaluating innovative computer vision algorithms and models.
• Conduct thorough evaluation and analysis of computer vision algorithms and models.
• Identify areas for improvement and optimization in computer vision models.
• Work with large amounts of real-world data to analyze and propose changes to the Siri user experience.
• Ensure data quality throughout all stages of acquisition and processing.
• Define and measure online and offline end-to-end metrics for deployed models and predictors.
• Run experiments and statistically interpret data with a focus on causation and data visualization.
• Design, build, and evaluate machine learning models.

Requirements

• 7+ years of professional work experience applying machine learning to real-world problems with a focus on computer vision.
• Excellent programming skills in Python, and experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• In-depth knowledge of computer vision algorithms and techniques, including image processing, feature extraction, and convolutional neural networks (CNNs).
• Experience working with large-scale datasets for training and evaluation of computer vision models.
• Excellent problem solving, critical thinking, and data analysis skills with strong attention to detail.
• Proven track record to dive into data to discover hidden patterns and conduct error/deviation analysis.
• Effective communication skills and ability to collaborate effectively in a multi-functional team environment.
• Domain knowledge in applied statistics and experiment design is a big plus.
• Enthusiasm for continuing to learn innovative techniques in computer vision.

Nice-to-haves

• Strong background in A/B testing procedure, causal analysis, and cohort analysis.
• Exposure to model interpretability techniques and their real-world advantages/drawbacks.
• Good Conversational AI domain knowledge.
• Experience working with end-to-end pipelines and/or crowd-sourced data labeling.

Benefits

• Comprehensive medical and dental coverage.
• Retirement benefits.
• A range of discounted products and free services.
• Reimbursement for certain educational expenses, including tuition.
• Opportunity to participate in Apple's discretionary employee stock programs.
• Discretionary bonuses or commission payments may be available.
• Relocation assistance may be provided.