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

Key Skills

Aartificial intelligence, Analytical and Problem solving, Computer Vision (CV), Data Analysis, Data Visualization, Keras software library, Machine learning techniques, Python Programming, PyTorch, TensorFlow

Job Description

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.

Minimum Qualifications

• 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. 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 are a big plus!
• Enthusiasm for continuing to learn innovative techniques in computer vision.

Preferred Qualifications

• 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

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 $170,700 and $300,200, 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.