AIML - Senior Machine Learning Engineer, Siri and Information Intelligence

This 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 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 speech and audio technologies.
• Excellent programming skills in Python, and experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• In-depth knowledge of natural language processing and text-to-speech.
• 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 natural language processing, machine learning, and speech.

Key Qualifications

• 6+ years as a Software Development Engineer.
• 4+ years of designing and architecting tools and frameworks.
• Experienced in machine learning.
• Excellent leadership in driving the development of tools and frameworks driven towards excellence in quality.
• Shown problem solving and debugging skills: analyze and investigate test failures, errors, and build issues, able to accurately drive issues to completion and support issues with data.
• Excellent verbal and written communication skills.

Preferred Qualifications

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

Education & Experience

• S. or PhD in natural language processing, machine learning, speech, or a Computer Science related field or equivalent work experience.

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 $175,800 and $312,200, 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.