AIML - Senior Machine Learning Engineer, Siri and Information Intelligence

Apple Inc.; Cupertino (CA); On-site; USD 175,000 - 313,000; Full time

Job summary

Join a forward-thinking company as a Senior Machine Learning Engineer, where you will tackle complex AI challenges and enhance user experiences through innovative ML methodologies. Collaborate with a passionate team to design and evaluate models, ensuring the quality of data and metrics that drive decision-making. This role offers the chance to work with cutting-edge technology and contribute significantly to the evolution of conversational AI. If you're eager to dive into real-world problems and explore the latest advancements in machine learning, this opportunity is perfect for you.

Benefits

Comprehensive medical coverage

Dental coverage

Retirement benefits

Employee stock purchase plan

Educational reimbursement

Discounted products and services

Discretionary bonuses

Relocation assistance

Qualifications

• 7+ years of experience in machine learning and data solutions.
• Strong programming skills in Python and data analysis expertise.

Responsibilities

• Run experiments and statistically interpret data to improve user experience.
• Analyze large datasets and ensure data quality throughout processing.

Skills

Machine Learning

Natural Language Processing (NLP)

Conversational AI

Speech Recognition

Python Programming

Data Analysis

Problem Solving

Critical Thinking

Education

B.S. in Computer Science

M.S. in Electrical Engineering

Ph.D. in Statistics

Tools

MapReduce

Hadoop

Hive

Spark

Job description

AIML - Senior Machine Learning Engineer, Siri and Information Intelligence

Cupertino, California, United States Machine Learning and AI

Description

As Siri is becoming an increasingly complex AI system, it is critical to understand the impact of each ML model on other dependent models, while assessing the impact on Siri's 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 talented ML Engineers to work with a passionate, product-focused team to define new approaches for evaluating ML-based systems, conversational AI, and model interpretability. You will run experiments, statistically interpret data with a mind on causation, data visualization, plus design, build, and evaluate models. You will work with large amounts of real-world data to analyze and propose changes to Siri's 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 state-of-the-art deployed models and predictors.

Minimum Qualifications

• 7+ years of professional work experience applying machine learning to real-world problems, and crafting scalable and effective data solutions.
• Strong domain knowledge in at least one of the following: NLP, conversational AI, speech recognition.
• Excellent programming skills in Python and data analytical skills.
• Excellent problem solving, critical thinking, and communication skills.

Preferred Qualifications

• Strong attention to detail. Proven ability to dive into data to discover hidden patterns and conduct error/deviation analysis.
• Good experience with applying Big Data tools (MapReduce, Hadoop, Hive and/or Pig, Spark) to large quantities of textual data.
• Domain knowledge in applied statistics and experimental design is a big plus!
• Enthusiasm for continuing to learn state-of-the-art techniques in machine learning/data science.
• 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.
• B.S., M.S. or Ph.D. in Computer Science, Electrical Engineering, Statistics, Applied Math, Physics or related fields is preferred.

Compensation and 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 reimbursement for certain educational expenses — including tuition — related to advancing your career at Apple. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.

Diversity and Inclusion

Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.