Job Responsibilities: Product Engineering Manager
Salary: $20-30/Hour
Company: Apple
Location: USA
Educational Requirements: Bachelor's Degree
Full Job Description:
The folks at Apple didn't just create products, they created amazing things that changed the entire industry. It's the diversity of these people and their ideas that drive innovation in everything we do, from amazing technology to groundbreaking environmental efforts. Join Apple and help us leave the world better than we found it.
Apple's WW Channel Strategy & Operations (CSO) organization focuses on developing and delivering global marketing programs and best practices to deliver exceptional customer experiences and drive Apple's channel sales. By working deeply in the digital, physical and human spaces, the WW CSO team collaborates with a wide range of stakeholders globally and regionally.
We are looking for a skilled AI NLP Engineering Manager with experience leading an engineering team in building customer service or training solutions. In this position, you will lead, develop and train a team responsible for creating and implementing advanced natural language design processes to create sales and training aids. You and your mentors will benefit from your strong understanding of NLP techniques, including machine learning, text processing, and impact analysis.
3+ years of professional NLP / AI software development and successful delivery to clients; Leadership experience preferred
Experience in data-driven digital transformation projects using AI/ML/NLP technologies
Experience in industry and academia working on a wide range of AI problems
Knowing NLP algorithms and AI models is expensive
Experience with NLP techniques such as object extraction, background analysis, reference resolution, topic modeling, linguistics, text processing, adaptive networks, and graphing techniques.
Experience building and deploying AI models in cloud computing (AWS) environments
Excellent understanding of Python and related machine learning tools (e.g. TensorFlow, PyTorch, NLTK, spaCy, Keras)
Ability to communicate results to non-technical audiences and manage multiple ongoing projects on a tight schedule
Excellent presentation skills, written and verbal communication skills, engaging interpersonal skills and proven skills in organizational excellence
