Lead GenAI Applied Scientist - Maps AIML

A global technology company that designs, develops, and sells consumer electronics, software, and services.
$207,800 - $378,700
Machine Learning
Principal Software Engineer
In-Person
10+ years of experience
AI

Description For Lead GenAI Applied Scientist - Maps AIML

Apple Maps is seeking an exceptional Lead GenAI Applied Scientist to spearhead the development and application of cutting-edge generative AI technologies. This role presents a unique opportunity to revolutionize mapping capabilities and enhance user experiences for hundreds of millions of users worldwide.

The position combines advanced AI research with practical implementation, focusing on automating map creation, enhancing spatial data accuracy, and delivering personalized experiences. As a technical leader, you'll guide a team of engineers and applied scientists while working on groundbreaking products that align with Apple's commitment to privacy, inclusivity, and sustainability.

The ideal candidate brings 10+ years of applied AI research experience and a strong background in generative AI, machine learning, and large language models. You'll need exceptional programming skills in languages like Python or Java, and experience with modern ML frameworks. The role offers a competitive base salary range of $207,800 to $378,700, plus additional benefits including stock options, comprehensive healthcare, and education reimbursement.

Working at Apple Maps means joining a team at the forefront of AI innovation in spatial technology. You'll tackle complex challenges in geospatial data processing, computer vision, and natural language processing, while ensuring solutions maintain Apple's high standards for user privacy and data security. The role provides opportunities to influence the future of mapping technology through AI, working with state-of-the-art tools and technologies in Apple's collaborative environment.

This position is perfect for someone who combines technical expertise with strategic thinking and leadership abilities. You'll be responsible for driving innovation in maps creation, personalization, and real-time insights, while mentoring team members and collaborating across departments. The impact of your work will be felt by users worldwide, making this an exceptional opportunity for those passionate about applying AI to solve real-world challenges at scale.

Last updated 21 hours ago

Responsibilities For Lead GenAI Applied Scientist - Maps AIML

  • Develop and implement generative AI models to automate map creation
  • Design and deploy AI-powered features for exploration, discovery, and navigation
  • Work cross-functionally with teams to integrate generative AI capabilities
  • Create scalable AI solutions to handle global map data
  • Implement ethical AI practices ensuring fairness and privacy
  • Innovate tools for business owners using AI insights
  • Explore and apply state-of-the-art advancements in multi-model generative AI

Requirements For Lead GenAI Applied Scientist - Maps AIML

Python
Java
  • MS in Computer Science, Artificial Intelligence, Machine Learning or equivalent field with 10+ years of applied AI research and product development experience
  • Proven experience in Generative AI/LLMs/Foundation Models with a proven track record of deploying solutions in production
  • Strong programming experience in one or more of: Java, C++, Python
  • Experience with ML frameworks like TensorFlow or PyTorch
  • Strong collaboration driven track record of execution and delivery
  • Familiarity with privacy-preserving techniques, ethical AI practices and responsible AI deployment
  • Deliver as a technical team lead; guiding a set of engineers and applied scientists
  • Exceptional problem-solving and analytical skills
  • Strong interpersonal and communication skills with executive presence

Benefits For Lead GenAI Applied Scientist - Maps AIML

Medical Insurance
Dental Insurance
Education Budget
Equity
Relocation Benefits
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Employee stock programs
  • Education reimbursement
  • Discretionary bonuses
  • Relocation assistance
  • Employee discount on products
  • Free services

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