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AI Architect - Large Language Models & Generative AI

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Apple

Aug 6

Applications are closed

  • Job
    Full-time
    Senior Level
  • Cupertino

Requirements

  • Experience in identifying and delivering state-of-the-art product architecture for our end to end solutions.
  • 5+ years building NLP/AI software professionally and successfully releasing to customers.
  • 5+ years of hands-on experience in building scalable systems for training & evaluating of machine learning/deep learning models.
  • Experience with state-of-the-art NLP algorithms and AI models, Multi-modal LLMs, Multi-modal contrastive learning, Foundation models, Diffusion based models and parameter efficient fine tuning of LLMs.
  • Experience with Cloud technologies and familiarity with AWS & GCP.
  • Familiarity with deploying model for large scale inferencing & optimizations.
  • Solid understanding of inference speed up techniques such as speculative decoding and optimization of LLMs for human preferences.
  • A strong track record of shipping products and publications / patents.
  • Strong proficiency in PyTorch, TensorFlow, Transformers, Kubernetes, Docker, LangChain, vectorDB and cloud platforms like AWS, GCP, or Azure, and Monitoring tool like Grafana, and CI/CD like airflow, gitlab, and Big Data management like Spark, Kafka.
  • A thought leader having a good balance of business acumen, domain and technical expertise.
  • Excellent presentation, written and verbal communication, engagement and interpersonal skills along with validated skills in building great design.
  • Ph.D. in Computer Science, Artificial Intelligence, Machine Learning or related field; or M.S. in related field with 3+ years experience applying machine learning engineer to real business problems.

Responsibilities

  • - You’ll be working in a team of machine learning engineers of different specializations to prototype and ship world class algorithms that are state of the art.
  • - Lead the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields, including multi modal capabilities.
  • - Lead MLOps, automating ML pipeline, including the training, testing, deployment, monitoring, and scaling of AI models.
  • - Turn prototypes into automation pipelines and deploying them to production; deciding when to use out-of-the-box solutions vs. building custom solutions and utilizing both.
  • - Ongoing data analysis to build new or fine-tune existing models such as GPT to optimize results.
  • - Partner closely with software engineers to implement these models into high-performing systems and models in our production environment that can be applied to create amazing experience for our worldwide audience.
  • - Actively engaging in all aspects of model development, from ideation and experimentation to deployment.
  • - Communicate results of analyses to business partners and executives.
  • - Maintain expertise in the latest advancements in AI technology. Partner with your team members to prepare presentations, papers, and patents for your inventions.
  • - Proactively address and reduce potential biases in model predictions, ensuring our products are inclusive and fair.
  • - Design and implement efficient data pipelines to support large language model training and inference.

FAQs

What is the primary focus of the AI Architect role at Apple?

The primary focus of the AI Architect role is to lead the exploration and application of Large Language Models and Generative AI technologies, collaborating with cross-functional teams to prototype and ship state-of-the-art algorithms for future Apple products.

What are the key qualifications required for this position?

Key qualifications include 5+ years of experience in building NLP/AI software, hands-on experience with scalable systems for machine learning models, expertise in state-of-the-art NLP algorithms and AI models, and proficiency in technologies such as PyTorch, TensorFlow, Kubernetes, and cloud platforms like AWS and GCP.

What educational background is preferred for this role?

A Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is preferred, although an M.S. in a related field with 3+ years of relevant experience is also accepted.

What kinds of technologies will I be working with as an AI Architect?

You will work with technologies including PyTorch, TensorFlow, Transformers, Kubernetes, Docker, LangChain, vectorDB, and cloud platforms like AWS, GCP, or Azure, as well as tools for monitoring and CI/CD pipelines.

Is experience with MLOps important for this position?

Yes, experience with MLOps is essential as you will be responsible for automating ML pipelines, managing model training, testing, deployment, and scaling of AI models.

What is the base pay range for this role?

The base pay range for this role is between $207,800 and $312,200, depending on skills, qualifications, experience, and location.

Are there opportunities for employees to participate in stock programs?

Yes, Apple employees have the opportunity to become shareholders through participation in discretionary employee stock programs, including restricted stock unit awards and a discount on stock purchases through the Employee Stock Purchase Plan.

Will I be responsible for addressing biases in model predictions?

Yes, one of your responsibilities will include proactively addressing and reducing potential biases in model predictions to ensure the products are inclusive and fair.

What types of collaboration will I engage in as part of this role?

You will collaborate with cross-functional teams, including business SMEs, engineers, data scientists, designers, and researchers, to bridge the gap between business and technical teams.

Does Apple support educational expenses for furthering my career?

Yes, Apple offers reimbursement for certain educational expenses, including tuition, related to advancing your career at the company.

Technology
Industry
10,001+
Employees
1976
Founded Year

Mission & Purpose

We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people’s lives. Including your own. Apple is an equal opportunity employer that is committed to inclusion and diversity.

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