Sr Machine Learning Engineer - Large Language Models & Generative AI Platform & Infrastructure

Apple Inc.
Apply Now

Job Description

In this role, you will focus on the following key areas:

  • You’ll work in a team of machine learning engineers of different specialization to prototype and ship world class algorithms that pushes the state of the art.
  • Lead the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields.
  • 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 engage 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.

Minimum Qualifications

  • 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.
  • 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.

Preferred Qualifications

  • 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.
  • Excellent presentation, written and verbal communication, engagement and interpersonal skills along with validated skills in building great design.

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 $207,800 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.

Company Info.

Apple Inc.

Headquartered in Cupertino, California, Apple Inc. is a multinational technology company that focuses on producing consumer electronics, software, and online services. It holds the distinction of being the world's largest technology company by revenue and the world's biggest company by market capitalization as of June 2022. Apple is the second-largest mobile phone manufacturer and the fourth-largest personal computer vendor by unit sales.

  • Industry
    Computer software,Consumer electronics
  • No. of Employees
    154,000
  • Location
    1 Apple Park Way, Cupertino, California 95014, USA
  • Website
  • Jobs Posted

Get Similar Jobs In Your Inbox

Apple Inc. is currently hiring Senior Machine Learning Scientist Jobs in Cupertino, CA, USA with average base salary of $207,800 - $312,200 / Year.

Similar Jobs View More