1,200 jobs for "Machine Learning Engineer (CV/NLP/Multimodal/LLM) -E-commerce Governance"

As part of our Silicon Engineering group, you will take imaginative and revolutionary ideas and determine how to turn them into reality! You and your team will apply engineering fundamentals and start from scratch if needed, bringing forward-thinking ideas to the real world. Join us, and you will help design products that bring to our customers experiences they've never before envisioned. In this highly visible role, you will be responsible for SOC simulation, optimization and modeling.

Description

The main responsibility of this role is to drive the SOC power simulation, optimization and modeling.
• Work with cross functional teams, including architecture, RTL and physical design teams, to determine the interesting use-cases to simulate power, to provide power projections and targets for the future projects, and to improving the SOC power efficiency
• Working with SOC power team members to drive power analysis and optimization tasks, improving the efficiency with automation and GenAI/LLM approaches.
• Explore new methodology to analyze the power data, create power metrics to identify the optimization opportunities, drive automated approach to improve SOC power efficiency across IPs
• Collaborate cross-functional teams to deploy the power optimization to improve SOC power, review results, improve the methodology on efficiency, runtime, and support boarder scope of designs.

Preferred Qualifications

Familiarity with ASIC power analysis and optimization

Familiarity with machine learning algorithms and programming

Familiarity with Verilog and System Verilog.

Familiarity with SOC design flow and methodology

Familiarity with scripting in Python.

Familiarity computer architecture, logic and circuits design

Familiarity signal processing is a plus

Silicon power measurement experience is a plus

SOC power modeling, low power design and power optimization experience is a plus

Strong communication skills are a pre-requisite as the candidate will interface with a lot of different groups

Minimum Qualifications

A minimum of a bachelor's degree in relevant field and a minimum of 3 years of relevant industry experience.

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 $142,300 and $263,300, 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.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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