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Apple

Staff Software Engineer (Applied AI)

Cupertino, CA$194,600 – $293,900Posted 20 days ago

Apply on company site View full job

Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

We are looking for a Staff level Software Engineer with experience working with the latest LLM's from OpenAI, Anthropic, Gemini, Mistral, Llama etc. 'and custom fine-tuned models i.e(Defog, Nous research) to help us advance our Manufacturing Systems and Operations. You will move fast prototyping ideas and experimenting with new approaches to solve existing problems better. This role will work with and across multiple organizations and functional roles to develop solutions that not only end up in production, but have a significant impact.

Some solutions will be stand alone while others will be built on top of existing systems through a deep collaboration. We want someone that has experience taking an idea from the whiteboard to production and then scale it. You are going to get to do that again here.

Description

The applications we build are used daily by the people at Apple that design our products along with those that figure out how to make them at scale. This includes; Manufacturing Design Engineers, Product Designers, Mechanical Engineers, Quality Engineers, Supply Chain Managers, along with our Suppliers. We work closely with them to design and architect the best solutions for the challenges faced when making the highest quality hardware products.

Preferred Qualifications

Experience with model pipeline and registry tools, detecting and preventing model drift, automating model monitoring, and ensuring model accuracy

Experience building robust evaluations for prompt optimization and tuning ML workflows

Experience with RAG and modern model in context learning techniques

Experience with SQL and database systems such as PostgreSQL

Experience with building ETL pipeline in data warehouse such as Snowflake

Manufacturing experience or exposure is a plus, but not required.

Minimum Qualifications

10+ years in a senior role working across the entire tech stack with a skilled team.

10+ years building robust HTTP APIs and backend services

Expert level grasp of at least 1 modern programming language: Go (preferred), Python, Java, etc.

Experience building solutions that leverage API's from the latest LLMs.

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 $194,600 and $293,900, 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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