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AI Engineer Jobs
Apple

Software Engineer (Applied AI)

Apple

Location
Onsite (Cupertino, California)
Employment
Full-time
Level
Senior Level
Posted 1 week ago

About the Role

Apple is seeking a Staff Software Engineer to develop and scale AI-driven solutions using LLMs for its Manufacturing Systems and Operations. This role involves collaborating across functional teams to move prototypes from concept to production, impacting product design and supply chain processes.

Skills

LLM Go Python Java HTTP APIs RAG SQL PostgreSQL Snowflake ETL Pipelines Model Monitoring Prompt Optimization Backend Services Model Fine-tuning ML Workflows Software Architecture

Full job details

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.

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.

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.