Machine Learning Engineer - Semantics, Apple Ads
Job Summary
Job Description
This role requires expertise in developing, fine-tuning, evaluating, and applying large language models (LLMs) to address complex natural language processing challenges. The ideal candidate will possess practical experience in machine learning, data engineering, and prompt design to construct scalable, intelligent systems capable of understanding, generating, and reasoning with human language. Familiarity with predictive modeling, optimization, industrial engineering, demand forecasting, and time-series forecasting is advantageous. A profound comprehension of predictive models, their comparative strengths and weaknesses in specific contexts, and the ability to interpret and communicate model outcomes to diverse technical and non-technical audiences are also beneficial. Driven individuals will collaborate across various use cases, including summarization, classification, knowledge extraction, and prediction, often partnering with product and engineering teams to deploy LLM-powered solutions into production.
Must have:
- Experience in development, fine-tuning, evaluation, and application of LLMs
- Working experience in machine learning
- Working experience in data engineering
- Working experience in prompt design
- Build scalable, intelligent systems for language understanding, generation, and reasoning
Good to have:
- Experience in predictive modeling (classification and regression)
- Experience in optimization
- Experience in industrial engineering
- Experience in demand forecasting
- Experience in time-series forecasting
- Deep understanding and ability to compare predictive models
- Evaluate model strengths and weaknesses
- Interpret and explain model results to stakeholders
2 skills required
Job Details
At Apple, we focus deeply on our customers’ experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses! Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes—from small app developers to big, global brands. Because when advertising is done right, it benefits everyone!The role requires experience in development, fine-tuning, evaluation, and application of large language models (LLMs) to solve complex natural language processing tasks. The ideal candidate will have working experience in machine learning, data engineering, and prompt design to build scalable, intelligent systems that can understand, generate, and reason with human language. Experience in areas such as predictive modeling (classification and regression), optimization, industrial engineering, demand forecasting, and time-series forecasting is a plus. Deep understanding and ability to compare predictive models, evaluate their strengths and weaknesses in a particular context, and interpret and explain model results to a broad group of technical and non-technical stakeholders are also a plus. Driven candidates will work across use cases such as summarization, classification, knowledge extraction, and prediction, often partnering with product, and engineering, bring LLM-powered solutions into production.
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