Machine Learning Data Scientist - Semantics, Apple Ads

The role requires experience in development, fine-tuning, evaluation, and application of large language models (LLMs) to solve complex natural language processing tasks

• Experience in development, fine-tuning, evaluation, and application of large language models (LLMs) to solve complex natural language processing tasks
• Experience in areas such as predictive modeling (classification and regression), optimization, industrial engineering, demand forecasting, and time-series forecasting
• 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
• 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

• 1+ years of professional work experience in Data Science
• Command over Python and common ML/NLP libraries as well as SQL
• Comfort with cloud technologies such as AWS and Snowflake
• Experience with Big Data tools such as Hadoop, Spark and PySpark
• Experience in applying NLP/LLM to real-world problems plus experience in quantitative analysis including regression, classification, linear optimization, supply chain analytics, and time-series analyses
• Ability to communicate the results of analyses in a clear and effective manner with product and leadership teams to influence the overall strategy of the product
• Ability to partner with engineering, meet the data needs of the business, find creative analytical solutions, and develop initial prototypes to address business problems
• Experience with end-to-end implementation of a model prototype specifically training, processing, feature engineering, evaluating model outputs, and putting models into production

• 40 hours/week
• Weekly hours: 40
• 401k matching
• Health insurance
• Flight privileges
• College Student Offer
• Certified Refurbished
• Financing
• Personal Setup

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