Machine Learning Engineer - Semantics, Apple Ads
Machine Learning Engineer - Semantics, Apple Ads
Posted on :
02-08-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
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.
- 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.
- Bachelors or equivalent experience in computer science mathematics or another quantitative field.
- 3 years of professional work experience in Data Science.
- Experience in the digital advertising industry or a related field and/or experience with demand forecasting.
- Willingness to learn both technically and in the domain of the data.
- Familiarity with packages like numpy pandas scikit-learn and prophet
- Familiarity with job orchestration frameworks like git Airflow CI/CD Kubernetes Docker Jenkins.
- Masters degree Ph.D. or equivalent experience in a quantitative field.
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
