Machine Learning Engineer Data, Productivity Apps
Share
Job Location:
Cupertino, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
30-10-2025
Vacancies:
1 Vacancy
Job Summary
As a Machine Learning Engineer focused on data youll be the expert on whats in our datasets and how data characteristics impact model performance. Your primary responsibility will be profiling and analyzing data to surface quality issues identify gaps and guide improvements to both evaluation and training datasets. Your deep understanding of our data will drive informed decisions across our ML pipeline and will be critical to our success in delivering high-quality features to our customers.
- MS or PhD in Computer Science Machine Learning Statistics or related field.
- 3 years of experience contributing to machine learning models in production environments.
- Strong background in statistical analysis and modeling including correlation analysis clustering methods probability theory principal component analysis outlier detection and data visualization.
- Hands-on experience improving large training datasets consisting of both structured and unstructured data.
- Experience reading research papers and the ability to comprehend and build on key ideas.
- Strong programming skills and proficiency with numeric/statistical libraries like pandas numpy scipy etc.
- Strong problem-solving and communication skills and the ability to communicate your ideas through effective data visualizations.
- Experience with distributed computing frameworks (e.g. Spark Hadoop) for large-scale data processing.
- Experience with deep learning toolkits like PyTorch JAX TensorFlow etc.
- Familiarity with cloud platforms (e.g. AWS GCP Azure) and ML deployment tools.
Key Skills
- Data Warehousing
- AC Maintenance
- Actuary
- Database Administration
- Application Support
About Company
Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar ... View more
