Micron is a global leader in memory and storage, powering AI and compute-intensive applications from cloud to edge with innovative semiconductor solutions.
About the role
Strong interest in building a career in Data Science, Machine Learning, Generative AI, and Agentic AI within highly automated manufacturing environments. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Hands-on experience or strong knowledge in Agentic AI, machine learning, statistical modeling, feature engineering, exploratory data analysis, and supervised/unsupervised/semi-supervised learning
- Strong proficiency in Python and/or R , with solid software development and scripting capabilities
- Experience working with SQL databases and large-scale data platforms , including Snowflake , Teradata, or similar technologies
- Ability to extract and integrate data from multiple sources using SQL, APIs, ETL/ELT pipelines, and other query mechanisms
- Strong understanding of data cleansing, feature extraction, outlier detection, missing-data handling, data quality, and data transformation techniques
- Experience with distributed data processing technologies such as PySpark, Apache Spark, SparkR, or SparklyR
More about this role
Our vision is to transform how the world uses information to enrich life for all .
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
Strong interest in building a career in Data Science, Machine Learning, Generative AI, and Agentic AI within highly automated manufacturing environments.
- Hands-on experience or strong knowledge in Agentic AI, machine learning, statistical modeling, feature engineering, exploratory data analysis, and supervised/unsupervised/semi-supervised learning .
- Strong proficiency in Python and/or R , with solid software development and scripting capabilities.
- Experience working with SQL databases and large-scale data platforms , including Snowflake , Teradata, or similar technologies.
- Knowledge of the Snowflake ecosystem , including data transformation, analytical workloads, and integration of Snowflake data with Python/ML applications. Experience with Snowpark, Snowflake Cortex AI, or similar AI/ML capabilities is a plus.
- Experience with Microsoft Azure technologies , particularly...
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