Data Jobs in Taylor, TX

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Machine Learning Engineer

Samsung Taylor, TX

Taylor, TX

Today

$90k - $175k/yr Full time Anomaly Detection Big Data Data Pipeline

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Job Description

Samsung Austin Semiconductor is seeking a Machine Learning Engineer (onsite in Taylor, TX) to build and maintain production ML pipelines for anomaly detection and root cause analysis.

Responsibilities

Develop PySpark workflows to ingest, clean, and transform high-volume manufacturing data into structured datasets for training and inference.
Improve performance of Spark jobs by tuning partition strategies, managing executor memory, reducing shuffle operations, and addressing skewed joins to lower runtime and cluster resource usage.
Create and maintain end-to-end ML pipelines that automate feature calculation, model training, validation, and deployment with runs that are reproducible and auditable.
Build and tune machine learning models for anomaly detection and root cause analysis.
Manage model lifecycle in production by tracking model versions, storing artifacts securely, triggering automated retraining, and performing rollback procedures when performance degrades.
Monitor pipeline execution time, data quality checks, and model metrics including accuracy, drift, and throughput; implement alerting rules to catch failures or degradation early.

Requirements

Bachelor’s degree or higher in Computer Science, Software Engineering, Data Science, or a related quantitative field.
3–5+ years of professional experience building and maintaining machine learning systems.
Strong proficiency in PySpark and distributed data processing, including experience optimizing jobs for speed and memory.
Hands-on experience with Python ML libraries including one or more of: scikit-learn, TensorFlow, PyTorch, XGBoost for training and evaluation.
Practical knowledge of MLOps, including pipeline orchestration, model versioning, experiment tracking, and deployment.
Experience setting up monitoring and alerting for data pipelines and deployed models.

Technologies

PySpark
Spark
Python
scikit-learn
TensorFlow
PyTorch
XGBoost

Benefits

Medical, dental, and vision insurance
Life insurance and 401(k) matching with immediate vesting
Onsite café(s) and workout facilities
Paid maternity and paternity leave
Paid time off (PTO) + 2 personal holidays and 10 regular holidays
Wellness incentives and MORE
Eligible full-time employees (salaried or hourly) may receive MBO bonuses based on company, division, and individual performance

Preferred

Experience setting up model registries, automated retraining triggers, and rollback procedures to support reliable production models.
Experience writing automated tests and validation checks for data pipelines and model outputs to catch errors before deployment.
Familiarity with on-prem or private cloud infrastructure, including cluster management and secure artifact storage.

Compensation and Work Model

Base pay range: $90,000 - $174,500 per year
Work model: Full-time, on-site at Samsung Austin Semiconductor

U.S. Export Control Compliance

This role may require access to information subject to U.S. export control laws; applicants must be authorized to access such information or eligible for government authorization.

Trade Secrets Notice

By submitting an application, you agree not to disclose to Samsung, or encourage Samsung to use, any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity.

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