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About the Role

We are looking for a hands-on Machine Learning Engineer with at least seven years of experience to productionize machine learning for manufacturing and to build the data engineering that those models depend on. This person will design, train, validate, and deploy models, and will design and operate the ETL/ELT pipelines, feature data, and governed Bronze, Silver, and Gold products those models run on. Current, working knowledge of Databricks is required.

Responsibilities

Productionize manufacturing machine learning, including training, validation, batch scoring, deployment, monitoring, and retraining workflows in Databricks.
Design and build the data engineering underneath those models: ingestion, transformation, curation, feature pipelines, and governed tables and volumes in Unity Catalog.
Build reusable Bronze, Silver, and Gold pipelines and medallion patterns that analytics and ML both consume.
Use MLflow and Unity Catalog for experiment tracking, model registration, versioning, lineage, and controlled promotion across environments.
Ingest from enterprise and plant sources with managed connectors, DLT, Auto Loader, and structured streaming where those fit.
Partner with data science, architecture, product, manufacturing, and platform teams using Python, Spark, SQL, and Databricks-native tools.
Build CI/CD for model and data products, including tests, validation gates, deployment, code review, and operational handoff.
Improve reliability through data validation, evaluation sets, monitoring, alerting, documentation, and runbooks.
Support migration from legacy and on-prem ETL, and from proof-of-concept models, into production Databricks patterns.
Participate in operational support and on-call rotation for production data and ML pipelines.

Requirements

6+ of experience in machine learning engineering, data engineering, or both.
Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field, or equivalent experience.
Proven experience deploying machine learning models into production and building the data or feature pipelines that support them.
Strong proficiency in Scala, Python, SQL, Spark, and Databricks, with production-quality software engineering practices.
Strong experience building and supporting cloud-based ETL/ELT pipelines, data platforms, and pipeline orchestration patterns for both batch and streaming operations.
Experience with MLflow or an equivalent model lifecycle: experiment tracking, registry, versioning, and promotion across environments.
Strong experience with Databricks jobs, workflows, repos, Unity Catalog, and MLflow-based experimentation and model lifecycle management.
CI/CD and GitHub-based deployment of data and ML products.
Experience delivering production pipelines with data science, architecture, product, and business partners.
Strong troubleshooting, communication, and technical leadership.

Skills

Scala
Python
SQL
Spark
Databricks
MLflow
Unity Catalog
CI/CD
GitHub
DLT
Auto Loader
Structured streaming
Azure Event Hub
Kafka
Pulsar

Location

Austin Technical Center

Work Type

Hybrid

Experience Level

7+ years of experience
6+ years of experience

Education Level

Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field, or equivalent experience.

Salary/Compensations

$133,000 - $188,600

Benefits

Medical
Dental
Vision
Health Savings Account
Flexible Spending Accounts
Retirement savings plan
Sickness and accident benefits
Life insurance
Paid vacation & holidays
Tuition assistance programs
Employee assistance program
GM vehicle discounts

About the Company

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Equal Opportunity

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities.
Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment.
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.