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The goal of the General Motors total rewards program is to support the health and well-being of you and your family. General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging.
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The General Motors Vehicle Mechatronics and Embedded Control (VMEC) organization is seeking to hire highly motivated and qualified individuals as a Senior Software Engineer - Outsourced Steering Software Design Release Engineer.
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The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status.
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Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
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We are seeking a skilled Machine Learning Engineer with expertise in Azure, Databricks, and MLflow, as well as strong full-stack capabilities, including experience with React. As a Machine Learning Engineer supporting POD teams, you will play a pivotal role in providing technical expertise and guidance to ensure the successful development and delivery of machine learning and AI solutions.
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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.
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Experience with Azure cloud services, particularly Azure Machine Learning and Azure Databricks. Provide technical expertise and support to POD teams in the development and implementation of machine learning and AI solutions, leveraging Azure, Databricks, and MLflow.
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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. 5+ years of experience in machine learning engineering, data science, or a related field.
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This role is based remotely but if you live within a 50-mile radius of Warren, MI, or Austin, TX, you are expected to report to that location three times a week, at minimum. Your responsibilities will include collaborating closely with product teams, contributing your expertise in machine learning technologies, and leveraging your full-stack capabilities to support the implementation of frontend components using React.
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GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) Assist in the deployment of machine learning models into production environments, implementing monitoring and logging mechanisms for performance tracking.
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Collaborate with frontend developers to support the implementation of responsive and user-friendly web interfaces using React, integrating machine learning capabilities seamlessly into frontend applications.
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Knowledge of machine learning algorithms, statistical modeling, and data structures. Experience with version control systems (e.g., Git) and containerization technologies (e.g., Docker) is desirable.
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Benefit options include 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 and more.
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Assist in the development and optimization of machine learning algorithms and models, providing guidance on best practices and methodologies. Proficiency in Python for machine learning and data analysis.
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Benefits: GM offers a variety of health and wellbeing benefit programs. Support the design and implementation of data pipelines for data ingestion, processing, and feature engineering, ensuring data quality and integrity.
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Title: lead engineer Company: General Motors
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