Machine Learning Engineer

Description
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
The Role:
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. If you're passionate about driving innovation and enjoy working collaboratively within product teams, this role offers an exciting opportunity to contribute to impactful projects in a dynamic environment.
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. 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.
What You'll Do:

• Technical Support: Provide technical expertise and support to POD teams in the development and implementation of machine learning and AI solutions, leveraging Azure, Databricks, and MLflow.
• Solution Architecture: Collaborate with product teams to design scalable and efficient solutions, ensuring alignment with architectural best practices and business requirements.
• Model Development Assistance: Assist in the development and optimization of machine learning algorithms and models, providing guidance on best practices and methodologies.
• Data Pipeline Support: Support the design and implementation of data pipelines for data ingestion, processing, and feature engineering, ensuring data quality and integrity.
• Model Deployment Assistance: Assist in the deployment of machine learning models into production environments, implementing monitoring and logging mechanisms for performance tracking.
• Frontend Development Support: 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.
• Collaboration and Communication: Work closely with product teams, data scientists, software engineers, and business stakeholders to understand requirements, provide technical guidance, and ensure successful project delivery.
• Documentation and Knowledge Sharing: Document technical solutions, processes, and best practices, and share knowledge with team members to facilitate learning and collaboration.

Your Skills & Abilities (Required Qualifications):

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field or equivalent experience.
• 5+ years of experience in machine learning engineering, data science, or a related field.
• Experience with Azure cloud services, particularly Azure Machine Learning and Azure Databricks.
• Familiarity with MLflow for model management and experimentation.
• Strong proficiency in React for frontend development.
• Proficiency in Python for machine learning and data analysis.
• 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.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
• Strong problem-solving mindset and a proactive attitude towards learning and self-improvement.

Additional Description
Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

• The salary range for this role is $128,900 - $197,4000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits:

• Benefits: GM offers a variety of health and wellbeing benefit programs. 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.

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.) NOW OR IN THE FUTURE
About GM
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.
Why Join Us
We aspire to be the most inclusive company in the world. 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, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Diversity Information
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 workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. 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. To learn more, visit How we Hire
Equal Employment Opportunity Statement (U.S.)
General Motors is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Accommodations (U.S. and Canada)
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