Senior Machine Learning Engineer

Description
This role is based remotely but if you live within a 50-mile radius of an office [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], 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.

Additional Description
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.

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
Compensation:

• The expected base compensation for this role is: $130,800 - $211,200. Actual base compensation within the identified 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 : 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 NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
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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.
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