Senior AI/ML Engineer

General Motors • Austin, TX

2d • Hybrid

About The Position

The Role: Our team is looking for a Senior AI/ML Engineer to be responsible for developing and deploying machine learning and statistical models and algorithms to support creating or enhancing map content for our ADAS/hands-free driving technology. It is expected that the person exerts technical leadership and guidance for the team in their area of expertise. This will include leveraging state-of-the practice tools and techniques to produce innovative solutions to complex problems. What You'll Do: Design, build, and deploy predictive models and machine-learning algorithms to extract features, identify patterns, and classify outcomes using state-of-the-art frameworks and methods where practical Create and enhance map data and related pipelines using cloud infrastructure and high-performance compute platforms Analyze large datasets to discover trends and patterns Present complex information using data visualization techniques Conduct design, algorithm, notebook, and code reviews focused on machine learning and statistical analysis fundamentals, Python and relevant library best practices, and quality control and performance optimization principles. Document solution designs and development processes clearly and thoroughly Collaborate with other ML Engineers, Data Scientists/Analysts, Software Engineers, and Product team representatives to design E2E solutions and strategies involving machine learning frameworks and big data workflows. Provide technical guidance and subject matter expertise to team members and stakeholders

Requirements

• Master’s Degree in Engineering, Computer Science, Physics, Mathematics, or related quantitative field
• 6 or more years proficiency in one or more core analytical tools / suites / languages such as Python, PySpark, Spark, PyTorch, TensorFlow, and understand their limitations
• Minimum of 4 years of engineering/technical experience outside of a graduate school assistantship
• Demonstrable proficiency in statistical modeling and machine learning frameworks and tools
• Strong foundation in developing algorithms, data structures, and design patterns.
• Experience working with cloud infrastructure, high-performance compute systems, and parallel compute and data storage architectures.
• Experience leading projects and/or teams and managing customer requirements around scope, schedules, and deliverables

Nice To Haves

• Proficiency in geospatial analysis and mapping, mobility and behavioral analysis, and/or active learning frameworks
• Experience using Databricks for managing big data assets and ML models
• Experience with AI-assisted coding tools for rapid development
• Experience with autonomous vehicle and/or ADAS technologies/systems and related vehicle data processing and analytics

Responsibilities

• Design, build, and deploy predictive models and machine-learning algorithms to extract features, identify patterns, and classify outcomes using state-of-the-art frameworks and methods where practical
• Create and enhance map data and related pipelines using cloud infrastructure and high-performance compute platforms
• Analyze large datasets to discover trends and patterns
• Present complex information using data visualization techniques
• Conduct design, algorithm, notebook, and code reviews focused on machine learning and statistical analysis fundamentals, Python and relevant library best practices, and quality control and performance optimization principles.
• Document solution designs and development processes clearly and thoroughly
• Collaborate with other ML Engineers, Data Scientists/Analysts, Software Engineers, and Product team representatives to design E2E solutions and strategies involving machine learning frameworks and big data workflows.
• Provide technical guidance and subject matter expertise to team members and stakeholders

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior