Descripción

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

Your Skills & Abilities (Required Qualifications):

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

What Can Give You a Competitive Edge (Preferred Qualifications):

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

Hybrid:

This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI OR Austin, TX three times per week, at minimum or other frequency dictated by the business.

Relocation:

This job may be eligible for relocation benefits

Sponsorship:

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.

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., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)

Este puesto se clasifica como híbrido. Esto significa que se espera que el candidato seleccionado se presente en una ubicación específica al menos 3 veces por semana {o con otra frecuencia indicada por su líder}.

Este puesto podría ser elegible para beneficios de relocalización.

Información sobre diversidad

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Declaración de igualdad de oportunidades en el empleo (EE.UU.)

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Adecuaciones (EE.UU. y Canadá)

General Motors ofrece oportunidades a todos los solicitantes de empleo, incluyendo las personas con discapacidades. Si necesita una adecuación razonable para ayudarle con su búsqueda o solicitud de empleo, envíenos un correo electrónico a [email protected] o llámenos al 800-865-7580. En su correo electrónico, incluya una descripción del puesto específico que está solicitando, así como el título del empleo y el número de solicitud del puesto que está solicitando.