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Senior Machine Learning Engineer

  • Ubicación
    • Mountain View, California
    • Remote
    • Remote
    • Sunnyvale, California
  • Tipo de trabajo Full time
  • Publicado
  • Job Requisition JR-202524522

Descripción

The Role:  

We are seeking an experienced, technical oriented, impact delivering-driven expert in ML Training Infrastructure with a strong ability to execute hands-on technical work. In this role, you will be responsible for designing and building scalable, reliable, and high-performance AI/ML platform infrastructure to support advanced AI research and model development initiatives. As a Senior ML Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to develop state-of-the-art AI solutions that enable the future of intelligent driving technologies across General Motors vehicles.

What You'll Do: 

  • Design and development of scalable, reliable, high-performance ML framework to support model training at scale.

  • Model training performance analysis and optimization solutions to scale distributed training workflows and maximize resource utilization across heterogeneous hardware environments, and save cost.

  • Raise the bar on system observability, debuggability, and operational excellence, and user experience.

  • Collaborate with cross-functional teams to integrate new features and technologies into the platform.

Your Skills & Abilities (Required Qualifications)

  • Bachelors degree or higher in Computer Science or equivalent major OR equivalent relevant experience

  • 3+ years professional software engineering experience

  • 2+ years specialized experience in AI/ML infrastructure, e.g., enabling distributed training for scaling large ML models

  • Strong programming skills in Python, with proficiency in frameworks such as,PyTorch (preferred), TensorFlow, or similar

  • Experience with distributed computing, GPU computing, and cloud environments (AWS, GCP, Azure).

  • Willingness to travel to Sunnyvale, CA as needed

  • Comfortable working in highly ambiguous and dynamic environments

What Will Give You a Competitive Edge (preferred qualifications):

  • 5+ years of professional software engineering experience.

  • Self-motivated, strong execution, impact-delivering oriented

  • Extensive knowledge and experience with PyTorch 2.x+ and distributed training framework

  • Experience with design and development of training framework that supports FSDP, Pipeline Parallelism and other scalable solutions to training large foundational models

  • Experience with profiling, analysis, debugging and optimizing training and data loading performance.

  • Excellent communication skills to resolve controversial, make consensus, communicate risks and give constructive feedback

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 the California Bay Area. 

  • The salary range for this role is $170,000 to $240,000. 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. 

Relocation: This job may be eligible for relocation benefits.

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-AV-1

Este puesto se desempeña remotamente, pero si el candidato seleccionado vive dentro de un radio específico de una milla de un centro de GM, deberá presentarse en el lugar tres veces por semana {o con otra frecuencia indicada por su líder}.

El candidato seleccionado deberá viajar menos del 25 % del tiempo para este puesto.

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.)

General Motors se enorgullece de ser un empleador que ofrece igualdad de oportunidades.  Todos los solicitantes calificados serán tenidos en cuenta para el empleo sin distinción de raza, color, religión, sexo, orientación sexual, identidad de género, nacionalidad, discapacidad o condición de veterano protegido. 

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.

 

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