Jobs Companies Ifm Us Distributed Machine Learning Engineer

Sobre esta vaga de Distributed Machine Learning Engineer na Ifm Us

Ifm Us · Sunnyvale, CA
About the Institute of Foundation Models
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.



The Role
The Distributed ML Engineer will play a role at the forefront of optimizing performance for the machine learning software stacks, especially at training and inference, and support the team to develop new and cutting-edge systems. The ideal candidate will have a strong background in parallel computing, and hands-on experience in system level coding, debug methodologies, and large-scale machine learning experience.

Key Responsibilities

  • Understand, analyze, profile, optimize, and provide guidance to the team on deep learning workloads on state-of-the-art hardware and software platforms to improve their efficiency with different levels of optimization
  • Design and implement performance benchmarks and testing methodologies to evaluate application performance
  • Build tools to automate workload analysis, workload optimization, and other critical workflows
  • Triage system issues and identify bottleneck and inefficiencies by analyzing the sources of issues and the impact on hardware, network and propose solutions to enhance GPU utilization
  • Support the team to develop appropriate kernels and systems for new model architectures and algorithms
  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation.
  • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.
  • Academic Qualifications

  • Ph.D. in CS, EE or CSEE with 1+ years working experience, OR
  • Masters in CS, EE or CSEE or equivalent experience with 2+ year working experience

  • Visa Sponsorship
    This position is eligible for visa sponsorship.

    Benefits Include
    *Comprehensive medical, dental, and vision benefits 
     *Bonus
    *401K Plan
    *Generous paid time off, sick leave and holidays
    *Paid Parental Leave
    *Employee Assistance Program
    *Life insurance and disability


    Pronto para se candidatar à Ifm Us?
    Candidatar-se à Ifm Us

    Vagas semelhantes

    CoreWeave
    Software Engineer, Inference AI/ML
    CoreWeave
    ⚡ Candidate-se cedo Sunnyvale, CA / Bellevue, WA Presencial $92,000–$135,000
    ● Nova 👁 Vista ✓ Candidatada há 5d
    RA
    Machine Learning Engineer
    RADAR
    ⚡ Candidate-se cedo Sunnyvale, CA Híbrido $195,000–$264,000
    ● Nova 👁 Vista ✓ Candidatada há 1sem
    DoorDash USA
    Principal Machine Learning Engineer, Ads & Promos Delivery
    DoorDash USA
    ⚡ Candidate-se cedo Sunnyvale, CA Presencial $268,600–$395,000
    ● Nova 👁 Vista ✓ Candidatada há 1sem
    DoorDash USA
    Staff Software Engineer, Machine Learning - Personalization
    DoorDash USA
    ⚡ Candidate-se cedo San Francisco, CA; Sunnyvale,... Presencial $137,100–$201,600
    ● Nova 👁 Vista ✓ Candidatada há 1sem
    DoorDash USA
    Staff Machine Learning Engineer, Fulfillment Planning
    DoorDash USA
    ⚡ Candidate-se cedo San Francisco, CA; Sunnyvale,... Presencial $137,100–$201,600
    ● Nova 👁 Vista ✓ Candidatada há 1sem
    Ifm Us
    Machine Learning Infrastructure Engineer
    Ifm Us
    ⚡ Candidate-se cedo Sunnyvale, CA
    ● Nova 👁 Vista ✓ Candidatada há 1m
    Ifm Us
    Machine Learning Engineer
    Ifm Us
    ⚡ Candidate-se cedo Sunnyvale, CA
    ● Nova 👁 Vista ✓ Candidatada há 1m
    Ifm Us
    Machine Learning Engineer – World Model
    Ifm Us
    ⚡ Candidate-se cedo Sunnyvale, CA
    ● Nova 👁 Vista ✓ Candidatada há 2m
    Bee Genius
    AI/Machine Learning Engineer
    Bee Genius
    ⚡ Candidate-se cedo Sunnyvale, CA $155,000–$200,000 ⚠ 6+ meses
    ● Nova 👁 Vista ✓ Candidatada há 9m

    Cadastre-se para receber sugestões sob medida com base nas vagas que você abre e nas buscas que você salva.

    Mais vagas na Ifm Us

    Ver todas as vagas na Ifm Us →

    Candidatar-se agora
    🤖

    Opa — calma aí

    A JobsRadar foi feita para pessoas de verdade passando por um momento difícil na busca por emprego — não para requisições automatizadas. Você está clicando rápido demais e agora está temporariamente bloqueado.

    Volte mais tarde. Se você está mesmo procurando emprego, estamos com você — apenas aja como um ser humano.

    Catch your next role the second it’s posted.

    Create a free account and we’ll watch the boards for you — the instant a job matches your search, it lands in your inbox or Telegram. No digging, no refreshing.

    Create free account

    Free forever · takes 30 seconds · already have one?

    Ganhe vantagem na sua busca por emprego.

    Entre no nosso canal do Telegram para o que ajuda você a conseguir a vaga — referências salariais, o pulso semanal do mercado e avisos de novos recursos. Sem spam, só sinal.

    Entre no canal — é grátis