Job Description


Job Overview

  • Job ID:

    J51252

  • Job Title:

    Machine Learning,

  • Location:

    Sunnyvale,CA

  • Duration:

    12 Months + Extension

  • Hourly Rate:

    Depending on Experience (DOE)

  • Work Authorization:

    US Citizen, Green Card, OPT-EAD, CPT, H-1B,
    H4-EAD, L2-EAD, GC-EAD

  • Client:

    To Be Discussed Later

  • Employment Type:

    W-2


Job Description :

  • Design and implement technologies that align our models to GM's mission.
  • Apply techniques such as RL, g uidance, and selection to raise the performance of our models and provide a layer safety and reliability.
  • Collaborate with cross-functional teams to integrate & align distillation recipes of Robotics foundation models for onboard driving models.
  • Conduct research and stay updated on the latest advancements in AI frameworks and libraries.
  • Lead projects from ideation to deployment, documenting learnings and best practices along the way.
  • Mentor junior team members and contribute to a culture of knowledge sharing and continuous improvement.
  • Bachelor's, Master's or PhD degree in Computer Science with a focus in Robotics and or Machine Learning, or a related field.
  • Proven experience working with large-scale Foundation Models and alignment methods to translate research into real-world impact.
  • Proven experience delivering applied research in the wild and maintaining best practices while working on tight deadlines.
  • Proficiency in frameworks such as PyTorch and languages such as python.
  • Proven experience in building and scaling large model training pipelines that are performant and enable quick iteration by distributed teams.
  • Strong data processing skills using tools like Numpy , Pandas, and Apache Spark.
  • Excellent communication skills to effectively collaborate with diverse teams and stakeholders.
  • Experience deploying foundation models into production environments and understanding the end-to-end process.
  • Previous experience in Robotics or Autonomous Driving.

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Equal Opportunity Employer

Cloud Hybrid is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. Cloud Hybrid will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will Cloud Hybrid require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract