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PhD/Senior Machine Learning Engineer

Company: SambaNova Systems
Location: Palo Alto
Posted on: June 7, 2024

Job Description:

The era of pervasive AI has arrived. - In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale.
SambaNova Suite--- is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. The ML team is responsible for driving innovation in models and algorithms that run on the SambaNova platform. This scope encompasses cutting edge applied research as well as productizing, deploying, and designing deep learning applications.
You will be responsible for:

  • Enabling deep learning models in computer vision and natural language processing on SambaNova hardware. -
  • Staying in touch with state of the art research and providing feedback on technical decisions within the team.
  • Maintaining quality software and working on a project end-to-end. You will be expected to run deep learning experiments as well as productize your code for customer deployment.

    Basic Qualifications:

    • PhD degree in engineering or science fields
    • 2-4 years of hands-on engineering experience in machine learning
    • Experience in Python and/or C++
    • Experience with one or more deep learning frameworks like TensorFlow, PyTorch, Caffe2, or Theano
    • Familiarity with working in a SW engineering team, and using productivity tools such as Git and Docker
    • Experience debugging neural network behavior in a research environment. Demonstrating good experimental hygiene and analysis
    • Clear communicating your work to subject matter experts, as well as communicating to members outside of the team

      Additional Required Qualifications

      • A deep theoretical or empirical understanding of deep learning
      • Experience building and deploying machine learning models
      • Strong analytical and debugging skills

        Preferred Qualifications

        • Experience working in a high-growth startup
        • A team player who demonstrates humility
        • Action-oriented with a focus on speed & results
        • Ability to thrive in a no-boundaries culture & make an impact on innovation

          Annual Salary Range and Level
          The base salary for this position ranges from $140,000/year up to $165,000/year. This range is based on role, level, and location and reflects the salary target for new hires in the US. Individual pay within the range will depend on a number of factors, including a candidate's job-related qualifications, skills, competencies and experience, and location.

          Benefits Summary
          SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 80% premium coverage for dependents and offer a Health Savings Account(HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account(FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits includes a full subscription to Headspace, access to One Medical, counseling services with an Employee Assistance Program, and much more.
          Submission Guidelines
          Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. -
          If you are a new, recent (within the last two years), or upcoming college graduate and are interested in opportunities with SambaNova Systems, please apply through our university job listings.

          EEO Policy
          SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.

          Customers turn to SambaNova to quickly deploy state-of-the-art generative AI capabilities within the enterprise. Our purpose-built enterprise-scale AI platform is the technology backbone for the next generation of AI computing.

          Headquartered in Palo Alto, California, SambaNova Systems was founded in 2017 by industry luminaries, and hardware and software design experts from Sun/Oracle and Stanford University. Investors include SoftBank Vision Fund 2, funds and accounts managed by BlackRock, Intel Capital, GV, Walden International, Temasek, GIC, Redline Capital, Atlantic Bridge Ventures, Celesta, and several others. Visit us at Follow SambaNova Systems onLinkedin.

Keywords: SambaNova Systems, Palo Alto , PhD/Senior Machine Learning Engineer, Engineering , Palo Alto, California

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