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Senior Software Engineer, Ml Platform

Company

SambaNova Systems

Address Palo Alto, CA, United States
Employment type FULL_TIME
Salary
Category Computer Hardware Manufacturing
Expires 2023-08-12
Posted at 10 months ago
Job Description
The third era of AI has arrived, powered by Generative AI. Generative AI is achieving step-function increases in scale, versatility, and accuracy compared to legacy AI technologies, presenting an opportunity for organizations to fundamentally transform their business and operations.


SambaNova Suite™ is enabling organizations and enterprises to achieve the transformative promise of these new AI technologies with a fully integrated hardware-software system that delivers innovation across the full AI stack, including the most accurate generative AI models, optimized for enterprise and government. This creates the AI backbone for the next 10 years and beyond.


SambaNova is hiring a Senior Software Engineer, ML Platform, to join the SambaStudio team. SambaStudio is a rich platform that enables AI developers to train, deploy, and manage state-of-the-art machine learning models (like GPT) through a rich UI, API, and SDK.


This individual will be responsible for:


  • Stay up-to-date with the latest developments in the field of machine learning and identify opportunities to incorporate new techniques and technologies into our solutions
  • Collaborate with machine learning scientists, research engineers, hardware accelerator engineers, software engineers, and product managers to operationalize the delivery of foundational models
  • Standardize model building and usage process by defining right interfaces and building services to manage ML model lifecycle
  • Contribute to the testing, validation, and monitoring of models in production
  • Build pipelines for data collection, cleansing, processing, feature extraction, etc.
  • Stay up-to-date with the latest open-source large language models
  • Build and maintain pipelines for model building, tuning, validation, packaging and delivery


Basic Qualifications


  • Basic familiarity with machine learning algorithms and tools (e.g., PyTorch, TensorFlow, Keras)
  • This role is on-site/hybrid and requires working in Palo Alto at least three days a week.
  • 4+ years of experience in software development
  • Bachelor's or Master’s degree in Computer Science, Statistics, Mathematics, or related field


Additional Required Qualifications


  • Strong programming skills in Python, OOP concepts, and experience contributing to production-grade large codebases
  • Familiarity with software engineering principles and best practices
  • Experience with Docker and Kubernetes
  • Experience of tuning and delivering LLMs like GPT, LaMDA, BERT, etc.


Preferred Qualifications


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


Annual Salary Range and Level


The base salary for this position ranges from $170,000.00/year up to $210,000.00/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, 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 we 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 AI capabilities to meet the demands of the AI-enabled world. Our purpose-built enterprise-scale AI platform is the technology backbone for the next generation of AI computing. We enable customers to unlock the valuable business insights trapped in their data. Our flagship offering, SambaNova Suite™, provides the most accurate generative AI models, optimized for enterprise and government organizations, deployed on-premises or in the cloud, and adapted with an organization’s data for greater accuracy


Headquartered in Palo Alto, California, SambaNova Systems was founded in 2017 by industry luminaries, that include 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 sambanova.ai or contact us at [email protected]. Follow SambaNova Systems on LinkedIn.