Machine Learning Engineer

Posted 9 Days Ago
Palo Alto, CA
Mid level
Artificial Intelligence • Hardware • Machine Learning • Natural Language Processing • Software • Semiconductor • Generative AI
SambaNova is the #1 platform for business AI.
The Role
The Machine Learning Engineer at SambaNova will be responsible for enabling large language and multi-modal models on SambaNova hardware, staying updated with research, developing quality software, and working on projects end-to-end. Basic qualifications include a BS+ degree in engineering or science fields, 2-4 years of hands-on engineering experience in machine learning, proficiency in Python and/or C++, experience with deep learning frameworks, familiarity with SW engineering and productivity tools, and strong communication skills. Additional qualifications include a deep understanding of deep learning, experience in building and deploying ML models, and strong analytical and debugging skills. Preferred qualifications include experience in high-growth startups, teamwork abilities, action-oriented mindset, and innovation impact.
Summary Generated by Built In

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 large language and multi-modal models 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:

  • BS+ 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 $130,000/year up to $155,000/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.


Benefits Summary for US-Based Full-Time Direct Employment Positions

(The Recruiter will provide benefit details for non-US-based roles)

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 77% 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 available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, 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.

Top Skills

C++
Python
The Company
HQ: Palo Alto, CA
500 Employees
Hybrid Workplace
Year Founded: 2017

What We Do

AI is changing the world and at SambaNova, we believe that you don’t need unlimited resources to take advantage of the most advanced, valuable AI capabilities - capabilities that are helping organizations explore the universe, find cures for cancer, and giving companies access to insights that provide a competitive edge.

We deliver the world’s fastest and only complete AI solution for enterprises and governments with world-record inference performance and accuracy. Powered by the SambaNova SN40L Reconfigurable Dataflow Unit (RDU), organizations can build a technology backbone for the next decade of AI innovation with SambaNova Suite. Our fully integrated hardware-software system, DataScale®, enables organizations to train, fine-tune, and deploy the most demanding AI workloads using the largest and most challenging models. Most recently, with the launch of our newest offering, SambaNova Cloud, developers can supercharge AI-powered applications on Llama 3.2 models.

SambaNova was founded in 2017 in Palo Alto, California, by a group of industry luminaries, business leaders, and world-class innovators who understand AI. Today, we’ve built an incredibly smart and motivated team dedicated to making a lasting impact on the industry and equipping our customers to thrive in the new era of AI.

Why Work With Us

As a talent first company, we aim to hire the greatest and most innovative minds in the industry- driving the next generation of AI computing where no barrier is too high and the possibilities are truly limitless. We encourage our peers to take risks and take the initiative to make a lasting impact on the AI and ML industries.

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