IT Support Specialist - US (On-site)

Posted 7 Days Ago
Be an Early Applicant
San Francisco, CA
110K-129K Annually
Mid level
Machine Learning • Software
The Role
As an IT Support Specialist at Weights & Biases, you will provide IT support for applications and services, manage device lifecycles, assist with talent onboarding, and uphold compliance standards while fostering a collaborative culture. You will be instrumental in delivering exceptional service for both on-site and remote employees.
Summary Generated by Built In

At Weights & Biases, our mission is to build the best tools for AI developers. We founded our company on the insight that while there were excellent tools for developers to build better code, there were no similarly great tools to help ML practitioners build better models. Starting with our first experiment tracking product, we have since expanded our solution into a comprehensive AI developer platform for organizations focused on building their own deep learning models and generative AI applications.


Weights & Biases is a Series C company with $250M in funding and over 200 employees. We proudly serve over 1,000 customers and more than 30 foundation model builders including customers such as OpenAI, NVIDIA, Microsoft, and Toyota.


As a key member of our IT team, reporting to the IT Manager and working out of our San Francisco headquarters, you will play a vital role in shaping and supporting our day-to-day IT support operations. You’ll serve as the go-to expert for IT support and in-office technical needs, empowering Weights & Biases employees with the tools, resources, and access they need to excel in their roles.


This individual contributor role offers the opportunity to tackle complex problems and grow their skills and career while working in a dynamic fast-paced startup environment. With our commitment to the Zero Trust Security model and SOC2 Type2 compliance, we uphold high standards for IT, security, operational excellence. If you thrive on working with tight-knit teams and have the skills to be an IT MacGyver, we’d love to hear from you.

Responsibilities:

  • Application and Service Support: Deploy and support new applications and services for our global employee base, enabling the creation of exceptional products that shape the future of the AI industry.
  • IT Support Excellence: Act as the cornerstone of our IT support team, delivering unparalleled service and support to our internal customers.
  • Process Improvement: Collaborate with your IT colleagues to drive process enhancements and address challenges throughout Weights & Biases.
  • Device Lifecycle Management: Oversee device lifecycle activities to ensure our users are equipped with devices that meet their business needs.
  • Talent Onboarding: Partner with our people and engineering teams to facilitate the onboarding of top industry talent.
  • Documentation Development: Create runbooks and documentation to assist users in adopting new tools and features effortlessly.
  • Local Office Support: Provide comprehensive IT support for our San Francisco office, including network management, video conferencing, dashboarding, and AI community events. We foster a collaborative culture where learning is mutual!
  • IT Asset Management: Skillfully manage our fleet of IT assets using modern MDM solutions.
  • Regulatory Compliance Support: Assist our exceptional Security and Compliance teams with IT regulatory compliance initiatives.
  • Growth and Enjoyment: Experience significant growth and enjoyment as you contribute to our vibrant team culture!

Requirements:

  • A minimum of 3 years in an IT support-focused role.
  • A commitment to delivering outstanding in-person and remote customer service to our hybrid user base.
  • Familiarity with administering Okta (or other IDP platforms), Kandji (or other MDM platforms), and Google Workspace in an enterprise setting.
  • Experience managing vendor relationships and IT purchases.
  • A fundamental understanding of networking concepts such as DHCP, Subnets, and VLANs.
  • Confidence in supporting conference rooms and audio-visual technology for all hands and community events at our SF office.
  • A passion for thriving in a fast-paced, dynamic startup environment.
  • Self-motivated and proactive, with the ability to work independently while also collaborating effectively with others.
  • Willingness to ask questions and engage in constructive conversations to enhance team performance.
  • Ability to work from our San Francisco HQ.

Strong plus:

  • OKTA Certified Administrator
  • Apple Certified Support Professional
  • Experience with SOC2 compliance and Audits
  • Kandji Certified Admin

Our Benefits:

  • 🏝️ Flexible time off
  • 🩺 Medical, Dental, and Vision for employees and Family Coverage
  • 🏠 Remote first culture with in-office flexibility in San Francisco
  • 💵 Home office budget with a new high-powered laptop
  • 🥇 Truly competitive salary and equity
  • 🚼 12 weeks of Parental leave (U.S. specific)
  • 📈 401(k) (U.S. specific)
  • Supplemental benefits may be available depending on your location
  • Explore benefits by country

We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will flourish with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out at [email protected].


#LI-Remote

Top Skills

Okta,Kandji,Google Workspace
The Company
HQ: San Francisco, CA
132 Employees
On-site Workplace
Year Founded: 2017

What We Do

Weights & Biases helps machine learning teams build better models faster. With a few lines of code, practitioners can instantly debug, compare and reproduce their models — architecture, hyperparameters, git commits, model weights, GPU usage, and even datasets and predictions — and collaborate with their teammates.

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