Full-Time

AI Engineer

GenAI Enterprise Accelerator, San Francisco, Hybrid

Confirmed live in the last 24 hours

Weight & Biases

Weight & Biases

201-500 employees

AI platform for model development and management

Enterprise Software
AI & Machine Learning

Compensation Overview

$182k - $248kAnnually

Mid

San Francisco, CA, USA

This role is hybrid with occasional travel to meet with customers.

Category
Applied Machine Learning
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Microsoft Azure
Python
JavaScript
Git
Pytorch
AWS
Pandas
LangChain
NumPy
Linux/Unix
Google Cloud Platform
Requirements
  • Based in the San Francisco Bay Area. This role will be hybrid with occasional travel to meet with customers
  • 3-5 years of relevant experience in similar roles, ideally working with enterprise clients or on large-scale machine learning projects.
  • Strong experience with Python and JavaScript, and a track record of success working with enterprise clients to solve technical challenges.
  • Excellent communication skills, with the ability to explain complex technical concepts clearly to both technical and non-technical stakeholders.
  • Experience working in cloud environments (AWS, GCP, Azure) and knowledge of Linux/Unix systems.
  • Expertise with Transformers, PyTorch, Numpy, and Pandas, alongside strong software development best practices.
  • Experience with new LLM/AI tools (Llamaindex, Copilot/Cursor, vector databases, Langchain, instructor, outlines, ...) and techniques.
  • Experience with version control systems like Git, automated testing, and CI/CD pipelines.
  • Demonstrated experience building AI apps in production
  • A strong drive to stay ahead of the curve with GenAI research and apply those insights to help enterprises build real-world applications.
Responsibilities
  • Lead GenAI Implementations: Design, build, and optimize GenAI pipelines for enterprise clients, helping them integrate W&B tools to unlock the full potential of LLMs in their operations.
  • Hands-On Problem Solving: Partner with teams to understand their challenges and deliver technical solutions that meet their specific needs while navigating the complexities of productionizing GenAI.
  • Guide GenAI Adoption: Serve as a key advisor to help companies successfully implement GenAI at scale, ensuring smooth onboarding and continued success through W&B best practices.
  • Stay on the Cutting Edge: Keep up with the latest advancements in GenAI, bringing that knowledge to bear as you help enterprises push the boundaries of what’s possible with AI.
  • Customer-Centric Development: Provide continuous feedback to W&B’s product team, influencing the development of features based on real customer needs, challenges, and successes.
  • Develop Scalable AI Systems: Collaborate with customers to design robust, scalable systems that leverage LLMs, from proof of concept through full production deployment.

Weights & Biases provides a platform designed to help AI developers create more efficient models quickly. The platform includes tools for tracking experiments, managing machine learning workflows, evaluating model performance, and reproducing models. It also supports version control and allows for iterative work on datasets. This enables AI teams to conduct more experiments than they could without the platform, significantly boosting their productivity. Weights & Biases operates on a software-as-a-service model, where clients pay a subscription fee to access its features, ensuring a steady revenue stream. The company stands out in the growing AI and machine learning market by offering a comprehensive suite of tools that simplify and accelerate the development process for AI and ML teams.

Company Stage

N/A

Total Funding

$243.2M

Headquarters

San Francisco, California

Founded

2017

Growth & Insights
Headcount

6 month growth

4%

1 year growth

8%

2 year growth

21%
Simplify Jobs

Simplify's Take

What believers are saying

  • Winning the Google Cloud Technology Partner of the Year Award for Generative AI underscores W&B's industry leadership and potential for continued growth.
  • Partnerships with industry giants like NVIDIA and participation in initiatives like the NAIRR pilot program highlight W&B's influence and commitment to advancing AI research and applications.
  • The platform's ability to support scalable and customizable AI applications makes it highly attractive to enterprises looking to deploy domain-specific AI solutions.

What critics are saying

  • The rapidly evolving AI and ML landscape requires W&B to continuously innovate to stay ahead of competitors.
  • Dependence on partnerships with major tech companies like NVIDIA and Google Cloud could pose risks if these relationships were to change or end.

What makes Weight & Biases unique

  • Weights & Biases offers a comprehensive suite of tools for AI and ML developers, including experiment tracking, workflow management, and model performance evaluation, which sets it apart from competitors who may focus on narrower aspects of the development process.
  • The platform's integration with leading technologies like NVIDIA NIM and Google Cloud enhances its appeal by providing seamless access to high-performance computing resources and advanced AI capabilities.
  • W&B's SaaS model ensures recurring revenue and long-term client engagement, unlike one-time purchase models that may not foster ongoing customer relationships.

Help us improve and share your feedback! Did you find this helpful?

Benefits

🏝️ Unlimited vacation time

🩺 100% Medical, Dental, and Vision for employees and Family Coverage

🏠 Remote first culture with in-office flexibility in San Francisco

💵 $1000 home office budget with new high-powered laptop

🥇 Truly competitive salary and equity

🚼 12 weeks of Parental leave

📈 401(k)