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Machine Learning Engineer
Customer Success, Remote
Confirmed live in the last 24 hours
San Francisco, CA, USA
Experience Level
Desired Skills
Google Cloud Platform
Microsoft Azure
  • Experience using one or more of the following packages: TensorFlow/Keras, PyTorch Lightning
  • Strong programming proficiency in Python and eagerness to help customers who are primarily users of Python deep learning frameworks and tools be successful
  • Excellent communication and presentation skills, both written and verbal
  • Ability to effectively manage multiple conflicting priorities, respond promptly and manage time effectively in a fast-paced, dynamic team environment
  • Ability to break down complex problems and resolve them through customer consultation and execution
  • Experience with cloud platforms (AWS, GCP, Azure)
  • Experience with Linux/Unix
  • Top-tier machine learning teams rely on our tools for their daily work at companies including OpenAI, Toyota Research Institute, Lyft, Samsung, and Pandora
  • You'll never stop learning. This role gives you first-hand experience talking with leading researchers in the field, understanding their problems, and directly shaping the product direction
  • Our experienced founding team has successfully built and sold ML tools in the past at Figure Eight, and their deep knowledge of our industry, empathy for our users, and skillful management is driving W&B to success
  • Customers genuinely benefit from our tool. Here's a quote from Wojciech Zaremba, Cofounder and Robotics Lead, OpenAI: "W&B allows to scale up insights from a single researcher to the entire team, and from a single machine to hundreds of them."
  • A best-in-class product in one of the fastest-growing and largest market segments
  • Be an expert in implementing effective, robust, and reproducible machine learning pipelines for engineering teams using Weights & Biases tools
  • Effectively articulate best practices for instrumenting machine learning pipelines to our customers as a trusted advisor
  • Partner with our customers to uncover their desired outcomes and be the trusted advisor to help them realize the full potential of W&B in solving their problem
  • Provide customer training sessions, product demos, and workshops covering best practices & different solutions W&B offers to drive adoption
  • Partner with Customer Success Managers to create processes for the post-sales lifecycle (Onboarding/Training, Adoption, Workshops, Demos, etc.)
  • Collaborate closely with Support, Product and Engineering teams to influence product roadmap based on customer feedback
  • Passion for machine learning: You understand how exciting the ML space is and how quickly it's growing. You're excited to speak with industry leaders at the forefront of ML research and development
  • Outgoing and friendly: You'll love this role if you enjoy connecting with real users every day, helping them adopt the Weights & Biases platform, and answering all of their questions
  • Technically Savvy: You enjoy instrumenting models in PyTorch, Keras, and TensorFlow and understand complicated workflows
  • Autonomous and adaptable: You understand different companies have different workflows, and you're excited to solve these challenges
  • Curious and Driven: You want to understand future customers' ML workflow and prove how Weights & Biases will improve their day-to-day
Desired Qualifications
  • Proficiency with one or more of the following packages: HuggingFace, Fastai, scikit-learn, XGBoost, LightGBM, Ray
  • Experience with hyperparameter optimization solutions
  • Experience with data engineering, MLOps and tools such as Docker and Kubernetes
  • Experience with data pipeline tools
  • Experience as an ML educator and/or building and executing customer training sessions, product demos and/or workshops at a SaaS company
Weight & Biases

201-500 employees

Developer MLOps & visualization platform
Company Overview
Weight & Biases’ mission is to build the best tool for machine learning with their advanced platform that allows models to be built faster with experiment tracking, dataset versioning, and model management. The company is committed to helping machine learning developers in a variety of use cases with their tools that easily integrate and give metrics and visualizations.
  • 🏝️ 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)
Company Core Values
  • Driven
  • Kind
  • Proactive