At Weights & Biases, our mission is to build the best developer tools for machine learning. Weights & Biases is a series C company with $200 million in funding and a rapidly growing user base. Our platform is an essential piece of the daily work for machine learning engineers, from academic research institutions like FAIR and UC Berkeley to massive enterprise teams including iRobot, OpenAI, Toyota Research Institute, Samsung, NVIDIA, Salesforce, Blue Cross Blue Shield, Lyft, and more.
Reporting to the VP of Customer Success, the Machine Learning Engineering role will work with the most sophisticated ML teams in the world as they solve the toughest ML problems in computer vision, robotics, natural language processing, and more; you will make their work easier with our tools. This work will expose you to ML teams across multiple industries as you uncover their ML needs, improve their ML workflow, explore how W&B fits into their environment, collaborate on projects, and educate them on the best practices of our product.
This role will partner closely with Customer Success, Support, Product, and Engineering teams to own the technical onboarding and success of our customers, serving as the primary knowledge owner and face to our customers. You'll help drive adoption, understand innovative customer use cases, and serve as the primary problem solver in our customers' machine learning workflows.
This is a perfect opportunity for anyone who has machine learning experience, is customer-oriented, and is looking to work with the top ML companies in the world.
Be an expert in helping our customers leverage Weights & Biases for team collaboration and better visibility into their ML workflows.
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
Expert communication in both written and spoken English and Japanese
Experience using one or more of the following packages: PyTorch, PyTorch Lightning, TensorFlow/Keras, FastAI, Scikit-Learn, Huggingface
Strong programming proficiency in Python and eagerness to help customers who are primarily users of Python deep learning frameworks and tools be successful
Experience in a customer facing technical role (Solutions Engineering, Technical Account Management, etc)
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 DevOps/ML pipeline orchestration tooling (Kubernetes, Docker, Kubeflow, Flyte, Metaflow, Airflow, etc.)
Experience with cloud platforms (AWS, GCP, Azure)
Experience with Linux/Unix
🏝️ 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
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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 firstname.lastname@example.org.