Machine Learning Engineer, Customer Success - Germany (Remote)
Berlin
Applications have closed
Weights & Biases
WandB is a central dashboard to keep track of your hyperparameters, system metrics, and predictions so you can compare models live, and share your findings.Reporting to the VP of Customer Success, the MLE-CS II Germany 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.
The MLE - CS II Germany 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.
Responsibilities:
- 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
Requirements:
- 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
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
#LI-Remote
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow AWS Azure Computer Vision Deep Learning DevOps Docker Engineering fastai GCP HuggingFace Keras Kubeflow Kubernetes Linux Machine Learning NLP OpenAI Pipelines Python PyTorch Research Robotics Salesforce Scikit-learn TensorFlow Weights & Biases
Perks/benefits: Career development Competitive pay Equity Flex vacation Gear Health care Medical leave Parental leave
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