Machine Learning Engineer, Weights & Biases

Customer Success, German Speaker

Salary not provided

AWS

Docker

Kubernetes

GCP

Python

Linux

Airflow

Tensorflow

Azure

Scikit-Learn

Kubeflow

PyTorch

Keras

Unix

Junior, Mid and Senior level

Berlin

‍MLOps platform for developers

Job no longer available

‍MLOps platform for developers

201-500 employees

B2BArtificial IntelligenceInternal toolsVisualisationMachine LearningSaaS

Job no longer available

Salary not provided

AWS

Docker

Kubernetes

GCP

Python

Linux

Airflow

Tensorflow

Azure

Scikit-Learn

Kubeflow

PyTorch

Keras

Unix

Junior, Mid and Senior level

Berlin

201-500 employees

B2BArtificial IntelligenceInternal toolsVisualisationMachine LearningSaaS

Company mission

Weights & Biases's mission is to build the best tools for machine learning.

Job

Company

Role

Who you are

Fluent in German
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

What the job involves

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

Our take

Weights & Biases (W&B) builds development tools for machine learning, helping businesses to create and use deep learning models. For deep learning to work, companies must be able to monitor how models are behaving as they are trained. With over 200,000 customers, W&B has differentiated itself from competitors such as IBM Watson Studio and Valohai by focusing exclusively on machine learning practitioners and not on sales aspects of the technology, and by its competitive pricing.

The company has also launched a product to help different parties collaborate on machine learning models. This is geared towards researchers, reducing the need to rerun their training examples. Over time, this will help machine learning technology evolve. What's more, W&B's technology is free for personal and academic use, which has fueled adoption enormously, and it is now being used by research institutions such as UC Berkeley and enterprise companies like Samsung and Salesforce.

Dependence on machine learning is rising as more businesses use it to handle business tasks. Having raised substantial funding, W&B is moving to further develop its product, grow its team and increase its marketing reach.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

31% employee growth in 12 months

Glassdoor (4.2)

Company

Funding (last 2 of 5 rounds)

Aug 2023

$50m

LATE VC

Oct 2021

$135m

SERIES C

Total funding: $250m

Company benefits

🏝️ Unlimited vacation time
🩺 100% Medical, Dental, and Vision for employees and Family Coverage
🏠 Remote first culture with in-office flexibility in San Francisco
💵 $500 home office budget with new high-powered laptop
🥇 Truly competitive salary and equity
🚼 12 weeks of Parental leave
📈 401(k)

Company HQ

Mission District, San Francisco, CA

Leadership

Chris Van Pelt

(Co-Founder & CISO)

Earned a BA in Computer Science at Hope College. Previously Lead Engineer and Founder of Figure Eight (acquired by Appen).

Shawn Lewis

(Co-Founder & CTO)

Earned his BS in Computer Engineering at Virginia Tech. Previously Engineer at Google and Founder at Beep Networks.

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