deep learning β’ developer tools β’ machine learning β’ MLOps
51 - 200 employees
Founded 2018
π€ Artificial Intelligence
βοΈ SaaS
β‘ Productivity
π° Corporate Round on 2022-05
6 days ago
πΊπΈ United States β Remote
π΅ $139k - $186k / year
β° Full Time
π Senior
π» Solutions Engineer
π¦ H1B Visa Sponsor
deep learning β’ developer tools β’ machine learning β’ MLOps
51 - 200 employees
Founded 2018
π€ Artificial Intelligence
βοΈ SaaS
β‘ Productivity
π° Corporate Round on 2022-05
β’ We're hiring an AI Solutions Engineer to help our customers solve difficult, real-world problems and engage in ground-breaking research by using our developer tools in their machine learning pipelines. β’ In this role, you'll be working with sophisticated ML teams on tough problems. β’ Focus on engagement with prospective customers evaluating Weights & Biases for their use case. β’ You'll work with ML teams across multiple industries to uncover their ML needs. β’ Collaborate on projects and educate customers on best practices. β’ Responsible for assessing customer technical requirements and demonstrating functionality. β’ Partner with Sales, Support, Product, and Engineering teams for technical success in pre-sales evaluations.
β’ 4-6 years of relevant experience in a similar role β’ Experience using one or more of the following packages: TensorFlow/Keras, PyTorch Lightning β’ Strong programming proficiency in Python and eagerness to help customers who are primarily users of Python deep learning frameworks and tools be successful β’ Excellent communication and presentation skills, both written and verbal β’ Ability to effectively manage multiple conflicting priorities, respond promptly and manage time effectively in a fast-paced, dynamic team environment β’ Ability to break down complex problems and resolve them through customer consultation and execution. β’ Experience with cloud platforms (AWS, GCP, Azure) β’ Experience with Linux/Unix
β’ Flexible time off β’ Medical, Dental, and Vision for employees and Family Coverage β’ Remote first culture with in-office flexibility in San Francisco β’ Home office budget with a new high-powered laptop β’ Truly competitive salary and equity β’ 12 weeks of Parental leave (U.S. specific) β’ 401(k) (U.S. specific) β’ Supplemental benefits may be available depending on your location β’ Explore benefits by country
Apply Now6 days ago
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