Customer Success Junior ML Engineer, Onboarding Specialist
Remote
The Opportunity
AI is rapidly changing the world. From processing job applications and credit decisions, to making content recommendations and helping researchers analyze genetic markers at scale -- many aspects of our daily lives are touched by machine learned systems in some way.Â
Arize is the leading machine learning observability platform to help ML teams discover issues, diagnose problems, and improve the results of machine learning models. In short: we are here to build world class software that helps make AI work better. Â
The Team
Our engineering team builds systems that interact with some of the most complex software ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more.Â
We are looking for a client-obsessed ML Solutions Engineer with entrepreneurial tendencies to join the good fight and help build out our Solutions Engineering org. Youâll be the trusted technical advisors for our customers, driving business value, offering advice, and growing accounts. Youâll accomplish this by leading customers to solutions oftentimes by teaching the product to new users or consulting on best practices. You must be ready for technical discussions with data scientists and engineers, then demonstrate the value of Arize in business discussions with directors and executives. The goal is to enable our customers to become successful and enthusiastic about Arize.
What Youâll Do
- Collaborate closely with new Arize customers as they onboard onto Arize. You will work with customers to advise on:
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Arize use cases
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Data integration methods
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ML observability and MLOps best practices
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You will act as a trusted advisor to our customers, while also building relationships with technical stakeholders
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You will act as the âVoice of the Customerâ - Regularly engaging them on status calls, educating on product roadmap and QBRs, managing escalations, while influencing our roadmap in partnership with our Product team
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Interface with our pre-sales engineering team to gather client goals and KPIâs for onboarding
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Collaborate with Customer Success Engineers to understand and execute against the overall goals for the onboarding accounts
What Weâre Looking For
- 1-2 years experience in a customer facing role
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Experienced cloud computing environments (AWS, Azure, GCP)
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Experienced in a programming language (Python, R, Java, Go, etc), and SQL
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Knowledge of machine learning frameworks such as TensorFlow, PyTorch or Scikit-learn
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Understanding of ML/DS concepts, model evaluation strategies and lifecycle (feature generation, model training, model deployment, âŚ
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RestrictionsFully remote position
Benefits/Perks401(k) Plan Competitive equity package Dental Generous parental leave Medical Unlimited Paid Time Off Vision
SkillsAWS Azure GCP Go Java Machine Learning Python PyTorch R Scikit-learn SQL TensorFlow
Experience1-2 years