Senior Solutions Engineer - Data & ML

Reposted 25 Days Ago
5 Locations
In-Office
Senior level
Software
A proven Solution for Data and Machine Learning Workflows at Scale
The Role
As a Senior Solutions Engineer, you will support customers in deploying ML applications, ensuring technical success, and enhancing their understanding of Flyte and Union Cloud.
Summary Generated by Built In

About Us

At Union, we are solving one of the hardest challenges in AI infrastructure today: enabling high-velocity iteration while maintaining seamless production-readiness for AI workloads at scale. Flyte, the open-source project we steward, is the emerging standard for modern data and AI orchestration, with numerous leading technology organizations - like LinkedIn, Spotify, and Gojek - running millions of mission-critical workloads on the platform. We have a deep bench of infrastructure veterans from companies in the Big Three and beyond and a technical founding team who originally created Flyte while at Lyft.

The Opportunity

Reporting into our Head of Customer Solutions, you will be responsible for partnering with our customer and internal stakeholders to ensure the technical feasibility and success of Union Cloud PoC’s and production deployments. We are looking for team members who are innately curious, get joy out of solving complex technical problems, and thrive in collaborative, self managed environments. Bonus points if you have been a part of or contributed to the Flyte/Union communities or contribute or other OSS. 

 

In this role, you will:

  • Own technical success of Union Cloud customers’ deployments and use cases by partnering with internal and customer stakeholders..

  • Represent “voice of the user” and bring that user-first mindset across the company.

  • Help Union Cloud users get up and running, and help them debug problems in their workflows. 

  • Empower our customers to attain efficiency, reliability, and repeatability for their ML applications, by educating them on good patterns.

  • Partner with Product and Engineering teams to provide context and insights for feature design, solution and prioritization.

  • Develop, maintain and document representative examples for Union Cloud customers.

  • Learn, contribute to, and champion the Flyte open-source workflow orchestration system (see https://slack.flyte.org), as well as related Union Cloud. 

  • Educate technical users and decision-makers on Flyte and Union Cloud. 

  • Maintain a cadence of communication with customers about their adoption trends, sentiment, and opportunities for deeper engagement.

  • Support retention and adoption efforts of Union Cloud among customers by understanding their technical and business needs and helping them succeed.

  • You will be expected to be in-office (Seattle/Bellevue).

About you

  • Experienced with 5+ years of solving real-world ML problems to help users attain efficiency, reliability, and repeatability for their ML applications.

  • Have solid Python programming and Kubernetes debugging skills. Go experience is plus.

  • You are familiar with public cloud technologies and services, DevOps/MLOps, networking and security principles, etc.

  • Interested in a deeply technical customer facing role involving data and machine learning at scale.

  • Significant experience with hands on machine learning and orchestration, building production-use ML systems in multi-tenant cloud products.

  • In depth understanding of data processing, ML systems, MLOps and Machine Learning infrastructure components.

  • Familiarity with Spark, Airflow, Tensorflow, Pytorch and other ML libraries,, as is a grounding in the fundamentals of distributed systems. 

  • Possess excellent written and verbal communications skills, with a tone that conveys empathy.

  • Have previous experience in a similar role supporting customers’ engineering teams adopting open source and commercial products for data and/or machine learning.

  • It’s a strong plus if you have been a part of or contributed to the Flyte or Union communities through in-person meetups, conferences, workshops, events, electronic forums, or direct open-source development.

Benefits & Belonging

At Union.ai we know that employees who feel their best can build amazing things and we are proud to offer best in class benefits that will continually evolve and grow as the needs of our employees do. Benefits may vary based on country

  • Excellent medical - We pay 100% of your premiums and 90% for your dependents

  • Generous dental and vision plans- We pay 90% of the premiums for you and your dependents

  • Meaningful equity in the form of options – all employees are owners here

  • Unlimited time off + 12 company holidays 

  • 401K match - Union.ai matches 100% of contributions up to the first 3%, and 50% up to 5%

  • 16 weeks paid parental leave for primary and secondary caregivers

  • Flexible work schedule (some restrictions apply)

  • For in office employees: Lunch provided onsite and well stocked kitchen with snacks and drinks.

We believe that our differences are what bring us together to achieve truly special outcomes. We strive to be inclusive and focus on building teams that embody that quality too. Union.ai is an equal-opportunity employer and we encourage you to apply, even if your experience doesn’t align exactly with our job description.

Top Skills

Airflow
DevOps
Distributed Systems
Go
Kubernetes
Mlops
Public Cloud Technologies
Python
PyTorch
Spark
TensorFlow
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The Company
HQ: Bellevue, WA
46 Employees
Year Founded: 2021

What We Do

Join a community, not just a team

Union.ai is the company behind Flyte, the leading machine learning orchestration ecosystem based on Kubernetes. Flyte is deployed in production now at Lyft, Spotify, Gojek and dozens of other companies across various industries.

Why Work With Us

When you join us, you join the community! At Union.ai we care deeply about our open source developer community and recognize the importance of nurturing it as we continue to scale. We want our employees to feel empowered to continually put our customers first as we set out to build scalable infrastructure to support our users.

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