Union.ai

Senior Solutions Engineer - Data & ML

United States

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$104,100 – $200,600Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Data & ML Infrastructure, Cloud ComputingIndustries

Requirements

Candidates should possess at least 5 years of experience solving real-world machine learning problems to help users attain efficiency, reliability, and repeatability for their ML applications, with strong Python programming skills and familiarity with public cloud technologies and services, DevOps/MLOps, networking, and security principles. Experience with Java and/or Scala is considered a plus.

Responsibilities

As a Senior Solutions Engineer, you will own the technical success of Union Cloud customers’ deployments and use cases by partnering with internal and customer stakeholders, representing the “voice of the user,” helping Union Cloud users get up and running and debug problems in their workflows, empowering customers to attain efficiency, reliability, and repeatability for their ML applications through education, developing and maintaining representative examples, learning and contributing to the Flyte open-source workflow orchestration system, educating technical users and decision-makers on Flyte and Union Cloud, maintaining a cadence of communication with customers about their adoption trends, and supporting retention and adoption efforts.

Skills

Python

Java

Scala

Cloud Technologies

DevOps

MLOps

Networking

Security

Data Processing

Machine Learning

Orchestration

Multi-tenant Cloud

OSS Contributions

Union.ai

Managed platform for ML and data orchestration

About Union.ai

Union.ai offers a managed platform for machine learning (ML) and data pipeline orchestration, with its main product, Flyte, designed to handle complex workflows using Python code. Union Cloud simplifies the deployment and management of Flyte, allowing ML engineers and data scientists to focus on their work without worrying about infrastructure. The company serves a range of clients, including large enterprises, and operates on a subscription-based model for its services. Union.ai's goal is to accelerate ML projects by automating processes involved in model development and deployment, resulting in faster time-to-market.

Key Metrics

Bellevue, WashingtonHeadquarters

2021Year Founded

$28.3MTotal Funding

SERIES_ACompany Stage

Data & Analytics, AI & Machine LearningIndustries

51-200Employees

Risks

Increased competition from platforms like Apache Airflow and Prefect.

Potential over-reliance on partnerships may limit flexibility and innovation.

Emerging AI regulations could impose additional compliance costs and challenges.

Differentiation

Union.ai's Flyte platform handles workflows with over 10,000 CPUs, showcasing scalability.

Union Cloud abstracts infrastructure, allowing ML engineers to focus on core tasks.

Flyte's open-source origin from Lyft ensures community-driven innovation and adoption.

Upsides

Collaboration with NVIDIA Inception enhances Flyte's capabilities and performance.

AI toolkit market growth aligns with Union.ai's focus on ML orchestration.

$19.1M Series A funding supports Union Cloud expansion and customer reach.

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