Machine Learning Engineer

About this role

**This role is open to candidates in Canada with existing work authorization**

We’re looking to hire a foundational machine learning engineer for our SF-based client as they expand our data activation products to include an intelligence layer. While hundreds of companies use their services today to sync data into their SaaS systems to automate and improve operations, there’s a lot of surface area they haven’t touched in helping companies figuring out which customers to message, what content to put in messages, and when to send messages. A lot of this work today is done manually through intuition and guesswork, and they believe that adding machine learning could have a step function impact for their customers. And given their access to data warehouses and databases, they are perfectly placed to make use of a company’s customer data in building a powerful intelligence layer.

As a foundational machine learning engineer, you will help build comprehensive solutions to the above domains from scratch. Responsibilities will be highly varied and include working on customer research, problem definition, predictive modeling, machine learning infrastructure, and partnering with customers.

4 - 8 years of experience in machine learning and software development

Salary

$200k - $260k USD

Equity

Competitive equity

Visa sponsorship available

can sponsor

Remote work policy

North America

Full-time position

About the Company

Their mission is to empower teams to take meaningful action on their data. Through their industry-leading platform, they enable business and data users to seamlessly sync information from data warehouses and databases directly into operational tools and SaaS systems—eliminating the need for manual processes or constant engineering support.

Historically, acting on data has required significant engineering resources, leaving business users stuck with static charts and dashboards. Their platform changes that: with no code, users can activate data in real time to improve marketing performance, streamline internal processes, and drive scalable operations.

They operate with a product-led growth model and serve hundreds of forward-thinking companies—including some of the most recognizable names in tech, fintech, media, and e-commerce. Their customers include global streaming services, major financial platforms, high-growth startups, and iconic sports brands.

The company is headquartered in San Francisco, remote-friendly across North America, and backed by top-tier investors such as Y Combinator, Bain Capital Ventures, ICONIQ Growth, and Amplify Partners.

Their Culture

We’re a team that values:

First-principles thinking — We go deep to understand the root of a problem before acting.

Efficient execution — We move fast and bias toward action.

Kindness and clarity — We collaborate with empathy and communicate with intention.

Ideal teammates are strong communicators with a growth mindset and the persistence to solve hard, meaningful problems that make a tangible difference for our users.