Staff Applied Machine Learning Scientist, GrowthLoop

CA$200-250k

$180,000 to $230,000 USD + Meaningful variable component and equity in the company

AWS

GCP

Spark

Flow

Senior and Expert level

Remote from Canada, US

No-code data activation platform

Be an early applicant

No-code data activation platform

21-100 employees

B2BEnterpriseMarketingAnalyticsSaaSAdvertisingCloud Computing

Be an early applicant

CA$200-250k

$180,000 to $230,000 USD + Meaningful variable component and equity in the company

AWS

GCP

Spark

Flow

Senior and Expert level

Remote from Canada, US

21-100 employees

B2BEnterpriseMarketingAnalyticsSaaSAdvertisingCloud Computing

Company mission

To enable all teams to access customer data in the data warehouse and transform their data warehouses into enterprise growth engines.

Job

Company

Role

Who you are

You are a seasoned applied machine learning scientist (6+ years solving real-world ML problems) with deeply held perspectives on modeling techniques, data workflows, and the infrastructure that unlocks world-class ML systems
Your opinions are rooted in experience—trial, error, and relentless iteration—and they make you surgically effective at building models that actually move the needle
While you are deeply knowledgeable about LLMs and agents (and getting tired of explaining AI to your friends) you aren't here to just “talk to the LLM.” You build and deploy models that matter—real-time, low-latency systems powered by massive feature stores that serve predictions in the critical path for the world’s biggest enterprises
You work where modeling meets engineering, and you're driven by one thing: making machine learning deliver actual value in production
You’ve wrangled your share of Spark jobs, tuned XGBoost until your eyeballs hurt, and carried a real-time model from notebook to uptime SLA
You are a technical leader
You guide ML engineers and cross-functional peers by sharing your insights, offering principled critiques, and demonstrating the courage to make the hard calls
You celebrate your team’s wins as much as your own
You mentor through code reviews and modeling walkthroughs
You thrive in the flow state—those moments where a thorny modeling challenge untangles in your mind, and you can just build
You don’t believe in ivory towers
When data quality is a mess, you dive in
When your model doesn’t work in production, you debug the pipeline, the feature store, and the service endpoint until it does
You're insatiably curious
New modeling techniques
Let’s test them
Advances in streaming architectures
You're already thinking about integration points
You read papers, try repos, and turn research into production-ready code
You’ve deployed ML to AWS, GCP, or both, and know what it takes to make a model fast, scalable, and maintainable
We’re not looking for someone to prompt their way to mediocre answers
We’re looking for someone who can model the hard stuff—fast decisions, messy data, and enterprise-scale expectations

What the job involves

Continuously measure and optimize the effectiveness of marketing campaigns depending on goal and audiences
Realtime Support: Contribute to and develop an architecture for enabling real-time capabilities in micro-cohort analysis
Simulate micro-cohorts and individual reactions before executing campaigns
Optimize creative selection, messaging, and promotions for individual customers

Our take

GrowthLoop’s no-code data interface allows enterprises to unlock first-party customer data stored in their own warehouses and quickly create target customer segments for more impactful marketing, advertising, and sales.

One of the major challenges for companies these days is to effectively activate the data they gather. Thus, a solution like GrowthLoop’s has the potential to turn data warehouses into growth engines without having to use external Customer Data Platforms.

The company, which until 2022 was built without any capital investment, has an impressive client list which includes Google Cloud, Indeed, NASCAR and the Boston Red Sox. Funds raised in 2022 allowed GrowthLoop to expand its services and invest in new features for the platform - such as a first-of-its-kind AI audience builder, a GenAI Marketing solution in partnership with Google Cloud and Typeface and a cross-channel journey builder for the data cloud.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Glassdoor (4.5)

Company

Company benefits

Remote-friendly environment
Flexible PTO
Healthcare Coverage
Learning and development opportunities and stipend
Monthly Recharge days
401(k) matching 🇺🇸

Company HQ

SoMa, San Francisco, CA

Leadership

Christopher Sell

(Co-CEO)

Previously worked in Product Marketing at Google. Former Head of Product at URX (Acquired by Pinterest), which helps mobile web publishers show users relevant sponsored content from within apps.

David Joosten

(Co-CEO)

Former Product Marketing Manager at Google. Prior to Flywheel Software, co-founded and was CEO of Metria Analytics - a startup which provides business insights and media measurement through transactional data.

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