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About the Role

Our Machine Learning Engineering team powers personalized experiences for hundreds of millions of customers across thousands of brands. As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform. You will operate with a high degree of ownership, partner closely with Product and Engineering, and help raise the technical bar across our ML systems in a fast-paced, high-impact environment.

Responsibilities

Build, scale, and operate production-grade ML systems.
Drive real-time personalization across the Attentive platform.
Operate with a high degree of ownership.
Partner closely with Product and Engineering.
Raise the technical bar across ML systems.
Maintain a high bar of quality in built systems.
Protect against regressions through testing techniques.
Improve project quality via direct contributions and advocacy for larger-scale changes.
Build scalable systems and data-driven products.
Build scalable, efficient, automated processes for large-scale data analyses, model development, model validation, and model implementation.
Lead cross-functional machine learning projects across teams.

Requirements

Proven track record of building systems that maintain a high bar of quality.
Deeply loathe regressions and take proactive steps to protect against them through a variety of testing techniques.
A collaborator, technical leader, and a great communicator.
Constantly improving the quality of the project you are working on, both via direct contributions as well as long-term advocacy for larger-scale changes.
Enthusiastic about the high impact, fast-paced work environment of an late-stage startup.
Worked professionally building systems for 10+ years with experience on a single system long enough to see the consequences of your decisions.
Extensive experience using machine learning and data analysis, or similar, to build scalable systems and data-driven products, working with cross-functional teams.
Proven track record of building scalable, efficient, automated processes for large-scale data analyses, model development, model validation, and model implementation from modern research.
Led cross-functional machine learning projects across teams.

Skills

TensorFlow/Pytorch
xgboost
pandas
matplotlib
SQL
Spark
Python
Machine learning
Data analysis
Kubernetes
AWS EKS
Istio
Datadog
Terraform
CloudFlare
Helm
Java
Spring Boot
Gradle
DynamoDB
Kinesis
AirFlow
Postgres
Planetscale
Redis
React
TypeScript
GraphQL
Storybook
Radix UI
Vite
esbuild
Playwright
Metaflow
HuggingFace 🤗

Location

New York City
San Francisco
London
Sydney

Work Type

Full-time

Experience Level

Senior
10+ years experience

Salary/Compensations

$350,000 - $430,000 annually

Benefits

Competitive perks and benefits, from health & wellness to equity

About the Company

Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect.
We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships.
By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights.
Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries.
Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers.
With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture.
We’re proud to be included in Deloitte’s Fast 500 (four years running!), LinkedIn’s Top Startups, Forbes’ Cloud 100 (five years running!), Inc.’s Best Workplaces, and the Human Rights Campaign Foundation's Corporate Equality Index!
Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS.
Infrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and Helm.
Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Kinesis, AirFlow, Postgres, Planetscale, and Redis, hosted via AWS.
Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright.
Our automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas.
Attentive Company Values: Default to Action - Move swiftly and with purpose.
Be One Unstoppable Team - Rally as each other’s champions.
Champion the Customer - Our success is defined by our customers' success.
Act Like an Owner - Take responsibility for Attentive’s success.
Learn more about AWAKE, Attentive’s collective of employee resource groups.

Equal Opportunity

Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds.
Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics.
We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation.
Attentive is also committed to providing reasonable accommodations for candidates with disabilities.
If you need any assistance or reasonable accommodations, please let your recruiter know.