You and the process

With a person
Anna, in-house recruiter
9 years hiring engineers
30 minutes with a real recruiter
They read your CV with you, on a call, and say where the offers are being lost.
Didn’t find what you were looking for? Tell us what to build
Be the first to open itNo views yet
Attentive

Principal Software Engineer, Machine Learning

  • Office
  • 6+ years

Salary

$350,000 - 430,000/ year

AI summary

For members

The whole posting in a few lines. Sign up to read it here and on every role you open.

Sign Up to Read

Description

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 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.

What You’ll Accomplish

You have a proven track record of building systems that maintain a high bar of quality

You deeply loathe regressions and take proactive steps to protect against them through a variety of testing techniques

You are a collaborator, technical leader, and a great communicator

You are 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

You are enthusiastic about the high impact, fast-paced work environment of an late-stage startup

10+ years experience is ideal

Your Expertise

You have worked professionally building systems for 10+ years with experience on a single system long enough to see the consequences of your decisions

Experience with TensorFlow/Pytorch, xgboost, pandas, matplotlib, SQL, Spark or similar tools

You have proficiency or experience with Python

You have extensive experience using machine learning and data analysis, or similar, to build scalable systems and data-driven products, working with cross-functional teams

You have a proven track record of building scalable, efficient, automated processes for large-scale data analyses, model development, model validation, and model implementation from modern research

You have led cross-functional machine learning projects across teams

What We Use

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

You'll get competitive perks and benefits , from health & wellness to equity, to help you bring your best self to work.

For US based applicants:

The US base salary range for this full-time position is $350,000 - $430,000 annually + equity + benefits

Our salary ranges are determined by role, level and location

LI-EZ-1

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.

If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience.

At Attentive, we know that our Company's strength lies in the diversity of our employees. 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.

Where you’d work

From the office

The office

About the company

Attentive

Office in San Francisco, United States

Also hiring in United States and New York, United States

1 of their 8 open roles is remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 21 checks run
  • 2 red flags

Still hiring?

14 checks

No red flags

How crowded?

7 checks

2 red flags

Fits Me

How well does this role fit you?

Answer a few questions or drop your CV, and every role gets a fit score with the reasons, this one first.

  • Your field
  • Level
  • Stack
  • Work model
  • Salary floor
  • Must-haves
Details12 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • SQL
  • PostgreSQL
  • AWS
  • Kubernetes
  • PyTorch
  • Spark
  • TensorFlow
Seniority
Principal
Type
Full-time
Equity
Equity offered
Specialty
ML
Region
United States
Show 6 more factsShow less

Role

Category
Data & Analytics
Specialty
ML
Seniority
Principal
Experience
10+ years
Tech stack
  • Python
  • SQL
  • PostgreSQL
  • AWS
  • Kubernetes
  • PyTorch
  • Spark
  • TensorFlow

Location

Work model
Office
Region
United States
Office
  • San Francisco, United States

Compensation

Salary
$350,000 - 430,000 / year
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

Something wrong with this vacancy?

Similar vacancies

  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Data & AI Engineer Intern

    Salary by agreement

    • Hybrid · Paris
    • Junior
  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    AI Engineer

    $80,000 - 210,000 / year

    • Office · CA, Austin
    • Senior
  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Senior AI/ML Engineer

    $200,000 - 260,000 / year

    • Office · San Francisco
    • Senior
  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Member of Technical Staff, ML Infra

    Salary by agreement

    • Office · San Francisco
    • Senior

Share this vacancy

What's wrong with it?

The employer never sees who reported.

Reason