Joblaze summary

In this role, the Staff Software Engineer for Machine Learning at Attentive Mobile will focus on developing and maintaining production-grade machine learning systems that enhance real-time personalization for a vast customer base. The position requires expertise in tools like TensorFlow, PyTorch, and Python, along with a strong background in building scalable data-driven products. Ideal candidates will have over a decade of experience and a collaborative mindset, suited for a fast-paced, late-stage startup environment. Attentive's culture emphasizes teamwork and customer success, making it a dynamic place for technical leaders.

Joblaze insights

Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Attentive Mobile's careers page October 27, 2026.
This exact title is also open at 1 other location at Attentive Mobile: New York, NY (Hybrid).
Salary band is above the typical range for AI/ML roles (median ~$190,000).
Starts above 77% of 97 comparable staff ai/ml roles in United States that list Python we track (median $228,000 across 40 companies). See Python salary trends
Python appears in 48.9% of 282 comparable staff ai/ml roles in United States; PlanetScale appears in 0.4% of 282 comparable staff ai/ml roles in United States.

Quick facts

Is the Staff Software Engineer, Machine Learning role remote?: It's hybrid — Attentive Mobile expects some on-site time in San Francisco, CA (Hybrid).
What's the salary range?: Attentive Mobile lists $320,000–$360,000 for this role.
How much experience is required?: At least 10 years of relevant experience for this Staff Software Engineer, Machine Learning role.
Where is the role based?: Attentive Mobile is hiring for this position in San Francisco, CA (Hybrid).
What's the tech stack?: Joblaze extracted these technologies from the posting: AWS, Airflow, DynamoDB, Gradle, GraphQL, HuggingFace.
What seniority level is this role?: Attentive Mobile targets staff-level candidates for this position.
Is this full-time or contract?: Full-time for this Staff Software Engineer, Machine Learning role at Attentive Mobile.

From the original posting

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.

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.

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 6+ 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

For US based applicants:

The US base salary range for this full-time position is $320,000 - $360,000 annually + equity + benefits
Our salary ranges are determined by role, level and location

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Attentive Company Values

Standard company text repeated across Attentive Mobile's postings is omitted here.

Staff Software Engineer, Machine Learning

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