Joblaze summary

In the role of Senior Machine Learning Engineer at Attentive Mobile, the individual will design, build, and maintain scalable machine learning systems that enhance real-time personalization for a vast customer base. Proficiency in Python and experience with frameworks like PyTorch and TensorFlow are essential, alongside a strong background in data processing and analytics. This position is ideal for seasoned professionals with a track record of owning ML projects and collaborating across teams in a dynamic startup environment. Attentive's focus on innovation and customer success underscores the importance of technical excellence and teamwork.

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: San Francisco, CA (Hybrid).
Salary band is above the typical range for AI/ML roles (median ~$190,000).
Starts above 84% of 202 comparable senior ai/ml roles in United States that list Python we track (median $182,000 across 70 companies). See Python salary trends
Python appears in 52.3% of 551 comparable senior ai/ml roles in United States; Playwright appears in 0.2% of 551 comparable senior ai/ml roles in United States.

Quick facts

Is the Senior Machine Learning Engineer role remote?: It's hybrid — Attentive Mobile expects some on-site time in New York, NY (Hybrid).
What's the salary range?: Attentive Mobile lists $244,000–$320,000 for this role.
How much experience is required?: At least 6 years of relevant experience for this Senior Machine Learning Engineer role.
Where is the role based?: Attentive Mobile is hiring for this position in New York, NY (Hybrid).
What's the tech stack?: Joblaze extracted these technologies from the posting: AWS, Airflow, Aurora, CloudFlare, Datadog, DynamoDB.
What seniority level is this role?: Attentive Mobile targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Senior Machine Learning Engineer 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

Design, build, and operate scalable machine learning systems used in real-time targeting, decisioning, personalization systems
Own ML projects end-to-end, from data exploration and modeling to deployment, monitoring, and iteration
Proactively safeguard model and system quality through testing, monitoring, validation, and alerting
Collaborate cross-functionally with product, data, and other engineering partners to translate business problems into ML solutions
Continuously improve system reliability, performance, and engineering efficiency
Contribute to technical direction and best practices across the ML engineering team
Mentor and support other engineers through code reviews, design discussions, and knowledge sharing
Thrive in a high-impact, fast-paced, late-stage startup environment

Your Expertise

6+ years of professional experience building production machine-learning software systems
Proven experience owning ML systems long enough to see the downstream impact of design decisions
Strong proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or xgboost
Experience with data processing and analytics tools such as pandas, Spark, SQL, and matplotlib
Hands-on experience building automated pipelines for data processing, model training, validation, and deployment
Experience collaborating with cross-functional teams to deliver ML-powered features
Strong communication skills and a high sense of ownership

What We Use

Our backend is Java / Kotlin / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Aurora, AirFlow, Postgres, and Redis, hosted via AWS
Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS, using tooling like Istio, Datadog, Terraform, CloudFlare, and Helm
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, industry-leading LLMs, lots of data and tech like Python, Metaflow, HuggingFace, PyTorch, TensorFlow, and Pandas

For US based applicants:

The US base salary range for this full-time position is $244,000 - 320,000 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.

Senior Machine Learning Engineer

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