About the role
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.
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
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:
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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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Aplyr's read
Attentive is a leader in mobile messaging, offering data-driven solutions for businesses seeking to enhance customer engagement and conversion through personalized marketing.
What's promising
- •Attentive's data-driven approach enhances customer engagement and conversion rates.
- •The company has a strong focus on personalized mobile messaging solutions.
- •Recent hiring trends indicate growth in engineering and strategic roles.
What to watch
- •High competition in the marketing technology space could impact growth.
- •Dependence on mobile messaging may limit diversification opportunities.
- •Rapid expansion might stress organizational resources and culture.
Why Attentive
- •Attentive specializes in SMS and email marketing with a personalized touch.
- •The platform leverages data insights to create meaningful customer connections.
- •Focus on intelligent messaging distinguishes Attentive in the marketing tech industry.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Attentive
Attentive is a personalized mobile messaging platform that helps businesses engage with their customers through SMS and email marketing. By leveraging data-driven insights, Attentive enables brands to create meaningful connections with their audience, driving higher engagement and conversion rates.