Senior Machine Learning Engineer

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! 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 systemsOwn ML projects end-to-end, from data exploration and modeling to deployment, monitoring, and iterationProactively safeguard model and system quality through testing, monitoring, validation, and alertingCollaborate cross-functionally with product, data, and other engineering partners to translate business problems into ML solutionsContinuously improve system reliability, performance, and engineering efficiencyContribute to technical direction and best practices across the ML engineering teamMentor and support other engineers through code reviews, design discussions, and knowledge sharingThrive in a high-impact, fast-paced, late-stage startup environment Your Expertise 6+ years of professional experience building production machine-learning software systemsProven experience owning ML systems long enough to see the downstream impact of design decisionsStrong proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or xgboostExperience with data processing and analytics tools such as pandas, Spark, SQL, and matplotlibHands-on experience building automated pipelines for data processing, model training, validation, and deploymentExperience collaborating with cross-functional teams to deliver ML-powered featuresStrong 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 AWSOur infrastructure runs primarily in Kubernetes hosted in AWS’s EKS, using tooling like Istio, Datadog, Terraform, CloudFlare, and HelmOur frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and PlaywrightOur 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 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 By applying for this position, your data will be processed as per Attentive's Privacy Policy. 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.