Senior Machine Learning Engineer
Softbank Investment Advisers
- United States
- United States
À propos
Attentive® is the leader in conversational commerce, reinventing business-to-consumer communication. 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 Infrastructure: Kubernetes (AWS EKS), Istio, Datadog, Terraform, Cloudflare, Helm Backend: Java / Spring Boot microservices (Gradle), DynamoDB, Kinesis, Airflow, Postgres, PlanetScale, Redis Frontend: React, TypeScript, GraphQL, Storybook, Radix UI, Vite, Playwright ML & Data: Python, Metaflow, HuggingFace, PyTorch, TensorFlow, Panda 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 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.
Compétences linguistiques
- English
Avis aux utilisateurs
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