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Attentive

Staff Software Engineer, Machine Learning

Attentive

United States $320,000 - $360,000 2w ago
Marketing Data ScienceOn-siteSenior level
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On-siteSenior levelPosted 2w ago

Compensation

Salary & market context

$320,000 - $360,000

355% above the BLS national median

BLS national median: $74,680

  • 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 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 $320,000 - $360,000 annually + equity + benefits Our salary ranges are determined by role, level and location #LI-EF1 By applying for this position, your data will be processed as per Attentive's Privacy Policy .

Requirements

Top requirements

  • 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 You'll get competitive perks and benefits , from health & wellness to equity, to help you bring your best self to work.

Perks & setup

Benefits candidates care about

  • 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 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 $320,000 - $360,000 annually + equity + benefits Our salary ranges are determined by role, level and location #LI-EF1 By applying for this position, your data will be processed as per Attentive's Privacy Policy .

Why candidates care

Benefits & perks

  • 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 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 $320,000 - $360,000 annually + equity + benefits Our salary ranges are determined by role, level and location #LI-EF1 By applying for this position, your data will be processed as per Attentive's Privacy Policy .

Start here

Requirements

  • 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 You'll get competitive perks and benefits , from health & wellness to equity, to help you bring your best self to work.

Responsibilities

What you'll do

  • We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships.
  • 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 You'll get competitive perks and benefits , from health & wellness to equity, to help you bring your best self to work.

Role snapshot

About the role

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 !

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.

Source text

Full listing preview

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 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 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 $320,000 - $360,000 annually + equity + benefits Our salary ranges are determined by role, level and location #LI-EF1 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.
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