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Staff Machine Learning Engineer
JOB SUMMARY
Roles
ML/AI Engineer
Skills & Technologies
Languages:PythonSQLJavaJavaScript
ML/AI:TensorFlowPyTorchXGBoostHugging FacePandas
Big Data:SparkAirflow
Cloud/DevOps:AWSKubernetesTerraform
Databases:PostgreSQLRedisDynamoDB
Job details
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. ), and Inc. ’s Best Workplaces. About the RoleOur Machine Learning Engineering team powers personalized experiences for hundreds of millions of customers across thousands of brands.
We build advanced ML models that predict customer behaviors in real-time, enabling highly personalized shopping experiences. Joining our team offers a high-growth career opportunity to work with some of the world’s most talented machine learning engineers in a high-performance and high-impact culture.
We are seeking a self-driven and highly motivated Machine Learning Engineer to join our growing machine learning teams.
As an early hire, you will contribute to the development of machine learning models and infrastructure needs across the Attentive platform and work with Product Management and Engineering to implement end-to-end modeling use cases.
What You'll AccomplishYou have a proven track record of building systems that maintain a high bar of qualityYou deeply loathe regressions and take proactive steps to protect against them through a variety of testing techniquesYou are a collaborator, technical leader, and a great communicatorYou 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 changesYou are enthusiastic about the high impact, fast-paced work environment of an late-stage startup10+ years experience is idealYour ExpertiseYou have worked professionally building systems for 6+ years with experience on a single system long enough to see the consequences of your decisionsExperience with TensorFlow/Pytorch, xgboost, pandas, matplotlib, SQL, Spark or similar toolsYou have proficiency or experience with PythonYou have extensive experience using machine learning and data analysis, or similar, to build scalable systems and data-driven products, working with cross-functional teamsYou 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 researchYou have led cross-functional machine learning projects across teamsWhat We UseOur infrastructure runs primarily in Kubernetes hosted in AWS’s EKSInfrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and HelmOur backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Kinesis, AirFlow, Postgres, Planetscale, and Redis, hosted via AWSOur 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, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and PandasYou'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 $288,000 - $330,000 annually + equity +
benefits- Equity is a substantial part of the total compensation package- Our
salary ranges are determined by role, level and
locationAttentive Company ValuesDefault to Action - Move swiftly and with purposeBe One Unstoppable Team - Rally as each other’s championsChampion the Customer - Our success is defined by our customers' successAct Like an Owner - Take responsibility for Attentive’s successLearn 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.
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. ), and Inc. ’s Best Workplaces. About the RoleOur Machine Learning Engineering team powers personalized experiences for hundreds of millions of customers across thousands of brands.
We build advanced ML models that predict customer behaviors in real-time, enabling highly personalized shopping experiences. Joining our team offers a high-growth career opportunity to work with some of the world’s most talented machine learning engineers in a high-performance and high-impact culture.
We are seeking a self-driven and highly motivated Machine Learning Engineer to join our growing machine learning teams.
As an early hire, you will contribute to the development of machine learning models and infrastructure needs across the Attentive platform and work with Product Management and Engineering to implement end-to-end modeling use cases.
What You'll AccomplishYou have a proven track record of building systems that maintain a high bar of qualityYou deeply loathe regressions and take proactive steps to protect against them through a variety of testing techniquesYou are a collaborator, technical leader, and a great communicatorYou 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 changesYou are enthusiastic about the high impact, fast-paced work environment of an late-stage startup10+ years experience is idealYour ExpertiseYou have worked professionally building systems for 6+ years with experience on a single system long enough to see the consequences of your decisionsExperience with TensorFlow/Pytorch, xgboost, pandas, matplotlib, SQL, Spark or similar toolsYou have proficiency or experience with PythonYou have extensive experience using machine learning and data analysis, or similar, to build scalable systems and data-driven products, working with cross-functional teamsYou 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 researchYou have led cross-functional machine learning projects across teamsWhat We UseOur infrastructure runs primarily in Kubernetes hosted in AWS’s EKSInfrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and HelmOur backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Kinesis, AirFlow, Postgres, Planetscale, and Redis, hosted via AWSOur 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, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and PandasYou'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 $288,000 - $330,000 annually + equity +
benefits- Equity is a substantial part of the total compensation package- Our
salary ranges are determined by role, level and
locationAttentive Company ValuesDefault to Action - Move swiftly and with purposeBe One Unstoppable Team - Rally as each other’s championsChampion the Customer - Our success is defined by our customers' successAct Like an Owner - Take responsibility for Attentive’s successLearn 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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Attentive United States