StaffAttract
  • Login
  • Create Account
  • Products
    • Private Ad Placement
    • Reports Management
    • Publisher Monetization
    • Search Jobs
  • About Us
  • Contact Us
  • Unsubscribe

Login

Forgot Password?

Create Account

Job title, industry, keywords, etc.
City, State or Postcode

Staff Machine Learning Engineer, Team Lead

Attentive - San Francisco, CA

Apply Now

Job Description

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 a 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 with Python and extensive experience using ML and data analysis to build scalable systems and data-driven products, collaborating with cross-functional teamsYou have a proven track record of building scalable, efficient, automated processes for large-scale data analyses, model development, validation, and implementationYou have led cross-functional machine learning projects across teamsWhat We UseInfrastructure runs primarily in Kubernetes hosted in AWS EKSInfrastructure tooling includes Istio, Datadog, Terraform, Cloudflare, and HelmBackend uses Java / Spring Boot microservices, with DynamoDB, Kinesis, Airflow, Postgres, PlanetScale, and Redis, hosted via AWSFrontend uses React and TypeScript with GraphQL, Storybook, Radix UI, Vite, esbuild, and PlaywrightAutomation is driven by 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 applicantsThe US base salary range for this full-time position is $288,000 - $330,000 annually + equity + benefitsEquity is a substantial part of the total compensation packageOur 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 successEqual Opportunity Attentive is an Equal Opportunity Employer. We welcome applicants from all backgrounds. We provide equal employment opportunities regardless of protected characteristics, and we are committed to a fair, inclusive, and equitable workplace. Attentive provides reasonable accommodations for candidates with disabilities. If you need assistance or accommodations, please let your recruiter know. #J-18808-Ljbffr

Created: 2025-09-17

➤
Footer Logo
Privacy Policy | Terms & Conditions | Contact Us | About Us
Designed, Developed and Maintained by: NextGen TechEdge Solutions Pvt. Ltd.