Senior Machine Learning Engineer

Attentive
San Francisco
Workplace: OnsiteFull timeUSD 244,000 - 320,000 annuallyFunction: Data Science & Machine LearningExperience: 6+ yearsSkills: ["Ownership","Communication","Collaboration","Quality focus","Mentoring"]

Build, scale, and operate production-grade machine learning systems that power real-time targeting, decisioning, and personalization across the Attentive platform. Own ML projects end-to-end—from data exploration and modeling through deployment, monitoring, and iteration—while safeguarding quality with testing, validation, and alerting. Partner closely with Product and Engineering to turn business problems into ML solutions, improve reliability and performance, and mentor teammates through design discussions and code reviews.

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FursaFursa
Attentive
Attentive
6 months ago

Senior Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Build, scale, and operate production-grade machine learning systems that power real-time targeting, decisioning, and personalization across the Attentive platform. Own ML projects end-to-end—from data exploration and modeling through deployment, monitoring, and iteration—while safeguarding quality with testing, validation, and alerting. Partner closely with Product and Engineering to turn business problems into ML solutions, improve reliability and performance, and mentor teammates through design discussions and code reviews.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, build, and operate scalable ML systems for real-time targeting, decisioning, and personalization
  • •Own ML projects end-to-end from data exploration and modeling to deployment, monitoring, and iteration
  • •Implement testing, monitoring, validation, and alerting to safeguard model and system quality
  • •Collaborate with product, data, and engineering partners to translate business problems into ML solutions
  • •Contribute to technical direction and best practices; mentor engineers through code reviews and knowledge sharing

Pay and Benefits

Salary: USD 244,000 - 320,000 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •6+ years building production machine-learning software systems
  • •Own ML systems end-to-end and understand downstream impact of design decisions
  • •Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or xgboost
  • •Experience with data processing/analytics tools including pandas, Spark, SQL, and matplotlib
  • •Hands-on experience building automated pipelines for data processing, model training, validation, and deployment
Experience:6+ years
Skills:OwnershipCommunicationCollaborationQuality focusMentoring
Languages:English
Tech Stack:PythonPyTorchTensorFlowXgboostPandasSparkSQLMatplotlibJavaKotlinSpring BootGradleDynamoDBAuroraAirFlowPostgresRedisAWSKubernetesEKS

Company Brief

Attentive
Provides a mobile messaging and personalization platform that helps brands engage customers via SMS, email, and onsite messaging to drive sales, retention, and personalized marketing at scale.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 2016
WebsiteLinkedIn