Senior Machine Learning Engineer

Attentive
New York
Workplace: OnsiteFull timeUSD 244,000 - 320,000 annuallyFunction: Data Science & Machine LearningExperience: 6+ yearsSkills: ["Ownership","Communication","Cross-functional collaboration","Mentorship","Technical leadership"]

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 proactively validating and improving model and system quality. Collaborate with Product, Data, and Engineering to translate business problems into ML solutions, and help raise best practices across the ML team.

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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 proactively validating and improving model and system quality. Collaborate with Product, Data, and Engineering to translate business problems into ML solutions, and help raise best practices across the ML team.
Location: New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, build, and operate scalable machine learning systems used in real-time targeting, decisioning, and personalization.
  • •Own ML projects end-to-end, from data exploration and modeling to deployment, monitoring, and iteration.
  • •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, including mentoring via 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 of professional experience building production machine-learning software systems.
  • •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.
  • •Strong communication skills and a high sense of ownership.
Experience:6+ yearsMachine learningAI marketingReal-time personalization
Skills:OwnershipCommunicationCross-functional collaborationMentorshipTechnical leadership
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