Staff Machine Learning Engineer

Phantom
Anywhere
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 8+ yearsSkills: ["Technical leadership","Mentorship","Communication","Experimentation","Business acumen"]

Lead Growth and Engagement ML initiatives by defining the technical roadmap, architecting production-grade ML pipelines, and delivering real-time decisioning for personalization, onboarding, and notifications. Design and validate models for churn propensity, LTV forecasting, next-best-action, lookalike modeling, recommendations, and semantic search. Build experimentation frameworks using causal inference and advanced A/B testing, and mentor senior engineers while partnering with Product and Growth marketing to move core business metrics.

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FursaFursa
Phantom
Phantom
2 days ago

Staff Machine Learning Engineer

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Lead Growth and Engagement ML initiatives by defining the technical roadmap, architecting production-grade ML pipelines, and delivering real-time decisioning for personalization, onboarding, and notifications. Design and validate models for churn propensity, LTV forecasting, next-best-action, lookalike modeling, recommendations, and semantic search. Build experimentation frameworks using causal inference and advanced A/B testing, and mentor senior engineers while partnering with Product and Growth marketing to move core business metrics.
Location: Anywhere
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Define the long-term roadmap for Growth and Engagement ML systems with measurable business impact.
  • •Architect and deploy production-grade ML pipelines and real-time decisioning for personalization, notification dispatch, and onboarding.
  • •Evaluate and integrate advanced ML techniques including multi-armed bandits, reinforcement learning, LLMs, and graph neural networks.
  • •Design, train, and validate models for churn propensity, LTV forecasting, next-best-action, and lookalike modeling.
  • •Mentor senior engineers and partner with Product and Growth marketing to translate business hypotheses into actionable ML problems and drive core metrics.

Pay and Benefits

Perks:Health InsuranceDentalVisionRemote WorkPaid Leave401kWellness StipendMeal Allowance

Key Requirements

  • •8+ years in machine learning engineering, data science, or software engineering, with 3+ years in a Staff/Principal/Tech Lead capacity.
  • •Proven experience building and scaling ML systems for growth, marketing tech, recommendation engines, or consumer engagement.
  • •Experience with large-scale data processing and distributed computing.
  • •Expert-level proficiency in Python, Scala, or Java.
  • •Strong ML and experimentation background, including causal inference, uplift modeling, and robust statistical testing.
Experience:8+ yearsMachine learningGrowth marketingMarketing techRecommendation systemsConsumer engagementDistributed computing
Skills:Technical leadershipMentorshipCommunicationExperimentationBusiness acumen
Tech Stack:PythonScalaJavaPyTorchTensorFlowJAXXGBoostSparkFlinkKafkaSnowflakeBigQueryRayKubeflowMLflowSageMakerA/B testingCausal inferenceUplift modelingGraph neural networks

Company Brief

Phantom
Phantom builds a user-friendly, self-custodial multichain crypto wallet for managing tokens, NFTs, swaps, and on‑chain interactions across Solana, Ethereum, Bitcoin and other networks—focused on mass adoption and consumer finance features.
Industry: Blockchain & Web3
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2021
WebsiteLinkedIn