Staff ML Engineer: Growth & Engagement (Remote)

Unchain Data; United States; À distance; USD 180 000 - 280 000; Plein temps

Avantages offerts par ce poste

Competitive salary and equity

Comprehensive insurance (medical/dent/

Résumé du poste

Phantom is a leading crypto wallet platform with a global, fully remote engineering organization. We are seeking a Staff Machine Learning Engineer to drive Growth and Engagement ML initiatives, shaping the technical strategy, architecture, and end-to-end execution.

You will bridge advanced ML with business goals, building systems that influence user acquisition, retention, lifetime value, and product engagement.

Qualifications

• 8+ years of professional experience in ML engineering, data science, or software engineering with leadership roles.
• Proven track record building and scaling ML systems in growth/engagement domains.
• Extensive experience with large-scale data processing and distributed computing.

Responsabilités

• Define the long-term technical roadmap for Growth and Engagement ML systems.
• Architect and deploy production-grade ML pipelines and real-time decisioning systems.
• Evaluate and integrate cutting-edge ML techniques (bandits, RL, LLMs, GNNs).
• Design, train, and validate models for churn, LTV, next-best-action, and lookalike modeling.
• Build and optimize recommendation engines and semantic search to surface relevant content.

Connaissances

8+ years experience

Staff/Lead experience

Business acumen

Communication

Outils

Python

Scala

Java

PyTorch

TensorFlow

JAX

XGBoost

Spark

Flink

Kafka

Snowflake/BigQuery

Ray

Kubeflow

MLflow

SageMaker

Description du poste

Phantom is a leading crypto wallet platform with a global, fully remote engineering organization. We are seeking a Staff Machine Learning Engineer to drive Growth and Engagement ML initiatives, shaping the technical strategy, architecture, and end-to-end execution.

You will bridge advanced ML with business goals, building systems that influence user acquisition, retention, lifetime value, and product engagement.