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◆ 6/10
aicryptoweb3nft
About this role
Phantom is looking for a Staff Machine Learning Engineer to define technical roadmaps, architect ML systems, and mentor engineers in a remote full-time role.
Description
Phantom is focused on creating innovative solutions in the crypto space, particularly enhancing user experiences through advanced machine learning techniques.
Responsibilities
Responsibilities
- Define the long-term technical roadmap for Growth and Engagement ML systems, ensuring scalability, reliability, and measurable business impact
- Architect and deploy production-grade ML pipelines and real-time decisioning systems that power personalization, notification dispatch, and onboarding flows
- Evaluate and integrate cutting-edge ML techniques, including multi-armed bandits, reinforcement learning, LLMs for content generation, and advanced graph neural networks
- Design, train, and validate sophisticated models targeting user lifecycle stages: propensity to churn, lifetime value (LTV) forecasting, next-best-action, and lookalike modeling
- Build and optimize recommendation engines and semantic search systems to surface highly relevant content, products, or features to users
- Establish robust experimentation frameworks (advanced A/B testing, causal inference, and multi-variate testing) to rigorously validate model variants in production
- Partner with Product and Growth marketing teams to translate high-level business hypotheses into precise, actionable machine learning problems
- Mentor and coach senior engineers across the data and ML organizations, fostering a culture of technical excellence and continuous learning
- Advocate for ML engineering best practices, including model monitoring, feature store utilization, reproducible training pipelines, and data governance
Requirements
Requirements
- 8+ years of professional experience in machine learning engineering, data science, or software engineering, with at least 3+ years in a Staff, Principal, or Tech Lead capacity
- Proven track record of building and scaling ML systems specifically within growth, marketing tech, recommendation engines, or consumer engagement domains
- Extensive experience with large-scale data processing and distributed computing
- Languages: Expert-level Python, Scala, or Java
- ML Frameworks: PyTorch, TensorFlow, JAX, or XGBoost
- Data & MLOps Infrastructure: Spark, Flink, Kafka, Snowflake/BigQuery, Ray, Kubeflow, MLflow, or SageMaker
- Experimentation: Deep understanding of causal inference, uplift modeling, and robust statistical testing methodologies
- Business Acumen: Ability to directly connect algorithmic improvements to top-line growth metrics (e.g., MAU/DAU, conversion rates, retention curves)
- Communication: Exceptional ability to explain highly complex technical architectures and algorithmic choices to non-technical stakeholders and executives
Job Details
Market range (est.)$120k–$245k
LocationRemote
AI Score★★★★★★☆☆☆☆ 6/10
PostedOct 8, 2026 (4d ago)
Tags & Skills
aicryptoweb3nftfintechdefiML Engineerremote
Tech Stack
PythonScalaJavaPyTorchTensorFlowJAXXGBoostSparkFlinkKafkaSnowflakeBigQueryRayKubeflowMLflowSageMaker