Staff Machine Learning Engineer

🔥 17 hours ago

🏈 North America – Remote

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

👻 Ghost score 17%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Phantom

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

₿ Crypto

🔐 Security

🌐 Web 3

Crypto • Security • Web 3

Phantom is a company that provides a digital wallet and support services for managing cryptocurrencies such as SOL, ETH, POL, and Bitcoin. It offers guidance on account management, connecting to popular crypto apps, staking, and using hardware devices like Ledger Nano. Phantom prioritizes security and assists users in managing their crypto assets safely, ensuring they are aware of potential scams and providing tips for securing their digital wallets. The platform also supports mobile access on iOS and Android devices, offering solutions for various troubleshooting issues and frequently asked questions.

📋 Description

• Define the long-term technical roadmap for Growth and Engagement ML systems • Architect and deploy production-grade ML pipelines and real-time decisioning systems for personalization, notification dispatch, and onboarding flows • Evaluate and integrate multi-armed bandits, reinforcement learning, LLMs for content generation, and graph neural networks • Design, train, and validate models for churn propensity, LTV forecasting, next-best-action, and lookalike modeling • Build and optimize recommendation engines and semantic search systems • Establish experimentation frameworks including A/B testing, causal inference, and multivariate testing • Partner with Product and Growth Marketing to translate business hypotheses into machine learning problems • Mentor and coach senior engineers across data and ML organizations • Advocate for model monitoring, feature stores, reproducible training pipelines, and data governance

🎯 Requirements

• 8+ years of professional experience in machine learning engineering, data science, or software engineering • At least 3+ years in a Staff, Principal, or Tech Lead capacity • Proven track record building and scaling ML systems in growth, marketing technology, recommendation engines, or consumer engagement domains • Extensive experience with large-scale data processing and distributed computing • Expert-level Python, Scala, or Java • Experience with PyTorch, TensorFlow, JAX, or XGBoost • Experience with Spark, Flink, Kafka, Snowflake/BigQuery, Ray, Kubeflow, MLflow, or SageMaker • Deep understanding of causal inference, uplift modeling, and robust statistical testing methodologies • Ability to connect algorithmic improvements to growth metrics such as MAU/DAU, conversion rates, and retention curves • Exceptional ability to explain complex technical architectures and algorithmic choices to non-technical stakeholders and executives

🏖️ Benefits

• Competitive salary and equity • Comprehensive medical, dental, and vision insurance 100% covered • Stipend for remote/WFH setup, including laptop, headphones, and other work gear • Flexible hours • Long-standing, supportive remote environment • Unlimited vacation • 401(k) retirement plan • Wellness benefit • Daily lunch benefit