Staff Machine Learning Engineer at Phantom
Job Description
Phantom is revolutionizing access to open markets, enabling millions worldwide to engage with perpetuals, prediction markets, tokenized assets, and stablecoins. Ranked #1 in Google Play's finance category, Phantom partners with leading financial names like Hyperliquid, Stripe, Kalshi, and Visa. We are a fully remote team of approximately 180 individuals, backed by $150M in Series C funding from a16z, Sequoia Capital, and Paradigm.
Role Overview: Staff Machine Learning Engineer
As a visionary and hands-on Staff Machine Learning Engineer, you will define the technical direction and execute Growth and Engagement ML initiatives at Phantom. This pivotal role bridges advanced machine learning with core business strategy, focusing on systems that enhance user acquisition, retention, lifetime value (LTV), and product engagement. You will lead the complete lifecycle of complex ML models, mentor senior engineers, and collaborate closely with Product, Data Science, and Marketing leadership to significantly impact key business metrics.
Key Responsibilities:
- Technical Leadership & Strategy: Develop the long-term technical roadmap for Growth and Engagement ML systems, ensuring scalability, reliability, and measurable business impact. Design and deploy production-grade ML pipelines and real-time decisioning systems for personalization, notifications, and onboarding. Evaluate and integrate cutting-edge ML techniques, including multi-armed bandits, reinforcement learning, LLMs for content generation, and advanced graph neural networks.
- Execution & Modeling: Design, train, and validate sophisticated models for user lifecycle stages, such as churn propensity, LTV forecasting, next-best-action, and lookalike modeling. Build and optimize recommendation engines and semantic search systems to deliver highly relevant content, products, and features to users. Establish robust experimentation frameworks (advanced A/B testing, causal inference, multi-variate testing) for rigorous model validation in production.
- Collaboration & Mentorship: Partner with Product and Growth marketing teams to translate business hypotheses into precise, actionable machine learning problems. Mentor and coach senior engineers across data and ML organizations, cultivating a culture of technical excellence. Advocate for best practices in ML engineering, including model monitoring, feature store utilization, reproducible training pipelines, and data governance.
Qualifications & Skills:
Experience:
- Minimum of 8 years in machine learning engineering, data science, or software engineering, with at least 3 years in a Staff, Principal, or Tech Lead role.
- Demonstrated success in building and scaling ML systems within growth, marketing technology, recommendation engines, or consumer engagement domains.
- Extensive experience with large-scale data processing and distributed computing environments.
Technical Proficiencies:
- Languages: Expert proficiency in Python, Scala, or Java.
- ML Frameworks: Strong command of PyTorch, TensorFlow, JAX, or XGBoost.
- Data & MLOps Infrastructure: Experience with Spark, Flink, Kafka, Snowflake/BigQuery, Ray, Kubeflow, MLflow, or SageMaker.
- Experimentation: Deep understanding of causal inference, uplift modeling, and robust statistical testing.
Core Competencies:
- Business Acumen: Ability to directly link algorithmic improvements to key growth metrics like MAU/DAU, conversion rates, and retention.
- Communication: Exceptional ability to articulate complex technical architectures and algorithmic choices to non-technical stakeholders and executives.
Why Work with Us:
Opportunity:
Join an experienced team with significant traction in a rapidly expanding market. Phantom has attracted millions of users and continues to grow weekly. This is a prime time to contribute to the crypto and wallet space:
- Wallets are Pivotal: They are critical for user onboarding into crypto and shaping the overall user experience.
- Multi-Chain Future: New blockchains and scaling solutions are emerging, creating demand for advanced wallets and bridges.
- DeFi & NFTs Explosion: Interest in decentralized finance and NFTs is booming, requiring robust wallet integration.
Benefits:
- Competitive salary and equity options.
- Comprehensive medical, dental, and vision insurance, 100% covered.
- Stipend for your ideal remote / work from home setup, including laptop and other essential gear.
- Flexible hours and a proven, supportive remote work environment.
- Unlimited vacation policy, take time off when you need it.
- 401(k) retirement plan.
- Wellness benefit.
- Daily lunch benefit.
We actively encourage candidates from all backgrounds to apply, believing that diverse perspectives strengthen our work. If you feel your background would make an impact at Phantom, please consider applying. We are committed to building an inclusive and supportive environment for your career growth.
By submitting your resume and application, you acknowledge that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) for candidacy evaluation. Phantom may utilize AI-powered tools and third-party service providers for administrative tasks such as transcription, note-taking, and scheduling. Phantom ensures your data is handled securely and in compliance with applicable data protection laws, and does not sell your information.
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