Staff Machine Learning Engineer

Category: Engineering Employment type: FULL_TIME Grade: Senior Description: Role Overview We are seeking a visionary and hands‑on Staff Machine Learning Engineer to lead the technical strategy, architecture, and execution of our Growth and Engagement ML initiatives. In this role, you will bridge the gap between advanced machine learning and business strategy, designing systems that drive user acquisition, retention, lifetime value (LTV), and deep product engagement. Key Responsibilities Technical Leadership & Strategy 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. Execution & Modeling 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. Collaboration & Mentorship 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. Qualifications & Skills Experience 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. Technical Proficiencies 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. Core Competencies 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. Why Work with Us Opportunity We are a team of experienced builders with a ton of traction in a big and growing market – our users are so passionate they were hacking their way into our private beta. We've acquired millions of users in our 3+ years and are adding more every week! On top of that, there has never been a better time to work in crypto and on wallets in particular. Wallets play a pivotal role: Wallets are responsible for on‑boarding new users into crypto, and can make or break the user experience. We are moving to a multi‑chain world: New blockchains and scaling solutions are coming online and gaining traction, but are lacking decent wallets and bridges. DeFi & NFTs are exploding: Interest in DeFi and NFTs has exploded, yet they are still an after‑thought in existing wallets. Benefits Competitive salary and equity Comprehensive insurance (medical/dental/vision) 100% covered Stipend for your ideal remote / WFH set‑up: laptop, headphones, and any other work gear you may need Flexible hours and a long‑standing, supportive remote environment Unlimited vacation: Take time when you need it (and we really mean it!) 401(k) retirement plan Wellness benefit Daily lunch benefit We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career. By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. (“Phantom”) collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI‑powered tools and third‑party service providers for transcription, note‑taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.