machine learning engineer for growth and engagement

Phantom; United States; On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Remote/WFH stipend (laptop, gear)

Flexible hours

Unlimited vacation

401(k) retirement plan

Wellness benefit

Daily lunch benefit

Job summary

Phantom ищет опытного руководителя ML-инженерии для определения долгосрочной дорожной карты Growth и Engagement ML систем. Вы будете проектировать и внедрять production‑grade пайплайны и решения в реальном времени для персонализации, уведомлений и онбординга.

Кандидат с глубоким знанием Python/Scala/Java и опытом в PyTorch/TensorFlow и распределённых систем, умеющий связывать улучшения алгоритмов с бизнес-метриками MAU/DAU, конверсией и удержанием, приветствуется.

Qualifications

• 8+ лет опыта в ML-инжиниринге, дата-сайенс или софтверной инженерии.
• Не менее 3 лет на позиции Staff/Principal/Tech Lead.
• Доказанный опыт масштабирования ML-систем в росте, маркетинговой технике или вовлечении пользователей.

Responsibilities

• Определять долгосрочную техническую стратегию Growth/Engagement ML.
• Проектировать и разворачивать production-grade ML пайплайны и decisioning систем.
• Разработать и внедрить модели churn, LTV, next-best-action, lookalike.
• Сопровождать эксперименты и A/B/CI тестирование в продакшене.

Skills

Python

Scala/Java

ML engineering

Distributed computing

Experimentation frameworks

A/B testing

Data-driven decisioning

Leadership

Tools

PyTorch

TensorFlow

Spark

Kafka

Kubeflow

MLflow

SageMaker

Job description

Описание

Phantom connects people to open global markets, including perpetuals, prediction markets, tokenized assets, stablecoins, and memes. Its app provides access to real-time market data and verified trader performance, with self-custody and open networks at its core. Phantom also partners with companies in finance to make financial products accessible to everyone.

Задачи

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 for personalization, notification dispatch, and onboarding flows Evaluate and integrate machine learning techniques, including multi-armed bandits, reinforcement learning, LLMs for content generation, and graph neural networks Design, train, and validate models for churn propensity, lifetime value forecasting, next-best-action, and lookalike modeling Build and optimize recommendation engines and semantic search systems to surface relevant content, products, or features Establish experimentation frameworks, including advanced A/B testing, causal inference, and multivariate testing, to validate model variants in production Partner with Product and Growth Marketing teams to translate business hypotheses into actionable machine learning problems Mentor and coach senior engineers across data and ML organizations Advocate for ML engineering best practices, including model monitoring, feature store utilization, reproducible training pipelines, and data governance

Требования

• 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 experience building and scaling ML systems in growth, marketing tech, recommendation engines, or consumer engagement
• 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 statistical testing methodologies
• Ability to connect algorithmic improvements to business growth metrics, including MAU/DAU, conversion rates, and retention curves
• Ability to explain complex technical architectures and algorithmic choices to non-technical stakeholders and executives

Будет плюсом: No additional preferred qualifications specified

Условия

• Competitive salary and equity
• Medical, dental, and vision insurance fully covered
• Stipend for a remote/WFH setup, including a laptop, headphones, and other work gear
• Flexible hours
• Unlimited vacation
• 401(K) retirement plan
• Wellness benefit
• Daily lunch benefit