5 дней назад
Staff Machine Learning Engineer (Crypto)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Machine Learning Engineer (Crypto) (Growth and Engagement ML): Building production-grade ML pipelines, real-time decisioning systems, recommendation engines, and semantic search for user acquisition, retention, lifetime value, and product engagement with an accent on personalization, experimentation, and large-scale distributed computing. Focus on designing lifecycle models, applying causal inference and reinforcement learning, and leading scalable ML architecture from training through production monitoring.
Location: Remote
Company
Phantom develops a self-custody crypto wallet and financial platform that gives users access to open markets, digital assets, stablecoins, prediction markets, and other blockchain-based products.
What you will do
- 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, notifications, and onboarding.
- Design, train, validate, and optimize models for churn propensity, lifetime value, next-best action, and lookalike audiences.
- Build recommendation engines and semantic search systems for relevant content, products, and features.
- Establish experimentation frameworks using A/B testing, causal inference, uplift modeling, and multivariate testing.
- Mentor senior engineers and collaborate with Product, Data Science, and Growth Marketing leadership.
Requirements
- 8+ years of professional experience in machine learning engineering, data science, or software engineering.
- 3+ years in a Staff, Principal, or Tech Lead capacity.
- Experience building and scaling ML systems for growth, marketing technology, recommendation engines, or consumer engagement.
- Extensive experience with large-scale data processing and distributed computing.
- Expert-level Python, Scala, or Java and experience with PyTorch, TensorFlow, JAX, or XGBoost.
- Experience with infrastructure such as Spark, Flink, Kafka, Snowflake, BigQuery, Ray, Kubeflow, MLflow, or SageMaker.
Nice to have
- Experience with multi-armed bandits, reinforcement learning, LLM-based content generation, or graph neural networks.
- Strong business acumen and the ability to connect algorithmic improvements with growth metrics such as conversion, retention, and MAU/DAU.
Culture & Benefits
- Fully remote environment with flexible working hours.
- Competitive salary and equity.
- Medical, dental, and vision insurance fully covered.
- Remote work setup stipend covering equipment such as a laptop and headphones.
- Unlimited vacation, wellness benefits, daily lunch benefits, and a 401(k) retirement plan.
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