资深机器学习工程师
Staff Machine Learning Engineer
Phantom 的使命是将世界连接到开放市场的自由。全球数以百万计的人使用 Phantom 访问永不关闭的全球市场，包括永续合约、预测市场、代币化资产、稳定币和表情包。Phantom 用户能够发现重要的市场和塑造它们的文化时刻，通过实时数据和顶级交易者的验证表现建立信心。以自我托管和对开放网络的访问为核心，Phantom 让他们在一个应用中掌控自己的财务决策，这个应用也用于安全地存储或花费全球货币。
Phantom 在 Google Play 的金融类应用中排名第一，并且在所有类别中始终位列前 50 名。Phantom 与 Hyperliquid、Stripe、Kalshi 和 Visa 等金融领域最值得信赖和有影响力的名字合作，让最受欢迎和创新的金融产品为每个人所用。
我们目前约有 180 人，全部远程办公，由 a16z、Sequoia Capital 和 Paradigm 提供的 1.5 亿美元 C 轮融资支持。
## **职位概述**
我们正在寻找一位有远见且亲力亲为的 **资深机器学习工程师**，负责领导我们 **增长与参与度 ML 项目** 的技术战略、架构和执行。在这个职位上，你将弥合高级机器学习与商业战略之间的差距，设计推动用户获取、留存、生命周期价值（LTV）和深度产品参与的系统。
作为工程组织的技术支柱，你将负责复杂 ML 模型的端到端生命周期，指导高级工程师，并与产品、数据科学和市场营销领导紧密合作，推动核心业务指标。
**主要职责**
**技术领导与战略**
- **制定增长与参与度 ML 系统的长期技术路线图**，确保可扩展性、可靠性和可衡量的业务影响。
- **设计并部署生产级 ML 流水线** 和实时决策系统，用于个性化、通知分发和注册流程。
- **评估并集成前沿的 ML 技术**，包括多臂老虎机、强化学习、用于内容生成的大型语言模型（LLM）以及先进的图神经网络。
**执行与建模**
- **设计、训练和验证复杂的模型**，针对用户生命周期的不同阶段：流失倾向、生命周期价值（LTV）预测、下一步最佳行动等。
查看英文原文
[Phantom](https://phantom.com) is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide.
Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Phantom partners with many of the most trusted and influential names in finance like Hyperliquid, Stripe, Kalshi and Visa, to make the most popular and innovative financial products accessible to everyone.
We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm.
## **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.
As a technical pillar of the engineering organization, you will own the end-to-end lifecycle of complex ML models, mentor senior engineers, and collaborate closely with Product, Data Science, and Marketing leadership to move core business metrics.
**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._