Staff Machine Learning Engineer, Phantom
Offers equity
Crypto wallet built for everyone
Be an early applicant
Crypto wallet built for everyone
201-500 employees
Be an early applicant
Offers equity
201-500 employees
Company mission
To make the digital economy safe and easy to use for everyone.
Role
Who you are
- 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
- 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
- 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
What the job involves
- 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
- 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
- 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
- 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
Our take
Cryptocurrency wallets provide a way to protect secret information that gives users control over your digital assets. Many crypto enthusiasts prefer the wallet option as non-custodial wallets remove the third-party option and users gain full control over their data. Phantom is a cryptocurrency wallet that creates a space for users to buy, send, receive, swap tokens and collect NFTs.
Phantom hosts the Solana blockchain, though Ethereum is generally more popular within the crypto world, Solana is said to have faster speeds and lower transaction costs. Offering the same wallet features as its competitors, the company is setting itself apart with newer features like the “Burn NFTs” feature allowing users to remove spam NFTs sent by attackers and support them in dodging NFT theft prevalent in the sector. The company prides itself on extremely high-security factors.
Founded in 2021, the company has an impressive firm valuation of $3B and has earned its place as a top-rated crypto wallet. As the crypto space continues to evolve, Phantom is positioning itself not just as a wallet, but as a comprehensive platform for managing the full range of digital assets and decentralized applications.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
May 2022
$12m
SERIES A
Dec 2021
$4m
SEED
Total funding: $16.3m
Company benefits
- Daily meal benefit
- Unlimited PTO
- Comprehensive health plans
- Learning & development
- Montlhy wellness benefit
- Global company offsites
Company HQ
SoMa, San Francisco, CA
Leadership
Brandon Millman
(Co-Founder & CEO)Prior to co-founding Phantom in 2021, Brand was an Engineering Manager & Tech Lead at 0x Labs and a Senior Engineer at Twitter.
Chris Kalani
(Co-Founder & CPO)Chris previously spent nearly 3 years at 0x Labs as a Director of Design and General Manager of Match. Before that, they co-founded Wake where they served as the CEO for over 4 years.
Francesco Agosti
(Co-Founder & CTO)Francesco previously worked at 0x Labs as a Software Engineer and Tech Lead. Prior to that, they were a Software Engineer at Yelp and a Lead Engineer at Code at Uni.
Share this job
View 12 more jobs at Phantom