Staff Machine Learning Engineer - AI/ML Risk Platform
SCRAPED
Used Tools & Technologies
Not specified
Required Skills & Competences ?
Kafka @ 4 Python @ 7 Spark @ 4 Statistics @ 4 Airflow @ 4 Flink @ 4 Kinesis @ 4 Machine Learning @ 4 MLOps @ 4 TensorFlow @ 7 Hiring @ 4 Leadership @ 4 Communication @ 7 Mentoring @ 7 Data Analysis @ 4 Technical Leadership @ 4 Hadoop @ 4 Fraud @ 4 NLP @ 4 Hive @ 4 PyTorch @ 7 Snowflake @ 4Details
At Coinbase, our mission is to increase economic freedom in the world. We are building the emerging onchain platform and the future global financial system. The Risk AI/ML team builds flexible, scalable, and intelligent systems required to detect and prevent fraud, scams, and account takeovers at scale. As a member of this team you will build and deploy sophisticated AI/ML models that power real-time, near-real-time, and scheduled risk-detection workflows, collaborating closely with Platform, Product, Analyst, and Ops teams.
Responsibilities
- Lead the end-to-end design and deployment of production-grade AI/ML models and systems that scale to millions of users.
- Investigate and harness cutting-edge methodologies (e.g., large-scale deep learning, LLMs, GNNs, reinforcement learning) to address challenges such as fraud detection, recommender systems, feed ranking, and risk assessment.
- Architect low-latency, high-reliability prediction pipelines and production models with an emphasis on robustness and low maintenance.
- Drive execution across ambiguous, cross-functional initiatives; prioritize technical debt and ensure systems evolve with business growth.
- Provide technical leadership and mentorship, setting technical direction across teams and democratizing access to AI/ML via codelabs, tools, and infrastructure.
- Collaborate and influence stakeholders with diverse technical and non-technical backgrounds.
Requirements
- 8+ years of professional experience in software engineering and/or AI/ML, including significant experience deploying AI/ML systems into production.
- Deep expertise in applied AI/ML (examples listed below); experience applying ML to risk, fraud detection, and related domains.
- Strong coding skills (e.g., Python) and experience with AI/ML frameworks such as TensorFlow and PyTorch.
- Experience building backend systems at scale focused on data processing, AI/ML, or analytics.
- Demonstrated technical leadership: ability to lead complex, cross-team initiatives and deliver impactful AI/ML solutions.
- Strong communication skills and experience mentoring senior engineers and raising engineering excellence.
- Passion for protecting users from bad actors and aligning with Coinbase cultural values.
Technologies & Techniques Mentioned
- Machine learning: Risk ML, gradient boosting trees
- Deep learning: large-scale deep learning, NLP/LLMs, computer vision
- Advanced methods: LLMs, GNNs, reinforcement learning
- Frameworks / languages: Python, TensorFlow, PyTorch
- Data & streaming infrastructure: Apache Airflow, Spark, Flink, Kafka / Kinesis, Snowflake, Hadoop, Hive
- MLOps: monitoring, retraining, continuous improvement, model interpretability, responsible AI
- Data analysis and visualization
Nice to Haves
- Master’s or PhD in Computer Science, AI/ML, Data Mining, Statistics, or related technical field.
- Knowledge of modern data and AI/ML infrastructure (Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, Hadoop, Hive).
- Familiarity with MLOps best practices and model interpretability / responsible AI.
- Experience with data analysis and visualization.
Benefits
- Bonus eligibility, equity eligibility, medical, dental, and vision
- Extended Health Care (coordinates with Provincial Coverage), Dental Care, Vision Care
- Consult+ (Virtual Health Care), Life & Accident Insurance, Disability Coverage
- Employee Stock Purchase Plan (ESPP), Wellness Stipend, Mobile/Internet Reimbursement
- Connections Stipend, Learning and Development Allowance, Employee Assistance Program
- Travel Medical Policy - Global Traveler, Fertility Benefits, Generous Time off/Leave Policy
Pay Range
The target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility, equity eligibility, and benefits.
Pay Range: $217,900—$217,900 CAD
Additional Notes
- While many roles at Coinbase are remote-first, in-person participation is required throughout the year (team and company offsites). Attendance is expected and supported.
- Coinbase is an Equal Opportunity Employer and is committed to providing reasonable accommodations for candidates with disabilities.
- Job ID: GPML06US
- AI Disclosure: Coinbase may pilot AI tools for initial screening and interview intelligence for select roles; humans review interview responses and final hiring decisions are not made solely by AI.