below marketmost similar roles pay hereabove market
This role pays less than
52%
of similar roles. Most pay
$207,843–$254,750
— the blue band above.
At the midpoint, this role pays about
$237k
versus about
$231k
for comparable roles.
Based on 240 similar postings.
Employer
About Coinbase
Coinbase Global is a publicly traded cryptocurrency exchange platform where consumers can buy, sell, and store digital currencies including Bitcoin, Ethereum, and hundreds of other cryptocurrencies. Industry: Cryptocurrency Exchange & Financial Technology
Coinbase currently has
94 open roles
on FindRole.
Listed pay typically runs
$191,250–$218,900
across 85 roles with salary data.
As a Staff Machine Learning Engineer on the Identity Verification team within the Platform group, you will own the machine learning systems that determine the legitimacy of persons, documents, and capture sessions. You will lead the technical strategy for identity verification end-to-end, building document authenticity models, face-match, liveness detection, and deepfake detection. Your daily work involves developing identity-graph systems using GNNs to detect synthetic-identity rings, creating behavioral and device-intelligence models for real-time risk scoring, and managing vendor ML strategies. You will utilize Python, TensorFlow, and PyTorch to solve complex problems in computer vision, biometrics, sequence models, and NLP/LLMs. This role focuses on protecting account integrity by translating KYC/AML requirements into ML roadmaps to detect coordinated fraud during onboarding and high-risk actions.
What does a Machine Learning Engineer earn in Remote?
Median $246638 from 41 postings across 11 companies.
Machine Learning
Distributed Systems
ML Infrastructure
Streaming Pipelines
Model Serving
Distributed Training
Feature Stores
Observability
LLMs
High Availability
Low Latency
Python
LLMs
Deep Learning
Graph Neural Networks
NLP
Machine Learning
Information Retrieval
Data Mining
Statistics
Gradient-Boosted Trees
Regression
Data Workflows
Production ML Systems
Observability
Responsible AI
Machine Learning
Python
PyTorch
TensorFlow
Hugging Face Transformers
LLM
NLP
Distributed Training
Ray Train
Data Pipelines
Model Evaluation
Adversarial Training
Model Distillation
Active Learning
synthetic-data generation
Machine Learning
Python
Kubernetes
Ruby on Rails
MongoDB
Redis
Kafka
RabbitMQ
MLflow
Celery
Ray
CI/CD
Infrastructure as Code
Distributed Systems
Model Serving
Feature Stores
ML Observability
SOX
HIPAA