This role pays more than
92%
of similar roles. Most pay
$176,000–$246,150
— the shaded band above.
At the midpoint, this role pays about
$278k
versus about
$211k
for comparable roles.
Based on 240 similar postings.
Employer
About Robinhood
Robinhood is a financial technology company offering commission-free stock, ETF, options, and cryptocurrency trading through its mobile app, aimed at democratizing access to financial markets. Industry: Financial Technology & Investment App
Robinhood currently has
42 open roles
on FindRole.
Listed pay typically runs
$196,000–$230,000
across 39 roles with salary data.
Senior Machine Learning Engineer, AI Platform & Agentic Apps joins the AI Platform & Agentic Apps team to build a robust agent platform for internal tools and customer-facing interactions. You will design and build the core agent harness involving orchestration, tool integrations, context management, and memory systems. Key responsibilities include developing trajectory-level evaluation systems to measure reasoning, building action guardrails like permission models and sandboxing, and creating SDKs for other teams to adopt. The role requires expertise in Python, distributed systems, and LLM-powered production environments. You will solve the challenge of making agentic AI trustworthy within a regulated financial environment by implementing tool-call scoring, simulation environments, and automated CI regression gates. This position focuses on building scalable infrastructure that enables agents to perform complex actions while ensuring safety through rigorous evaluation methodologies and robust technical guardrails.
What does a Machine Learning Engineer earn in California?
Median $241375 from 180 postings across 30 companies.
Python
C++
TensorFlow
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Ray
Kubeflow
SageMaker
Triton
Qdrant
ChromaDB
Elasticsearch
Vector Databases
Distributed Systems
Feature Store
Model Serving
Data Pipelines
Machine Learning
LLM Fine-tuning
Agentic Workflows
Python
Recommendation Systems
Deep Learning
Feature Engineering
ML Infrastructure
Model Deployment
Monitoring
Data Engineering
Optimization
Machine Learning
Python
PyTorch
TensorFlow
MLOps
AWS
GCP
Generative AI
Computer Vision
Natural Language Processing
C++
Java
MLflow
Kubeflow
Data Pipelines
Linear Algebra
Statistics
Calculus