Senior Software Engineer

Robinhood

Hybrid

Quick summary

Work type: Hybrid
Location: Menlo Park, CA
Salary: $213,512–$245,000 / yr
Posted: 1 day ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $190k

This role $229k

$146k most similar roles pay here $256k

This role pays more than 83% of similar roles. Most pay $165,000–$215,000 — the shaded band above. At the midpoint, this role pays about $229k versus about $190k 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 78 open roles on FindRole.

Listed pay typically runs $187,000–$220,000 across 77 roles with salary data.

Most-posted roles

View all roles at Robinhood

At a glance

TL;DR · Senior Software Engineer

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As a Senior Software Engineer on the core platforms team, you will design and develop complex machine learning models and AI-powered services that support critical product features and decision-making systems. Your responsibilities include leading end-to-end ML pipeline development from data ingestion to model deployment, collaborating with cross-functional teams to solve business problems through scalable ML solutions, and ensuring high standards of software engineering in your codebases. You will work with Python, Java, Scala, or GoLang, leveraging machine learning frameworks, data processing tools, and model monitoring systems to deliver reliable and low-latency inference services. This role demands expertise in supervised and unsupervised learning techniques, ML pipeline deployment, and adherence to security and compliance standards for sensitive data handling.

Skills

Python Java Scala GoLang Machine learning frameworks ML pipeline and deployment tools Model monitoring and observability tools Testing and artifact versioning tools

What you'll do

Design and develop complex machine learning models for core product features.
Lead the implementation of end-to-end ML pipelines from data ingestion to deployment.
Translate business problems into scalable machine learning solutions with engineering teams.
Own ML components through experimentation, architecture, deployment, and monitoring.
Ensure low-latency inference and reliable service operation by integrating ML models.

What we're looking for

5+ years of experience in software engineering or a related field, with a Bachelor’s degree.
Expertise in Python, Java, Scala, or GoLang for developing complex machine learning models and services.
Proficiency in designing end-to-end ML pipelines including data ingestion, feature engineering, model training, evaluation, deployment, and monitoring.
Experience with machine learning frameworks, data processing tools, and testing/artifact versioning systems.
Strong background in supervised and unsupervised learning techniques, model performance optimization, and production system integration.

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