Remote ML Engineer & Technical Fellow, Trust & Safety

careers-indeed; United States; Remote; USD 278,000 - 474,000; Full time

Job summary

Indeed is seeking a Machine Learning Engineering Technical Fellow to lead ML solutions across Trust & Safety. You will architect strategies, guide multi-team initiatives, and mentor engineers while translating product needs into scalable ML architectures.

You will influence senior leadership, work with PMs, software engineers, and operations analysts, and help safeguard millions of daily users from fraud and security threats. Remote work within the USA is supported.

Qualifications

• Requires foundational degrees with extensive research or industry experience in ML or data science.
• Experience crafting ML solutions across large-scale data ecosystems and distributed systems.
• Ability to translate product direction into ML architecture and strategy in Trust & Safety.

Responsibilities

• Identify, architect, and drive innovative ML solutions across multiple teams.
• Collaborate with cross-functional partners to plan large-scale initiatives.
• Partner with leadership to influence long-term technical strategy.
• Guide and influence engineers and leaders to deliver initiatives.
• Mentor growth of ML engineers and leaders.
• Oversee efficiency initiatives in the ML org and processes.
• Contribute hands-on by coding and sharing best practices.

Skills

ML systems design

Backend programming

Python/R data analytics

Java/C/C++/Go

SQL databases

Education

Bachelor's degree in CS/Math/Stats

Master's degree

PhD

Tools

Spark

Hadoop

Presto/Athena/BigQuery

PostgreSQL

TensorFlow

PyTorch

SageMaker

Job description

Indeed is seeking a Machine Learning Engineering Technical Fellow to lead ML solutions across Trust & Safety. You will architect strategies, guide multi-team initiatives, and mentor engineers while translating product needs into scalable ML architectures.

You will influence senior leadership, work with PMs, software engineers, and operations analysts, and help safeguard millions of daily users from fraud and security threats. Remote work within the USA is supported.