Machine Learning Engineer Jobs in Los Angeles

Anduril Industries

We are seeking a Staff ML Tech Lead Manager to apply the latest research to solve our toughest problems. This role will be responsible for owning the entire machine learning stack for the Counter Intrusion team. You will design and train multi-sensor object detection models for perception on edge compute devices that push the boundaries of what's possible with our sensors. You will develop learning algorithms to optimize the behavior of autonomous systems. Your work will directly impact Anduril's ability to deliver cutting-edge defense technology, with the opportunity to identify and develop novel ML applications across our product portfolio.

$220k - $330k

Anduril Industries

Anduril Industries is seeking a Machine Learning Engineer to join the Counter Intrusion MSE team. This role will own the machine learning stack for the team, focusing on designing and training multi-sensor object detection models for edge compute devices and developing learning algorithms to optimize autonomous systems. You will be responsible for the end-to-end design, implementation, and performance of the ML stack, including data collection and training infrastructure. Your work will directly contribute to Anduril's mission of delivering cutting-edge defense technology and will offer opportunities to identify and develop novel ML applications across the product portfolio.

$220k - $292k

Crunchyroll is seeking a Senior Machine Learning Engineer to join the Center for Data and Insights team. This role focuses on developing and deploying scalable machine learning models for fraud detection, specifically targeting account sharing. You will collaborate with data scientists, product analysts, and data engineers to translate research into production systems, aiming to improve detection accuracy and minimize user impact. This position is crucial for enhancing subscriber growth by implementing strategies proven by leading streaming services.

$185k - $240k

Nox Metals is seeking a Machine Learning Engineer to develop production systems that enhance the speed and accuracy of quoting, material selection, planning, and factory decisions. This role involves working with complex operational data, testing hypotheses against real-world outcomes, and deploying effective solutions into production. The focus is on applied machine learning, where models must demonstrably improve decisions, withstand operational conditions, and gain user trust.

$152k - $168k