Machine Learning Engineer Jobs in Los Angeles
Los Angeles is rapidly becoming a powerhouse for Machine Learning Engineers, extending its influence beyond traditional entertainment and into cutting-edge consumer tech, aerospace, and health. Unlike the Bay Area's intense startup culture, LA offers a unique blend of established industry giants and innovative mid-sized companies, all leveraging ML to drive their next wave of growth.You'll find opportunities to ship models impacting millions of users in gaming, streaming, and e-commerce, or push the boundaries of AI in space exploration. The city's diverse economy ensures a wide range of challenging problems for ML professionals looking to make a significant impact.
The Market
Los Angeles hiring landscape
The Los Angeles ML market is currently experiencing high demand, driven by robust hiring across media, gaming, consumer tech, and growing aerospace sectors like SpaceX. While not as saturated as Silicon Valley, LA's tech scene is maturing, attracting significant investment and talent. Companies are actively seeking ML Engineers who can not only build models but also deploy and maintain them in production environments.
Demand
High demand
Competition
Moderately competitive
Hub for
media, gaming, consumer
Salary range
Quoted in USD · base + typical equity for Los Angeles
Salaries in Los Angeles typically include a base salary plus significant equity (RSUs) or bonuses, especially for mid to senior roles. Total compensation packages can vary widely based on company size, stage, and performance, with high-growth tech firms often offering substantial equity components that can boost total pay considerably.
See full machine learning engineer salary breakdown for Los AngelesWhere to apply
Top employers in Los Angeles
Snap
Headquartered in Santa Monica, Snap is a major player in augmented reality, visual search, and content recommendation, all heavily powered by machine learning.
TensorFlow, PyTorch, C++, Python, large-scale distributed ML systems.
Riot Games
A leader in the gaming industry, Riot Games uses ML for player experience personalization, anti-cheat systems, and game design insights.
Python, PyTorch, Kubeflow, big data technologies (Spark, Kafka).
Disney
With vast media properties, Disney applies ML across its streaming services (Hulu, Disney+), theme parks, and animation studios for personalization, recommendation, and content generation.
Python, TensorFlow, AWS ML services, big data platforms.
ServiceTitan
A rapidly growing SaaS company for tradespeople, ServiceTitan leverages ML for scheduling optimization, predictive maintenance, and customer service automation.
Python, PyTorch, Google Cloud ML tools, data engineering pipelines.
SpaceX
Pushing the boundaries of aerospace, SpaceX utilizes ML for spacecraft autonomy, predictive analytics for rocket performance, and satellite constellation management.
C++, Python, real-time embedded ML, high-performance computing, deep learning.
GoodRx
Focused on healthcare tech, GoodRx uses ML to personalize drug pricing, optimize recommendations, and analyze healthcare data.
Python, TensorFlow/PyTorch, AWS, data privacy and security expertise.
Hulu
A major streaming service, Hulu employs ML for content recommendations, user personalization, ad targeting, and viewer engagement.
Python, Scala, AWS, Spark, TensorFlow, large-scale data processing.
Google (LA offices)
Google has a significant presence in Los Angeles (Venice, Playa Vista), with teams focused on various products including search, ads, and YouTube, all heavily leveraging ML.
TensorFlow, Python, Go, large-scale distributed systems, recommender systems.
Playbook
Apply smarter, not faster
Showcase production experience.
Los Angeles employers, particularly in consumer tech and media, prioritize candidates who can not only build models but also deploy, monitor, and maintain them at scale. Highlight MLOps tools and cloud platforms.
Network within specific LA tech communities.
Attend virtual or in-person meetups for AI/ML in Santa Monica, Playa Vista, or Hollywood. Connecting with local engineers can uncover unadvertised roles and provide insights into company culture.
Tailor your resume to LA's key industries.
If targeting gaming (Riot Games), emphasize projects related to personalization or anti-cheat. For entertainment (Disney, Hulu), highlight recommendation systems or content generation. For aerospace (SpaceX), focus on real-time ML or embedded systems.
Prepare for system design interviews with an ML focus.
Many LA companies will test your ability to design robust and scalable ML systems. Practice architecting solutions for real-world problems common in streaming, e-commerce, or gaming.
Highlight data ethics and responsible AI.
Given LA's strong consumer and media focus, companies are increasingly concerned with ethical AI implications. Demonstrating awareness and experience in this area can be a significant advantage.
Research company-specific ATS systems.
Many LA tech companies use Greenhouse, Lever, or Ashby. Understand how to optimize your resume and application for these systems, as they often use AI to filter candidates before human review.
Visa & relocation
Working in Los Angeles
For non-US citizens, H-1B visa sponsorship is typically required for Machine Learning Engineer roles in Los Angeles. Many larger entertainment and consumer tech firms are experienced in sponsorship. Be aware of the H-1B lottery system. While English is the primary language, some roles in diverse teams might appreciate other language skills. Relocation packages vary by company and seniority.
FAQ
Machine Learning Engineer jobs in Los Angeles
What you should know.
In Los Angeles, ML Engineers often progress from junior roles, focusing on model implementation and MLOps, to mid-level roles taking ownership of features, and then to senior or staff positions involving architecture, team leadership, or specialized research in areas like computer vision or NLP relevant to LA's media and aerospace sectors.
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