Top 414 Machine learning engineer Jobs in El Segundo, Ca

Software Engineer II - ML and Observability
Disney Entertainment and ESPN Product & Technology —Glendale, CA
- $117,500 - $165,000 a year
- Computer science
- Computer Science
- Mid-level
13d
Rainmaker Fellow, Machine Learning
Rainmaker Technology Corporation —El Segundo, CA
- $8,000 a month
- Full-time
- Computer Science
- Office
- Math
- Health insurance
- Dental insurance
Quick Apply
Director of AI
Bambee —Glendale, CA
- $180,000 - $200,000 a year
- Full-time
- Management
- System design
- Office
- Health insurance
- Dental insurance
Quick Apply
Software Engineer Analyst - AI Trainer
DataAnnotation —El Segundo, CA
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
Back End Developer - AI Trainer
DataAnnotation —El Segundo, CA
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
Sr. Embedded Software Engineer - NVidia
SafetySpect Inc. —Sherman Oaks, CA
- Up to $100 an hour
- Contract
- Background check
- Computer Science
- Master's degree
Quick Apply
Sr Software Engineer
Disney Experiences —Glendale, CA
- $141,900 - $190,300 a year
- Computer science
- Azure
- Computer Science
Machine Learning Engineer - AI Trainer
DataAnnotation —California
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
AI-Assisted QA Engineer - AI Trainer
DataAnnotation —Los Angeles, CA
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
Engineer / Principal Engineer Software - Autonomy
Northrop Grumman —Redondo Beach, CA
- $91,800 - $171,000 a year
- Overtime
- Computer science
- Computer Science
- Java
- Paid holidays
- Disability insurance
6d
Manager, Software Engineering – BI & Analytics
Disney Entertainment and ESPN Product & Technology —Glendale, CA
- $171,600 - $241,000 a year
- Hybrid work
- Computer science
- Computer Science
- System design
Machine Learning Engineer
Adidev Technologies Inc —Santa Monica, CA
- Azure
- Computer Science
- SQL
- Relocation assistance
Quick Apply
AI/ML Engineer
Carter Support Services —Burbank, CA
- Full-time
- 7 years
- Computer Science
- System design
Quick Apply
Senior ML Ops Engineer (Machine Learning Infrastructure)
Parallel Systems —Los Angeles, CA
- $150,000 - $250,000 a year
- Azure
- Computer Science
- 5 years
Quick Apply
Machine Learning Engineer
Hang —Los Angeles, CA
- Full-time
- Remote
- Computer Science
- 5 years
- Research
- Health insurance
- Dental insurance
Machine Learning Researcher
Rainmaker Technology Corporation —El Segundo, CA
- $160,000 - $220,000 a year
- Full-time
- Recruiting
- Senior level
- Paid parental leave
- Relocation assistance
Quick Apply
Machine Learning Engineer - LLMs
Hadrian Automation —Torrance, CA
- $160,000 - $300,000 a year
- Full-time
- Computer Science
- 5 years
- Doctor of Philosophy
- Health insurance
- Dental insurance
Machine Learning Engineer - Multimodal
Hadrian Automation —Torrance, CA
- $160,000 - $300,000 a year
- Full-time
- Computer Science
- 5 years
- Doctor of Philosophy
- Health insurance
- Dental insurance
Sr. AI Engineer
Funko —Burbank, CA
- $151,500 - $181,500 a year
- Full-time
- Computer Science
- Salesforce
- System design
- 401(k) matching
Quick Apply
Machine Learning Engineer, Growth
Whatnot —Los Angeles, CA
- $190,000 - $300,000 a year
- Full-time
- 5 years
- SQL
- Senior level
- Paid parental leave
- Health insurance

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Software Engineer II - ML and Observability

Disney Entertainment and ESPN Product & Technology
Glendale, CA

Apply Now

Job Details

$117,500 - $165,000 a year
13 days ago

Qualifications

AI models
Containerization systems
Software engineering
Big data projects
Predictive modeling analysis
Generative models
AI platforms (beyond public GPTs)
Scalable systems
Computational framework
Microservices
Production systems
Machine intelligence
Model deployment
Version control systems
Implementing APIs
Cloud Native Design
GitHub
Scalability
Developing and maintaining backend systems
Model training
Distributed computing
Cross-functional collaboration
Model evaluation
Machine learning frameworks
Design (software development lifecycle)
Feature engineering
Cross-functional communication

Full Job Description

Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally.

The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.

Here are a few reasons why we think you’d love working here:

Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.
Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans’ connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally.
Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and solve complex and distinctive technical problems.

Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity.

The Observability & Insights group ensures that Disney Streaming’s distributed systems are reliable, performant, and transparent. We build ML-powered detection systems, telemetry pipelines, intelligent alerting, and developer experience tooling that enable engineers across the organization to understand system health and take action quickly.

Job Summary:

As a Software Engineer II, you will contribute to building and operating machine learning models and AI-driven systems that enhance the reliability of Disney’s streaming ecosystem. You will work on production ML models — including autoencoders for anomaly detection, statistical threshold systems, and LLM-powered investigation gates — that transform telemetry and signals into automated detection and proactive insights across Disney+, Hulu, and ESPN.

You will participate in the ML lifecycle: feature engineering on time-series data, model training on GPU clusters, real-time inference pipelines, and model improvement. You will partner with engineering and platform teams to embed intelligence into operational workflows, improving system resilience and customer experience at scale.

As a Software Engineer II, you will deliver features end-to-end, participate in model design and code reviews, and grow into owning components of production ML systems within a fast-paced, AI-native engineering environment.

Responsibilities and Duties of the Role:

Contribute to production ML models for anomaly detection, including autoencoders, statistical threshold models, and ensemble detection systems that monitor thousands of microservices
Develop and improve ML training pipelines using PyTorch on GPU clusters — including feature engineering, model training, threshold calibration, and deployment through MLflow
Engineer features from time-series telemetry (error ratios, latency, infrastructure metrics) — implementing windowing, normalization, and data quality safeguards for model consumption
Support real-time ML inference systems that run prediction cycles in production — including model serving, detection logic, and alert generation
Build AI-driven capabilities using foundation models (Claude, GPT-4) for automated investigation and reasoning over system health signals
Create and deploy scalable APIs and services (FastAPI) that deliver ML predictions, health status, and insights to engineering teams and operational tooling
Partner cross-functionally to embed ML intelligence into workflows such as incident response and release validation
Contribute to model improvement through evaluation, retraining, and threshold tuning

Basic Qualifications

3+ years of professional software engineering experience building, scaling, and maintaining ML-powered backends, data-driven microservices, and production RESTful APIs using FastAPI or Flask
Strong hands-on experience in end-to-end ML engineering using PyTorch or TensorFlow spanning model architecture selection, feature engineering, training, and evaluation (e.g., autoencoders, sequential/time-series models like RNNs/GRUs, anomaly detection, or transformers).
Proficiency in Python and at least one ML framework (PyTorch preferred)
Experience managing model experiments, lineage, and hyperparameter tracking using tools like MLflow or Weights & Biases.
Practical experience processing, transforming, and querying large-scale telemetry, event, or time-series datasets using PySpark, Pandas, or Databricks.
Experience with modern development practices including version control (GitHub), containerization (Docker), and cloud-native deployments (AWS/EKS)
Strong analytical and troubleshooting skills with the ability to iterate rapidly
Strong collaboration and communication skills, with the ability to work cross-functionally

Preferred Qualifications

Experience with foundation model integration, prompt engineering/evaluation, RAG architectures, or orchestration frameworks like LangChain or LangGraph
Familiarity with observability platforms (e.g., Datadog, Grafana, Conviva) and high-volume telemetry data
Experience with large-scale data platforms (Databricks, Spark, Snowflake)

Required Education

Bachelor’s degree in Computer Science, Machine Learning, Statistics, Engineering, or equivalent experience

#disneytech

The hiring range for this position in Glendale, CA is $117,500 - $157,500 per year, and in New York City, NY is $123,000 - $165,000 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Apply Now

Refine Your Search

machine learning engineer jobs in el segundo, ca

Software Engineer II - ML and Observability

Rainmaker Fellow, Machine Learning

Director of AI

Software Engineer Analyst - AI Trainer

Back End Developer - AI Trainer

Sr. Embedded Software Engineer - NVidia

Sr Software Engineer

Machine Learning Engineer - AI Trainer

AI-Assisted QA Engineer - AI Trainer

Engineer / Principal Engineer Software - Autonomy

Manager, Software Engineering – BI & Analytics

Machine Learning Engineer

AI/ML Engineer

Senior ML Ops Engineer (Machine Learning Infrastructure)

Machine Learning Engineer

Machine Learning Researcher

Machine Learning Engineer - LLMs

Machine Learning Engineer - Multimodal

Sr. AI Engineer

Machine Learning Engineer, Growth

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