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Sr Machine Learning Engineer Jobs in Rancho Palos Verdes, CA

Absurd Ventures

Senior Machine Learning Engineer

Santa Monica, CA · On-site +1

$165K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As Senior Machine Learning Engineer, you will work alongside gameplay engineers, producers, designers, and artists to integrate intelligent, adaptive systems for our toolchain and in the realtime ...

Yum! Brands

Sr Machine Learning Engineer

Irvine, CA

$112K - $154K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning platforms used for media measurement and customer analytics. This role partners closely with Data ...

Yum Brands

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning platforms used for media measurement and customer analytics. This role partners closely with Data ...

Yum

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning platforms used for media measurement and customer analytics. This role partners closely with Data ...

thatgamecompany

Senior Machine Learning Engineer

Los Angeles, CA · Remote

$120K - $205K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Senior Machine Learning Engineer Remote US & Canada We are seeking a highly motivated and autonomous Senior Machine Learning Engineer to join our team. In this role, you will be a driving force ...

Warnerbros

Senior Machine Learning Engineer

Burbank, CA · On-site

$111K - $153K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Senior Machine Learning Engineer Team: Data & Audience Platform (DAP) - ML Engineering What We Do Warner Bros. Discovery (WBD) is home to the world's most iconic entertainment, news, and sports ...

Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling advanced software systems to automate Design for Manufacturing analysis. Responsibilities : • ...

Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

As a Senior Machine Learning Engineer, you will design, build, and scale advanced software systems that automate Design for Manufacturing analysis, leveraging deep learning and computer vision ...

FieldAI

Senior Machine Learning Engineer

Irvine, CA · On-site

$180K - $215K/yr

... engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. What You'll Get To Do Machine Learning ...

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Showing results 1-20

All JobsSr Machine Learning Engineer JobsSr Machine Learning Engineer Jobs in Rancho Palos Verdes, CA

Sr Machine Learning Engineer information

See Rancho Palos Verdes, CA salary details

$63.8K

$135.8K

$196.8K

How much do sr machine learning engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for sr machine learning engineer in Rancho Palos Verdes, CA is $135,763.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $153,900.00 per year, depending on experience, location, and employer.

What is the difference between Sr Machine Learning Engineer vs Data Scientist?

AspectSr Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, ML, or related fields; experience with ML frameworksBachelor's/Master's/PhD in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds models, interprets data insights for business
Industry UsageTech, finance, healthcare, e-commerceResearch, marketing, finance, tech

While both roles involve working with data and models, Sr Machine Learning Engineers focus on building and deploying scalable ML systems, whereas Data Scientists primarily analyze data and develop insights. The roles often overlap but differ in technical focus and responsibilities.

How does a Sr Machine Learning Engineer typically collaborate with data scientists and software engineers within a project team?

Sr Machine Learning Engineers frequently act as a bridge between data scientists, who focus on model development and experimentation, and software engineers, who handle system integration and production deployment. They translate prototype models into scalable, production-ready solutions, ensuring that models are optimized for real-world performance. Collaboration often involves reviewing code, aligning on data pipeline requirements, and participating in regular team meetings to address technical and business objectives. This cross-functional teamwork is essential for delivering reliable machine learning products.

What is a Sr Machine Learning Engineer?

Senior Machine Learning Engineers are experienced professionals who design, develop, and implement machine learning models and systems. They work on complex problems, lead technical projects, and often mentor junior engineers. Their responsibilities include data preprocessing, model selection, algorithm development, and optimizing solutions for scalability and performance. Senior ML Engineers also collaborate closely with data scientists, software engineers, and stakeholders to integrate machine learning into products and services.

What are the key skills and qualifications needed to thrive as a Sr Machine Learning Engineer?

To thrive as a Sr Machine Learning Engineer, you need advanced expertise in machine learning theory, programming (Python, R), data modeling, and a strong background in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP), and relevant certifications (like TensorFlow Developer) is highly beneficial. Strong problem-solving skills, effective communication, and the ability to lead and mentor teams set top candidates apart. These skills ensure the ability to design scalable ML solutions, collaborate effectively, and drive impactful business outcomes.
What cities near Rancho Palos Verdes, CA are hiring for Sr Machine Learning Engineer jobs? Cities near Rancho Palos Verdes, CA with the most Sr Machine Learning Engineer job openings:
Sr Machine Learning Engineer jobs near you
Infographic showing various Sr Machine Learning Engineer job openings in Rancho Palos Verdes, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $135,763 per year, or $65.3 per hour.

Senior Machine Learning Engineer

Absurd Ventures

Santa Monica, CA • On-site, Remote

$165K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago

Job description

Summary

We are seeking a Senior Machine Learning Engineer to help shape the future of content systems and real-time gameplay using cutting-edge machine learning techniques. As Senior Machine Learning Engineer, you will work alongside gameplay engineers, producers, designers, and artists to integrate intelligent, adaptive systems for our toolchain and in the realtime game. You will be a key player in evolving how our games are built and experienced. 

Core Responsibilities 

  • Work with team leads to develop and implement a machine learning (ML) strategy to maximize the potential to enhance our workflow and game systems.  Educate the team on what is possible with ML. 
  • Design and deploy LLM techniques, including agentic workflow and toolchain enhancements. 
  • Build pipelines that train on gameplay data and deploy models optimized for real-time inference.  Research and implement on-device small language and other local  models for scalable incorporation of ML features in the live game experience. 
  • Partner with design and gameplay teams to prototype and test ML-powered features such as smart NPC behaviors, simulation approximation and dynamic adaptive environments. 
  • Analyze gameplay telemetry to train models that enhance engagement, retention, and personalization. 
  • Develop internal tools using ML to streamline workflows for production, art, animation, or audio pipelines within Unreal Engine. 
  • Stay current with ML and real-time AI trends and ensure performance scalability across platforms. 
  • Mentor other engineers and promote best practices in integrating ML techniques. 

Core Qualifications 

  • 5+ years of machine learning experience, with at least 2 years integrating models into real-time or interactive environments. 
  • Strong C++ programming experience. 
  • Proficient in Python and ML libraries such as PyTorch or TensorFlow. 
  • Familiarity with training and deploying models for real-time inference with GPU/CPU constraints in mind. 
  • Understanding of supervised and unsupervised learning, reinforcement learning, and generative models. 
  • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field. 

Plus If 

  • Experience with the Unreal Engine toolset (Blueprints, plugins, editor scripting, etc.). 
  • Experience building or using ML tools in a game development context.  
  • Knowledge of generative models (e.g. Diffusion, GANs, MCPs) for workflow augmentation. 

Description 

  • Full-time job with benefits. 
  • Role is on-site in Santa Monica, CA. 
  • Office is located near downtown Santa Monica - near metro and freeways. 

The base pay range for this position is $165,000 to $200,000 per year. Actual compensation is based on market location and may vary depending on job-related knowledge, skills, and experience. We also offer a competitive package of benefits including vacation time, sick time, company holidays, parental leave, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) matching to regular full-time employees. Certain roles may also be eligible for bonus and equity. 

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