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Senior Machine Learning Engineer Jobs in Bellflower, CA

Yum! Brands

Sr Machine Learning Engineer

Irvine, CA

$112K - $154K/yr

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

$112K - $154K/yr

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

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 ...

Warnerbros

Senior Machine Learning Engineer

Burbank, CA

$111K - $153K/yr

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 ...

Warnerbros

Senior Machine Learning Engineer

Burbank, CA · On-site

$111K - $153K/yr

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 ...

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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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Bellflower, CA

Senior Machine Learning Engineer information

See Bellflower, CA salary details

$62.2K

$132.2K

$191.8K

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

As of Aug 7, 2026, the average yearly pay for senior machine learning engineer in Bellflower, CA is $132,249.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,200.00 and $150,000.00 per year, depending on experience, location, and employer.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are popular job titles related to Senior Machine Learning Engineer jobs in Bellflower, CA? For Senior Machine Learning Engineer jobs in Bellflower, CA, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Engineer jobs in Bellflower, CA look for? The top searched job categories for Senior Machine Learning Engineer jobs in Bellflower, CA are:
What cities near Bellflower, CA are hiring for Senior Machine Learning Engineer jobs? Cities near Bellflower, CA with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Bellflower, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $132,249 per year, or $63.6 per hour.

Senior Machine Learning Engineer

Absurd Ventures

Santa Monica, CA • On-site

$165K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 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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