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Machine Learning Engineer Jobs in Simi Valley, CA

GOAT Group

Staff Machine Learning Engineer

Los Angeles, CA · On-site

$187K - $233K/yr

ROLE OVERVIEW Grailed is looking for a Staff Machine Learning Engineer to help us build the models and systems that connect buyers to the inventory they're looking for -- and surface things they didn ...

Paramount

Lead Machine Learning Engineer

Burbank, CA · On-site

$109K - $143K/yr

Applied Machine Learning Group (AMLG) → ML Platform Level: Lead / Senior Lead (IC4-IC5) Overview We are seeking a Senior Lead / Lead ML Platform Engineer to architect and own the technical ...

Paramount

Lead Machine Learning Engineer

Burbank, CA · On-site

$109K - $143K/yr

ML Platform Lead Engineer, Training & Inference Organization: Applied Machine Learning Group (AMLG) ML Platform Level: Lead / Senior Lead (IC4-IC5) Overview We are seeking a Senior Lead / Lead ML ...

Capgroup

Senior Machine Learning Engineer

Los Angeles, CA · On-site

$132K - $174K/yr

Access on-demand professional development resources that allow you to hone existing skills and learn new ones "I can succeed as a Machine Learning Engineer at Capital Group" We are looking for ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Simi Valley, CA

Machine Learning Engineer information

See Simi Valley, CA salary details

$32.5K

$132.9K

$199.8K

How much do machine learning engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for machine learning engineer in Simi Valley, CA is $132,928.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,800.00 and $160,000.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs

What are the most commonly searched types of Machine Learning Engineer jobs in Simi Valley, CA?

The most popular types of Machine Learning Engineer jobs in Simi Valley, CA are:

What job categories do people searching Machine Learning Engineer jobs in Simi Valley, CA look for?

The top searched job categories for Machine Learning Engineer jobs in Simi Valley, CA are:

What cities near Simi Valley, CA are hiring for Machine Learning Engineer jobs?

Cities near Simi Valley, CA with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Simi Valley, 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 $132,928 per year, or $63.9 per hour.

Sr Machine Learning Engineer

Teklead Corp

Agoura Hills, CA • On-site

$67 - $80/hr

Full-time

Re-posted 11 days ago

Job description

US CITIZENS & PERMANENT RESIDENTS ONLY
Job Location: Westlake Village, CA (Onsite, NO REMOTE)
Excellent contract-to-hire job opportunity
Looking for a Sr. ML NLP Developer to join an Artificial Intelligence team. Join our Tech hub and work in a collaborative environment where talent is valued and creativity is encouraged. 
 
Description:
 
●       Work on state of the art Machine Learning, Natural Language Processing and Gen AI projects.
●       Learn new technologies and focus on what you're passionate about.
 
Qualifications::
 
●     3+ years experience with Machine Learning and Natural Language Processing
●     4+ years experience with Python 
●     Experience with ML NLP & AI libraries.
●     Experience with AWS services.
●     Experience with SQL.
●     Experience with NER and Search technology such BM25, BM42 is  a plus
●     Experience with Gen AI, Agentic AI , LLM training  is a plus.
●     BS in Computer Science or equivalent degree (MS in ML is preferred).
●     Ability to work in an agile collaborative environment.
●     Excellent  communication skills are required.