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Machine Learning Engineer Python Jobs in Glendale, CA

Doist

Machine Learning Engineer - Associate

El Segundo, CA · On-site

$120 - $170/hr

The Company is currently seeking a Machine Learning Engineer who can develop cutting edge Deep ... Develop and deliver production-quality code (mainly Python) Required Qualifications: * Must be ...

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Machine Learning Engineer Python information

See Glendale, CA salary details

$24.4K

$148.2K

$214.5K

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

As of Aug 23, 2026, the average yearly pay for machine learning engineer python in Glendale, CA is $148,246.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,000.00 and $174,200.00 per year, depending on experience, location, and employer.

What is a machine learning engineer python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.

What are the key skills and qualifications needed to thrive as a machine learning engineer python?

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

What are some common challenges faced by machine learning engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

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

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

What are popular job titles related to Machine Learning Engineer Python jobs in Glendale, CA?

For Machine Learning Engineer Python jobs in Glendale, CA, the most frequently searched job titles are:

What cities near Glendale, CA are hiring for Machine Learning Engineer Python jobs?

Cities near Glendale, CA with the most Machine Learning Engineer Python job openings:

Machine Learning Engineer Python jobs near you
Infographic showing various Machine Learning Engineer Python job openings in Glendale, CA as of June 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $148,246 per year, or $71.3 per hour.

Machine Learning Engineer - Vision Products Software

Apple

Los Angeles, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

AI is transforming how people interact with technology, and Apple is building the next generation of intelligent, privacy-preserving experiences across its platforms. We're looking for a Machine Learning Engineer to help prototype, build, and ship conversational and generative AI systems that feel deeply human, responsive, and trustworthy.
In this role, you'll work at the intersection of machine learning research and product engineering-rapidly iterating on new ideas, translating them into scalable systems, and partnering closely with cross-functional teams to bring them to life. You'll contribute to foundational capabilities that power conversational understanding, generation, personalization, and embodied interactions for Apple's Vision devices
Description
As a Machine Learning Engineer on our team, you will design, prototype, and deploy ML-driven features that power conversational and generative experiences. You'll work hands-on with modern model architectures; ranging from large language and multimodal models to ranking and personalization system and integrate them into production frameworks used at scale.
You'll collaborate closely with researchers, product managers, designers, and platform engineers to align on problem definitions, iterate on solutions, and ship features that meet Apple's standards for reliability, privacy, and delight. This role balances experimentation with execution: moving quickly when exploring new ideas, and rigorously when transitioning work into production.
Minimum Qualifications
Phd +3yrs or MS + 5yrs relevant experience in related field (AIML, CS, EE etc.)
Strong experience with deep learning, particularly in natural language processing and/or multimodal models
Hands-on experience with modern generative AI systems and computer vision models, including prompt design, fine-tuning, and evaluation
Familiarity with ranking, retrieval, and personalization algorithms
Proficiency in Python and experience with ML frameworks such as PyTorch (TensorFlow a plus)
Experience integrating ML models into production systems
Strong communication skills and the ability to collaborate across disciplines
Curiosity, pragmatism, and a product-oriented mindset
Preferred Qualifications
Experience with conversational AI systems or interactive ML-driven experiences
Exposure to multimodal or embodied AI systems (voice, animation, agents, or real-time interaction)
Familiarity with Apple platforms, frameworks, or ML infrastructure
Evaluation based measurement expertise using eval frameworks to measure non-deterministic experiences for consumer facing products

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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