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Python Ml Developer Jobs in San Marcos, CA (NOW HIRING)

PlayStation Global

AI Engineer

San Diego, CA · On-site

Role overview Within D2C Data Science, the D2C ML Engineering team is seeking an AI Software ... Develop scalable APIs, microservices, and event-driven workflows in Python or Java, with attention ...

Qualcomm

Senior Engineer - Machine Learning

San Diego, CA · On-site

$140K - $211K/yr

We are seeking a highly skilled Core ML Engineer to design, develop, and optimize machine learning ... Preferred Qualifications Strong programming skills in Python and at least one systems language (C ...

Qualcomm

Senior Engineer - Machine Learning

San Diego, CA · On-site

$110K - $152K/yr

We are seeking a highly skilled Core ML Engineer to design, develop, and optimize machine learning ... Preferred Qualifications Strong programming skills in Python and at least one systems language (C ...

Qualcomm

Senior Engineer - Machine Learning

San Diego, CA · On-site

$110K - $152K/yr

We are seeking a highly skilled Core ML Engineer to design, develop, and optimize machine learning ... Preferred Qualifications Strong programming skills in Python and at least one systems language (C ...

ICW Group

Applied AI Engineer

San Diego, CA · On-site

Optional AI/ML certifications (e.g., TensorFlow Developer, Hugging Face Course, or Generative AI ... Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.

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All JobsPython Ml Developer JobsPython Ml Developer Jobs in San Marcos, CA

Python Ml Developer information

See San Marcos, CA salary details

$13

$59

$87

How much do python ml developer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for python ml developer in San Marcos, CA is $59.73, according to ZipRecruiter salary data. Most workers in this role earn between $49.23 and $67.84 per hour, depending on experience, location, and employer.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What are the key skills and qualifications needed to thrive as a Python ML Developer?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What cities near San Marcos, CA are hiring for Python Ml Developer jobs? Cities near San Marcos, CA with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in San Marcos, CA as of August 2026, with employment types broken down into 2% Internship, 81% Full Time, 10% Part Time, 1% Temporary, and 6% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $124,231 per year, or $59.7 per hour.

Senior ML Infrastructure Engineer - VE Algorithms

Apple

San Diego, CA • On-site

$115K - $156K/yr

Full-time

Re-posted 19 days ago

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

Are you passionate about groundbreaking modeling technologies to enrich billions of people? We are the Video Engineering (VE) team at Apple developing cutting-edge video and machine learning algorithms to build the photo and video features that Apple devices are well known for. We are seeking engineers experienced in building infrastructure for training, adapting and deploying large-scale generative models. In this role, you will be working closely with a cross functional team of algorithm design and infrastructure engineers to benchmark, prototype and steer algorithmic choices to best fit our training and deployment infrastructure.
Description
In this role you will be technically hands on, with deep subject matter expertise in ML infrastructure, focusing on distributed and parallelized training of images and videos, and efficient utilization of training hardware.
Minimum Qualifications
BS in Electrical Engineering/Computer Science or a related field, with a focus on machine learning and minimum 3 years industry experience.
Experience in training and adapting LLMs.
Advanced fluency in PyTorch.
Excellent programming skills in Python or C++ and experience contributing software to large projects.
Experience with distributed training of large models.
Preferred Qualifications
Strong Machine Learning fundamentals.
Experience working with large cross-functional and diverse teams.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

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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