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Python Machine Learning Jobs in San Diego, CA (NOW HIRING)

AbbVie

Lead Machine Learning Engineer

San Diego, CA · On-site

$108K - $143K/yr

Strong programming skills in Python and understanding of core computer science principles * Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace ...

Bespoke Labs

Machine Learning Engineer

San Diego, CA · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Qualcomm

Senior Engineer - Machine Learning

San Diego, CA · On-site

$110K - $152K/yr

Preferred Qualifications Strong programming skills in Python and at least one systems language (C++/Rust/Go) Solid understanding of: * Machine learning fundamentals (supervised, unsupervised, deep ...

Qualcomm

Senior Engineer - Machine Learning

San Diego, CA · On-site

$110K - $152K/yr

Preferred Qualifications Strong programming skills in Python and at least one systems language (C++/Rust/Go) Solid understanding of: * Machine learning fundamentals (supervised, unsupervised, deep ...

Qualcomm

Machine Learning R&D

San Diego, CA · On-site

... Python, Java, or C++. • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). • Hands-on industry expertise in Agentic AI tools, frameworks, and ...

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How much do python machine learning jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for python machine learning in San Diego, CA is $62.24, according to ZipRecruiter salary data. Most workers in this role earn between $51.30 and $70.67 per hour, depending on experience, location, and employer.

What does a typical workday look like for a Python Machine Learning professional?

A typical workday for a Python Machine Learning professional often involves tasks like cleaning and pre-processing data, developing and training machine learning models, and evaluating their performance using statistical metrics. You'll collaborate with data engineers, data scientists, and product managers to understand business requirements and integrate models into production environments. Regularly, you'll participate in code reviews, team meetings, and troubleshooting sessions to optimize model performance and address any issues. This dynamic role requires both independent project work and frequent cross-functional collaboration to ensure that solutions meet real-world needs.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence or machine learning, often requiring advanced skills in programming, data analysis, and deep learning frameworks. Such roles are usually found in senior or executive levels, involving leadership, research, or specialized technical expertise, and may require relevant certifications or advanced degrees.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation may include base salary, bonuses, and stock options, especially in competitive markets.

Which 3 jobs will survive AI?

For Python machine learning professionals, roles such as data scientists, machine learning engineers, and AI researchers are likely to persist due to their need for complex problem-solving, domain expertise, and ongoing innovation. These jobs require advanced programming skills, understanding of algorithms, and the ability to adapt to new tools and techniques as AI evolves. Continuous learning and staying updated with frameworks like TensorFlow or PyTorch are essential for long-term relevance.

What is a Python Machine Learning job?

A Python Machine Learning job involves developing, training, and deploying machine learning models using Python. Professionals in this role work with libraries like TensorFlow, scikit-learn, and PyTorch to analyze data, build predictive models, and optimize algorithms. Responsibilities often include data preprocessing, feature engineering, model evaluation, and deploying models to production environments. These roles are commonly found in industries like finance, healthcare, and e-commerce, where data-driven decision-making is crucial.

What are the key skills and qualifications needed to thrive in the Python Machine Learning position, and why are they important?

To thrive as a Python Machine Learning professional, you need a strong background in statistics, programming (especially Python), data analysis, and machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Proficiency in libraries and frameworks like scikit-learn, TensorFlow, PyTorch, and familiarity with data visualization and version control tools are highly valued, as are relevant certifications such as TensorFlow Developer or AWS Machine Learning. Strong problem-solving ability, effective communication, and teamwork skills are important for collaboration and translating technical findings to non-technical stakeholders. These competencies enable you to design, develop, and deploy robust machine learning models that drive business solutions and innovation.

What is the salary of machine learning with Python?

The salary for a Python machine learning engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Professionals with strong skills in data analysis, deep learning, and relevant tools like TensorFlow or scikit-learn tend to earn higher salaries.
What are the most commonly searched types of Python Machine Learning jobs in San Diego, CA? The most popular types of Python Machine Learning jobs in San Diego, CA are:
What are popular job titles related to Python Machine Learning jobs in San Diego, CA? For Python Machine Learning jobs in San Diego, CA, the most frequently searched job titles are:
What job categories do people searching Python Machine Learning jobs in San Diego, CA look for? The top searched job categories for Python Machine Learning jobs in San Diego, CA are:
Python Machine Learning jobs near you
Infographic showing various Python Machine Learning job openings in San Diego, CA as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $129,457 per year, or $62.2 per hour.
Machine Learning Engineer - iCloud Anti-Abuse

Machine Learning Engineer - iCloud Anti-Abuse

Apple

San Diego, CA • On-site

Full-time

Posted just now

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 670 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers

Job description

Apple's iCloud Anti-Abuse team protects hundreds of millions of users from spam, phishing, and malicious content across Mail, Calendar, and Contacts.
We are looking for an ML engineer who can build and ship models in production distributed systems. You will design, train, and deploy ML models that operate at iCloud scale, working across the full lifecycle from data pipelines to real-time inference. You will partner with backend engineers and cross-functional teams in trust and safety, operations, and product to deliver measurable improvements in user protection.
Description
This role sits at the intersection of machine learning and distributed systems engineering. You will play a foundational role in building the team's ML capabilities - owning ML-driven abuse detection: building features from high-volume data streams, training and evaluating classification and ranking models, deploying them into low-latency serving infrastructure, and closing
the feedback loop. The systems you build will run at massive scale across Apple's infrastructure.
Success in this role means writing production-quality code, reasoning about distributed system tradeoffs, and iterating quickly on model performance.
This is a high-impact role - your work will directly determine whether abuse reaches iCloud users or gets stopped.
Minimum Qualifications
3+ years of hands-on machine learning engineering experience, including training and deploying models in production
Strong programming skills in one or more production languages (e.g., Java, Scala, Kotlin, Go, Python)
Experience building and operating ML pipelines: data processing, feature engineering, training, serving, and monitoring
Solid foundation in distributed systems - you can reason about scalability, fault tolerance, and latency tradeoffs
Familiarity with classification, ranking, or anomaly detection techniques
Ability to drive projects independently from problem definition to production
BS in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience
Preferred Qualifications
5+ years of ML engineering experience (or equivalent depth) with models running at scale in production
Experience with abuse detection, fraud prevention, content filtering, or trust and safety systems
Expertise in NLP or text classification applied to email, messaging, or similar domains
Experience with streaming/real-time ML inference in addition to batch processing
Familiarity with techniques for scoring, ranking, or classifying actors and behaviors at scale
Understanding of privacy-preserving ML techniques and responsible data handling
Experience with email protocols (SMTP, IMAP) or messaging infrastructure
MS/PhD in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience

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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