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Machine Learning Engineer Python Jobs in California

Apple

Machine Learning Engineer

Cupertino, CA · On-site

Proficiency in one or more object-oriented programming languages such as Python, Java, or C++, with hands-on experience building distributed systems.Experience building large-scale machine learning ...

Machina Labs

Machine Learning Engineer

Los Angeles, CA · On-site

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ... Write clean, well-documented, and production-quality Python code. * Communicate findings, results ...

Machina Labs

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ... Write clean, well-documented, and production-quality Python code. * Communicate findings, results ...

Qualcomm

Machine Learning Engineer

San Diego, CA · On-site

$122.80K - $184.20K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: As a leading ... g., Python, R, C, C++) • 1+ year of experience using statistics and probability (e.g ...

Skild AI

Machine Learning Engineer

San Mateo, CA

Position Overview We are looking for a Machine Learning Engineer to be responsible for designing ... Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch ...

Adobe

Machine Learning Engineer

San Jose, CA · On-site

D. in Computer Science, Machine Learning, or a related technical field. • 5+ years of experience in machine learning engineering, applied research, or production ML systems. • Strong Python ...

Adobe, Inc.

Machine Learning Engineer

San Jose, CA · On-site

Proficient in programming languages such as Python, R, or similar * Strong foundation in probability, statistics, and mathematical modeling * Knowledge of common machine learning algorithms and ...

Hive

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

... machine learning engineers. We are looking for developers who are excited about staying at the ... You know the ins and outs of Python, especially as it applies to the above ML frameworks * You are ...

Geico

Machine Learning Engineer II

Palo Alto, CA · On-site

Staff Machine Learning Engineer Overview: As a Staff Machine Learning Engineer, you will be the ... Deepproficiencyin programming languages such as Python, Java, or similar, with a strong emphasis on ...

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Machine Learning Engineer Python information

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Python, and why are they important?

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 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 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 California? For Machine Learning Engineer Python jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Python jobs in California look for? The top searched job categories for Machine Learning Engineer Python jobs in California are:
What cities in California are hiring for Machine Learning Engineer Python jobs? Cities in California with the most Machine Learning Engineer Python job openings:
Machine Learning Engineer Python jobs near you
Machine Learning Engineer

Machine Learning Engineer

Apple

Cupertino, CA • On-site

Full-time

Posted yesterday

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive meaningful business outcomes at scale. You will work cross-functionally to bring innovative machine learning solutions from research and experimentation through to robust, production-grade deployment.
The MLE will collaborate with other MLEs to build scalable, production-ready ML solutions, taking algorithms from initial concept through to deployment. This hire will design end-to-end AI/ML solutions with clear business impact, from concept to deployment, with a strong focus on feasibility, scalability, and performance. You will benchmark, adapt, and integrate AI/ML models into existing systems.
8 years of related experience building high-throughput, scalable applications or machine learning models in a production environment.Bachelor's Degree in Computer Science, Statistics, Data Mining, Machine Learning, Operations Research, or related field.Proficiency in one or more object-oriented programming languages such as Python, Java, or C++, with hands-on experience building distributed systems.Experience building large-scale machine learning systems using big data technologies such as Spark, SQL, Snowflake, or similar platforms.Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.Familiarity with MLOps practices including model versioning, CI/CD pipelines, and experiment tracking tools such as MLflow or similar.Experience building and deploying applications using large language models (e.g., GPT-4, Claude, Gemini, or open-source alternatives) via APIs or self-hosted inference.Hands-on experience with agentic frameworks such as LangChain, LlamaIndex, or AutoGen to build multi-step, tool-augmented AI workflows.
10 years of related experience building high-throughput, scalable applications or machine learning models in a production environment.Solid understanding of ML fundamentals including supervised/unsupervised learning, model evaluation, and feature engineering.Strong problem-solving skills with the ability to translate ambiguous business problems into well-defined ML solutions.Excellent cross-functional communication skills with the ability to collaborate effectively across engineering and data science teams.Familiarity with LLM evaluation practices including output quality assessment, hallucination detection, and latency benchmarking in production environments.

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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