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Machine Learning Engineer Python Jobs in California

Apple

Machine Learning Engineer

Cupertino, CA · On-site

... Python for algorithm development and optimizationDemonstrated ability to rapidly prototype, evaluate multiple approaches, and iterate based on experimental resultsExperience owning algorithm ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

... top engineers across Apple. BS in electrical, optical or computer engineering/science, and a ... Python. Experience with one of the following: machine learning/deep learning systems, computer ...

Apple

Machine Learning Engineer

San Diego, CA · On-site

... Python for algorithm development and optimizationDemonstrated ability to rapidly prototype, evaluate multiple approaches, and iterate based on experimental resultsExperience owning algorithm ...

Adobe

Machine Learning Engineer

San Jose, CA · On-site

Adobe is looking for a Machine Learning Engineer to optimize the experience of its Customer ... Python, Scala, Java, or SQL. • Proficiency in ML frameworks such as scikit-learn, SparkML ...

Nace AI

Machine Learning Engineer

Palo Alto, CA

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine ... Proficient in Python with a strong track record of building substantial projects. * Solid ...

Quizlet

Machine Learning Engineer

San Francisco, CA

$205K - $316.40K/yr

Machine Learning Engineer At Quizlet, our mission is to help every learner achieve their outcomes ... Proficiency in Python and common ML frameworks * Ability to operate across ambiguity and drive end ...

Hive

Machine Learning Engineer

San Francisco, CA

$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 ...

Aquabyte

Machine Learning Engineer

San Francisco, CA · On-site

$130K - $170K/yr

Aquabyte is seeking a Machine Learning Engineer to help develop and deploy new algorithms to fish ... Strong coding ability; strong grasp of Python, SQL * Strong data analytics & modeling & ML skills

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine ... Proficient in Python with a strong track record of building substantial projects. * Solid ...

Palo Alto Networks

Machine Learning Engineer

Encino, CA · On-site

$129.10K - $208.83K/yr

Proficiency in at least one programming language such as Python, Java, or Golang. * Experience applying supervised and/or unsupervised machine learning algorithms on various data types. * Extensive ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

Building machine learning models and pipelines in Python, using common libraries and frameworks (e ... A background in Physics, Engineering, or equivalent Our delivery teams drive innovation to turn AI ...

New

Gotion, Inc.

Machine Learning Engineer

Fremont, CA · On-site

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background ... Proficiency in Python and ML libraries/frameworks such as PyTorch, TensorFlow, etc. * Solid ...

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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

Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next-generation health algorithms that deliver meaningful insights to users by combining classical ML, signal processing, and emerging generative AI techniques. Our team has delivered impactful features including heart rate notifications, ECG, blood oxygen, sleep apnea notifications, and overnight vitals to millions of Apple Watch users.
This role is ideal for an engineer who enjoys moving quickly from idea to prototype to product, creatively overcoming data limitations, and applying new tools to multi-modal sensor fusion problems in health and wellness. You will work across the full algorithm lifecycle including data strategy, modeling, evaluation, optimization, and deployment.
Bachelors degree in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, Applied Mathematics, or related field, or equivalent industry experience.Strong foundation in machine learning, statistics, signal processing, or applied mathematics for real-world sensing problemsExperience applying modern AI techniques, including generative AI and agentic AI, to accelerate algorithm development, data generation, and performance evaluationProficiency in Python for algorithm development and optimizationDemonstrated ability to rapidly prototype, evaluate multiple approaches, and iterate based on experimental resultsExperience owning algorithm development from early exploration through validation and integration
Experience developing algorithms for physiological sensing using multi-modal dataFamiliarity with on-device ML frameworks or resource-constrained optimizationExperience working with incomplete, noisy, or limited datasetsBackground in experimental design and statistical validationExperience with distributed or cloud-based ML workflowsExperience accelerating development through simulation, synthetic data, or creative data augmentation approachesSelf-driven, curious engineer comfortable taking ambiguous sensing problems from concept to working solutions

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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