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Machine Learning Engineer Software Engineer Jobs in California

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

Software engineering skills and proficiency in Python.Experience with PyTorch.BA/BS degree in computer vision, computer graphics, machine learning or related field. MS or PhD in computer vision ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

... Machine Learning Engineer with experience developing ML models for computer vision and graphics ... Software engineering skills and proficiency in PythonExperience with PyTorchIndependent problem ...

Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

The Senior Machine Learning Engineer will be responsible for designing, building, and scaling advanced software systems to automate Design for Manufacturing analysis, utilizing deep learning models ...

Skild AI

Machine Learning Engineer

San Mateo, CA · On-site

Strong background in algorithms, data structures, and software engineering principles. * Experience ... Deep understanding of state-of-the-art machine learning techniques and models. * Extensive industry ...

Qualcomm

Machine Learning Engineer

San Diego, CA · On-site

$122.80K - $184.20K/yr

Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software. Minimum Qualifications: • ...

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 ... Develop and implement Software Development Lifecycle (SDLC) best practices for machine learning ...

New

Aquabyte

Machine Learning Engineer

San Francisco, CA · On-site

$130K - $170K/yr

You'll be responsible for software and machine learning model development of our on-camera and ... The role As a Machine Learning Engineer you will be responsible for developing Machine Learning ...

The Marlin Alliance

Sr Machine Learning Engineer

San Diego, CA · On-site

$131.50K - $173.30K/yr

This role requires deep technical expertise in modern machine learning methods, distributed systems, cloud-native development, and software engineering best practices. The Senior ML Engineer will ...

BeeGenius

AI/Machine Learning Engineer

Sunnyvale, CA · On-site

... and software engineers to integrate models into production systems • Stay updated with the latest advancements in AI and machine learning • Ensure the ethical use of AI technologies ...

Apple

Sr. Machine Learning Engineer

Santa Clara, CA · On-site

$143.90K - $189.70K/yr

As such, we are seeking candidates with applied machine learning experience and strong software engineering skills.. Leverage and enhance the latest advancements in machine learning and software ...

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Machine Learning Engineer Software Engineer information

How do Machine Learning Engineer Software Engineers typically collaborate with data scientists and software development teams?

Machine Learning Engineer Software Engineers often serve as a bridge between data scientists and software development teams. They work closely with data scientists to understand and implement machine learning models, ensuring that the models are production-ready and scalable. Additionally, they collaborate with software engineers to integrate these models into existing applications, monitor their performance, and address any engineering challenges. This cross-functional collaboration is essential for delivering robust, end-to-end AI solutions that add real value to the business.

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

AspectMachine Learning EngineerSoftware Engineer
Required CredentialsBachelor's/Master's in CS, specialized ML coursesBachelor's in CS or related field
Work EnvironmentDevelops ML models, algorithms, data pipelinesBuilds software applications, systems, APIs
Industry UsageAI/ML projects, data-driven solutionsWeb, mobile, enterprise software

Machine Learning Engineers focus on designing and deploying ML models, requiring expertise in algorithms and data handling. Software Engineers develop broader software applications, emphasizing coding and system architecture. While both roles require programming skills, ML Engineers specialize in AI/ML tasks, whereas Software Engineers work across various software domains.

What are popular job titles related to Machine Learning Engineer Software Engineer jobs in California? For Machine Learning Engineer Software Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Software Engineer jobs in California look for? The top searched job categories for Machine Learning Engineer Software Engineer jobs in California are:
What cities in California are hiring for Machine Learning Engineer Software Engineer jobs? Cities in California with the most Machine Learning Engineer Software Engineer job openings:
Machine Learning Engineer Software Engineer jobs near you
Infographic showing various Machine Learning Engineer Software Engineer job openings in California as of May 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution.

Machine Learning Engineer

Happy Elements

San Francisco, CA

Full-time

Posted 19 days ago

Job description

Machine Learning Engineer
Full-time
Responsibilities
  • Build, maintain, and improve efficient and reliable data mining and machine learning models.
  • Design, implement and tune machine learning models, and provide performance feedback.
  • Work closely with data engineers to adapt and improve data pipelines for production models.
  • Work closely with software engineers in putting models into production (interface, SLA, scalability).Qualifications
  • Strong academic background required. MS in Computer Science or Machine Learning with 2+ years of industry experience or PhD in related field with 1+ years of industry experience required.
  • Expert in Python, and computation graph toolkits (e.g., Scikit-learn, Tensorflow). Solid experience with Python packages such as Numpy, Panda, and Scikit-learn.
  • Expert/Master in common families of machine learning models, feature engineering, feature selection techniques, and tuning of machine learning models.
  • Master with SQL or other relational database.
  • Master in building and productionizing end-to-end machine learning systems.
  • Knowledge and experience in cloud computing is a plus.
  • Extensive data modeling and data architecture skills.
  • Advanced math skills (linear algebra, Bayesian statistics, group theory).
  • Ability to consistently exercise independent discretion and judgment on significant matters.
  • Strong analytical, problem-solving and communication skills.
  • Ability to work in a team environment

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