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Work From Home Qualcomm Machine Learning Jobs in California

AbbVie

Machine Learning Engineer

San Diego, CA · On-site +1

$109K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Own small to medium components of machine learning systems from technical designthrough ... Clearly document and communicate work progress, technical decisions, and outcomes totechnical and ...

AbbVie

Machine Learning Engineer

San Diego, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Own small to medium components of machine learning systems from technical designthrough ... Clearly document and communicate work progress, technical decisions, and outcomes totechnical and ...

Swish Analytics

Machine Learning Engineer

San Francisco, CA · On-site +1

$160K/yr

... from scratch. They can assist with optimizing the different aspects of the modeling process (Data ... Work closely with DevOps and Data Engineering teams to assist with implementation, optimization and ...

Sift Science, Inc

Machine Learning Engineer

San Francisco, CA · On-site +1

$140K - $190K/yr

You will work on an automated machine learning ecosystem that dynamically recalibrates models based ... Engineer high-frequency time-series features from over 1 trillion behavioral events, optimizing for ...

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All JobsQualcomm Machine Learning JobsWork From Home Qualcomm Machine Learning JobsWork From Home Qualcomm Machine Learning Jobs in California

Work From Home Qualcomm Machine Learning information

What is the difference between Work From Home Qualcomm Machine Learning vs Work From Home Qualcomm Data Scientist?

AspectQualcomm Machine Learning EngineerQualcomm Data Scientist
Required CredentialsBachelor's/Master's in CS, EE, or related; experience in ML frameworksBachelor's/Master's in CS, Statistics, or related; experience in data analysis
Work EnvironmentRemote, collaborative teams focused on ML model developmentRemote, analyzing large datasets to inform business decisions
Industry UsageDeveloping ML algorithms for hardware and software productsInterpreting data to optimize products and strategies

Work From Home Qualcomm Machine Learning engineers focus on developing and implementing machine learning models, while Qualcomm Data Scientists analyze data to support decision-making. Both roles often work remotely, require similar technical backgrounds, but differ in their core responsibilities and application areas.

What skills and qualifications are needed to thrive as a work from home Qualcomm machine learning engineer?

To excel as a Work From Home Qualcomm Machine Learning Engineer, a strong background in computer science, statistics, and machine learning algorithms is essential, often supported by a relevant degree. Familiarity with programming languages such as Python or C++, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of Qualcomm's hardware platforms are typically required. Excellent problem-solving abilities, self-motivation, and strong communication skills help individuals collaborate remotely and contribute effectively to team goals. These skills ensure the successful development and deployment of optimized machine learning solutions tailored for Qualcomm's innovative technologies.

How does a remote Qualcomm machine learning engineer collaborate with on-site teams and contribute to large-scale projects?

As a remote Qualcomm Machine Learning engineer, you'll regularly interact with cross-functional teams through virtual meetings, code reviews, and collaboration tools such as Slack and Jira. You'll contribute to large-scale projects by developing, testing, and optimizing ML models, often working with both hardware and software colleagues. Clear communication and proactive documentation are essential, as you'll need to sync project goals and updates across time zones. You'll also participate in virtual brainstorming sessions and technical discussions, ensuring your contributions seamlessly integrate with the broader team's efforts.

What is a work from home Qualcomm machine learning job?

Work From Home Qualcomm Machine Learning jobs are remote positions offered by Qualcomm that focus on developing, testing, and implementing machine learning algorithms and models. Employees in these roles use their expertise in artificial intelligence, data science, and software engineering to create innovative solutions for Qualcomm’s products and services, such as mobile devices and wireless technology. Working from home allows professionals to perform these tasks remotely, collaborating with team members through digital communication tools. These positions typically require a background in computer science, machine learning, or related fields, and often involve programming, data analysis, and research.

What are popular job titles related to Work From Home Qualcomm Machine Learning jobs in California?

For Work From Home Qualcomm Machine Learning jobs in California, the most frequently searched job titles are:

What job categories do people searching Work From Home Qualcomm Machine Learning jobs in California look for?

The top searched job categories for Work From Home Qualcomm Machine Learning jobs in California are:

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Cities in California with the most Work From Home Qualcomm Machine Learning job openings:

Work From Home Qualcomm Machine Learning jobs near you

Android Software Engineer, Work From Home

Parallel Partners

San Francisco, CA • Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 13 days ago

Job description

Job Description

Android Software Engineer, Work From Home

We are looking for a talented Android Software Engineer to build and evolve mobile applications that power insurance and financial products.  The Android Software Engineer will also contribute to features that leverage automation and AI-assisted capabilities where they improve user experience and operational efficiency.  We have multiple openings for this position.  This position is 100% Remote.

Android Software Engineer Responsibilities:

- Build and maintain production-grade Android applications using Kotlin.

- Design and implement intuitive, responsive mobile interfaces for insurance, payments, and customer workflows.

- Integrate backend APIs for quotations, policy management, claims, and transactional services.

- Contribute to mobile features that incorporate AI-assisted capabilities (e.g., chat experiences, recommendations, automation flows).

- Optimize application performance, responsiveness, battery usage, and memory efficiency across devices.

- Implement analytics, crash reporting, and user behavior tracking to improve product quality.

- Collaborate closely with backend, product, design, and AI/ML teams throughout the development lifecycle.

- Ensure stability, scalability, and security across production mobile systems.

- Continuously improving engineering standards, architecture, and mobile best practices.

- Deliver stable, high-performance Android experiences used at scale.

- Improve app reliability, responsiveness, and efficiency across devices.

- Reduce crashes and production incidents through better engineering practices.

- Ship mobile features confidently with strong system design and testing discipline.

- Enable AI-assisted product capabilities through mobile integration where applicable.

- Contribute to a scalable and maintainable mobile architecture.

Qualifications

Android Software Engineer Qualifications:

- 3+ years of Android development experience using Kotlin.

- Strong understanding of Android architecture components and modern development practices.

- Proven experience shipping production Android applications.

- Strong knowledge of Coroutines, Flow, and asynchronous programming.

- Experience integrating RESTful APIs and working with distributed systems.

- Familiarity with mobile performance tuning and debugging in production environments.

- Exposure to AI-enabled mobile features (e.g., chat interfaces, recommendation systems, automation workflows) is a plus.

- Experience with on-device ML or frameworks such as TensorFlow Lite is a bonus.

- Strong ownership mindset with attention to detail and product quality.

- Published apps on the Google Play Store are an advantage.

- Tech Stack:  Kotlin/Java, Android Jetpack (ViewModel, Compose/XML-based UI where applicable), Coroutines/Flow, RESTful APIs, SQL/NoSQL databases, and TensorFlow Lite/on-device ML frameworks.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:  San Francisco CA Jobs, Android Software Engineer, AI-enabled Mobile Features, Android Applications, Android Jetpack, Asynchronous Programming, Automation Workflows, Chat Interfaces, Compose, Coroutines, Debugging, Distributed Systems, Flow, Google Play Store, Java, Kotlin, Machine Learning, NoSQL, Performance Tuning, RESTful APIs, SQL, TensorFlow Lite, ViewModel, XML, Software Engineer, Software Developer, Programming, Programmer Analyst, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

Looking to hire an Android Software Engineer in San Francisco, CA or in other cities?  Our IT recruiting agencies and staffing companies can help.

We help companies that are looking to hire Android Software Engineers for jobs in San Francisco, California and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!


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