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Work From Home Machine Learning Jobs in California

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

We are emerging from stealth and with an exciting series of machine learning products and a rapidly growing number of enterprise customers. All your information will be kept confidential according to ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

... work, and about helping each other get better. We come from diverse backgrounds, but we share a ... If you're ambitious, thoughtful, and driven by impact, you'll feel at home. Influence over ...

GIA Legacy Planning

Remote/Work from Home Job Type: Full-Time/Part-Time/Uncapped Commission-Based About Us: GIA Legacy Planning is a dynamic and client-focused insurance agency. We specialize in providing personalized ...

GIA Legacy Planning

Remote/Work from Home Job Type: Full-Time/Part-Time/Uncapped Commission-Based About Us: GIA Legacy Planning is a dynamic and client-focused insurance agency. We specialize in providing personalized ...

GIA Legacy Planning

Remote/Work from Home Job Type: Full-Time/Part-Time/Uncapped Commission-Based About Us: GIA Legacy Planning is a dynamic and client-focused insurance agency. We specialize in providing personalized ...

GIA Legacy Planning

Remote/Work from Home Job Type: Full-Time/Part-Time/Uncapped Commission-Based About Us: GIA Legacy Planning is a dynamic and client-focused insurance agency. We specialize in providing personalized ...

GIA Legacy Planning

Remote/Work from Home Job Type: Full-Time/Part-Time/Uncapped Commission-Based About Us: GIA Legacy Planning is a dynamic and client-focused insurance agency. We specialize in providing personalized ...

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All JobsMachine Learning JobsWork From Home Machine Learning JobsWork From Home Machine Learning Jobs in California

Work From Home Machine Learning information

See California salary details

$25.2K

$42K

$86.8K

How much do work from home machine learning jobs pay per year?

As of Jul 17, 2026, the average yearly pay for work from home machine learning in California is $42,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,100.00 and $45,400.00 per year, depending on experience, location, and employer.

What jobs make $3,000 a month without a degree?

In the field of work from home machine learning, entry-level roles such as data labeling, annotation, or basic data entry can sometimes pay around $3,000 monthly, especially with experience or specialized tools. However, most higher-paying machine learning positions typically require relevant skills, certifications, or a degree, making such income levels less common without formal education or advanced expertise.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and while AI automation can handle certain tasks, MLEs are essential for creating, optimizing, and troubleshooting complex models. AI tools may augment their work, but the role is unlikely to be fully replaced in the near future due to the need for human expertise and oversight.

What is a Work From Home Machine Learning job?

A Work From Home Machine Learning job allows professionals to develop, train, and deploy machine learning models remotely. These roles typically involve tasks such as data preprocessing, model selection, optimization, and performance evaluation. Common industries for remote ML jobs include tech, healthcare, finance, and e-commerce. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and familiarity with cloud platforms are often required. Remote ML engineers collaborate with data scientists, software engineers, and business analysts to create AI-driven solutions.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or data science executives, often requiring advanced skills, extensive experience, and sometimes specialized certifications. These positions usually involve leadership, strategic planning, and cutting-edge development in AI technologies, and they tend to be well-compensated due to their complexity and impact.

What are the main challenges of working remotely in a machine learning role?

One of the main challenges of working remotely in a machine learning role is maintaining effective collaboration and communication with team members across different locations and time zones. Without face-to-face interactions, it can be more difficult to brainstorm, review complex models, or debug issues collaboratively. To overcome these obstacles, remote machine learning professionals frequently use project management tools, version control systems, and video conferencing to stay in sync with their teams. Strong self-motivation, proactive communication, and time management are essential for staying productive and connected while working from home.

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

To thrive as a Work From Home Machine Learning professional, you need a strong background in mathematics, programming (Python or R), and experience with machine learning algorithms, typically backed by a degree in computer science or related fields. Technical proficiency with tools like TensorFlow, PyTorch, scikit-learn, and cloud platforms such as AWS or Azure, as well as relevant certifications, is highly valuable. Excellent communication, problem-solving abilities, and self-discipline help you collaborate remotely and manage projects independently. These skills ensure you can effectively build and deploy models, overcome technical challenges, and contribute to distributed teams in a virtual setting.

Which 3 jobs will survive AI?

Work From Home Machine Learning roles such as data scientists, AI specialists, and machine learning engineers are expected to persist as they require complex problem-solving, domain expertise, and ongoing innovation that AI tools currently cannot fully replicate. These jobs often involve developing, fine-tuning, and overseeing AI systems, which depend on advanced skills, programming, and critical thinking. Continuous learning and proficiency in programming languages like Python and frameworks such as TensorFlow are essential for these roles to remain relevant.
What are popular job titles related to Work From Home Machine Learning jobs in California? For Work From Home Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Work From Home Machine Learning jobs in California look for? The top searched job categories for Work From Home Machine Learning jobs in California are:
What cities in California are hiring for Work From Home Machine Learning jobs? Cities in California with the most Work From Home Machine Learning job openings:
Work From Home Machine Learning jobs near you
Infographic showing various Work From Home Machine Learning job openings in California as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 21% Part Time, 2% Temporary, and 4% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $42,026 per year, or $20.2 per hour.
VP of Engineering Applications, Artificial Intelligence (AI) Required, Work From Home

VP of Engineering Applications, Artificial Intelligence (AI) Required, Work From Home

Next Step Systems

San Francisco, CA • On-site, Remote

$212K - $273K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 8 days ago

Job description

Company Description
Job Description
VP of Engineering Applications, Artificial Intelligence (AI) Required, Work From Home
As the VP of Engineering Applications, you will turn intelligence into a real product. The VP of Engineering Applications is responsible for the engineering systems, teams, and execution that turn Machine Learning (ML) capability into reliable, fast, and intuitive user experiences across backend, mobile, and desktop platforms. The VP of Engineering Applications role is a senior engineering leader who stays close to the product, makes hard technical decisions, and holds a high bar for quality and delivery. This position is 100% Remote.
VP of Engineering Applications Responsibilities:
- Own the application engineering strategy and execution across backend, mobile, and desktop.
- Lead and grow a small, senior applications team, including backend, mobile, and desktop engineers.
- Set the architectural direction for Artificial Intelligence (AI)-powered product workflows, APIs, and client integrations.
- Ensure AI capabilities are integrated into the product with clear abstractions, predictable behavior, and graceful failure modes.
- Partner closely with Machine Learning leadership to translate model capability into shippable product features.
- Make high-impact decisions across latency, cost, reliability, security, and user experience.
- Establish clear ownership boundaries across backend, mobile, and desktop to prevent architectural drift.
- Ensure production readiness: observability, monitoring, retries, fallbacks, privacy, and cost controls.
- Balance speed and discipline shipping quickly without compromising long-term system quality.
VP of Engineering Applications Outcomes:
- Reliable, low-latency Artificial Intelligence (AI) user experiences across backend, mobile, and desktop
- Clear architectural boundaries that allow teams to move fast without constant rewrites.
- Measurable improvements in system performance, stability, and production reliability.
- Strong observability and operational discipline across all application systems.
- A small, senior team that ships frequently, owns what they build, and raises the technical bar.
- Team members are empowered, growing in their roles, and able to make high-impact contributions.
Qualifications
VP of Engineering Applications Qualifications:
- Significant experience leading application or product engineering for complex systems.
- Artificial Intelligence (AI) experience required.
- Strong hands-on background building and shipping backend systems used in production.
- Experience delivering Artificial Intelligence (AI)-powered products, with a deep understanding of model integration trade-offs.
- Excellent system design skills across services, APIs, clients, and data flows.
- Comfort operating across platforms (backend, mobile, desktop), even if your depth is in one.
- Proven ability to make high-impact technical decisions under ambiguity.
- A strong bias toward shipping, iteration, and learning from real-world usage.
- Low ego, strong judgment, and the ability to raise the technical bar for the entire applications organization.
Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.
Keywords: San Francisco CA Jobs, VP of Engineering Applications, AI, Artificial Intelligence, APIs, Application Engineering, Backend, Desktop, Low Latency, ML, Machine Learning, Product Engineering, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting
Looking to hire a VP of Engineering Applications 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 VPs of Engineering Applications for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today!
Additional Information
Please check out all of our jobs at www.nextstepsystems.com.

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