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Work From Home Full Stack Machine Learning Engineer Jobs

Inovalon

Senior Machine Learning Engineer

Atlanta, GA · On-site +1

$117K - $155K/yr

The Senior Full-Stack Machine Learning Engineer sits within the Insights Business Unit, which ... You will work across the full model development lifecycle on a modern, cloud-native AWS stack ...

InstantServe LLC

Machine Learning Engineer

Work closely with engineering teams to deploy models and integrate them into our products through ... Collaborate closely with product managers, full-stack engineers, and TPMs to ensure seamless ...

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Work From Home Full Stack Machine Learning Engineer information

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$44.5K

$134.8K

$190.5K

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

As of Jul 21, 2026, the average yearly pay for work from home full stack machine learning engineer in the United States is $134,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $158,000.00 per year, depending on experience, location, and employer.

What is the difference between Work From Home Full Stack Machine Learning Engineer vs Work From Home Data Scientist?

AspectWork From Home Full Stack Machine Learning EngineerWork From Home Data Scientist
Required CredentialsBachelor's/Master's in CS, ML certifications, programming skillsBachelor's/Master's in CS, statistics, data analysis certifications
Work EnvironmentRemote, collaborative teams, software development focusRemote, research-oriented, data analysis and visualization
Industry UsageTech, finance, healthcare, e-commerceTech, finance, marketing, research firms

While both roles often work remotely and require strong technical skills, Full Stack Machine Learning Engineers focus on developing and deploying ML models within software systems, whereas Data Scientists analyze data to generate insights and support decision-making. The roles overlap but differ mainly in their core responsibilities and technical focus.

What cities are hiring for Work From Home Full Stack Machine Learning Engineer jobs? Cities with the most Work From Home Full Stack Machine Learning Engineer job openings:
What states have the most Work From Home Full Stack Machine Learning Engineer jobs? States with the most job openings for Work From Home Full Stack Machine Learning Engineer jobs include:
What job categories do people searching Work From Home Full Stack Machine Learning Engineer jobs look for? The top searched job categories for Work From Home Full Stack Machine Learning Engineer jobs are:
Work From Home Full Stack Machine Learning Engineer jobs near you
Infographic showing various Work From Home Full Stack Machine Learning Engineer job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 94% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $134,771 per year, or $64.8 per hour.

Staff Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home

Ginas Tech Jobs

San Francisco, CA • Remote

Full-time

Medical, Dental, Vision, PTO

Posted 12 days ago

Job description

Job Description

Staff Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home

As the Staff Machine Learning Engineer, you own the execution layer of intelligence.  You translate research direction into reliable, scalable, production-grade Machine Learning (ML) systems.  This role sits at the intersection of research, infrastructure, and product. You are responsible for making models trainable, deployable, observable, and performant under real-world constraints.  This position is 100% Remote.

Staff Machine Learning Engineer Responsibilities:

- Own end-to-end Machine Learning (ML) system execution:  data pipelines, training workflows, evaluation systems, inference architecture, and deployment.

- Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation.

- Architect and operate scalable inference systems, balancing latency, cost, and reliability.

- Design and maintain data systems for high-quality synthetic and real-world training data.

- Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership.

- Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies.

- Collaborate closely with application engineering to integrate Machine Learning (ML) systems cleanly into backend, mobile, and desktop products.

- Make pragmatic trade-offs and ship improvements quickly, learning from real usage.

- Work under real production constraints: latency, cost, reliability, and safety

Staff Machine Learning Engineer Outcomes

- Research and models reliably translate into production-ready solutions with clear performance and quality targets.

- Machine Learning (ML) pipelines, training loops, and inference systems are stable, efficient, and maintainable.

- Production issues are detected, debugged, and resolved quickly, minimizing user impact.

- Team members are supported, aligned, and able to deliver high-impact Machine Learning (ML) work with minimal friction.

- Iterations on models and systems are measurable, safe, and improve user experience over time.

Qualifications

Staff Machine Learning Engineer Qualifications:

- Experience building or shipping real Machine Learning (ML) systems used by people, not just demos.

- Artificial Intelligence (AI) experience required.

- Experience working with large models and understanding their failure modes.

- Experience writing strong, production-grade code.

- You are self-directed, pragmatic, and take full ownership of outcomes.

- Experience communicating clearly and collaborate well in small, high-trust teams.

- Tech Stack:  GPU-based training and inference system, JAX, Python, and PyTorch.

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

Keywords:  San Francisco CA Jobs, Staff Machine Learning Engineer, Data Pipelines, DPO, GPU, JAX, LoRA, Machine Learning Engineer, ML, Machine Learning, Python, PyTorch, QLoRA, SFT, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

Looking to hire a Staff Machine Learning 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 Staff Machine Learning Engineers 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.ginastechjobs.com.

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