ZipRecruiter

Log In

2

Remote Deep Learning Jobs in California (NOW HIRING)

Tenstorrent

Performance Architect, AI HW

Santa Clara, CA · On-site +1

$100K - $500K/yr

Austin, TX; Santa Clara, CA or remote. We welcome candidates at various experience levels for this ... Adept at bridging software and hardware teams-translating deep learning workloads into ...

Mantari

Software Engineer

Torrance, CA · On-site +1

Deep fluency with at least one modern deep learning framework (JAX, PyTorch, TensorFlow, etc ... Experience with numerical weather prediction, remote-sensing data, or geospatial intelligence

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... Experience with a deep learning framework such as Tensorflow, pyTorch, or equivalent * Experience ...

previous page

Showing results 41-60

All JobsDeep Learning JobsRemote Deep Learning JobsRemote Deep Learning Jobs in California

Remote Deep Learning information

See California salary details

$21.1K

$128.3K

$209.6K

How much do remote deep learning jobs pay per year?

As of Sep 10, 2026, the average yearly pay for remote deep learning in California is $128,275.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,192.00 and $165,979.00 per year, depending on experience, location, and employer.

What is a remote deep learning engineer?

A Remote Deep Learning job involves working with artificial intelligence and machine learning models, particularly using deep neural networks, from a location outside a traditional office, often from home. Professionals in this field design, build, and optimize algorithms that enable computers to learn from large amounts of data. They often work on projects such as image and speech recognition, natural language processing, or autonomous systems. The remote aspect allows flexibility and access to global opportunities, but requires strong communication skills and the ability to collaborate virtually with teams.

What skills and qualifications are needed to thrive as a remote deep learning engineer?

To thrive as a Remote Deep Learning Engineer, you need strong programming skills in Python, a deep understanding of machine learning algorithms, and typically a degree in computer science, engineering, or a related field. Proficiency with frameworks like TensorFlow or PyTorch, as well as cloud computing platforms such as AWS or Google Cloud, is essential, and certifications in these technologies can be advantageous. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These skills ensure effective development, deployment, and maintenance of deep learning models while working independently in distributed teams.

What are common challenges faced by remote deep learning engineers, and how can they be addressed?

Remote deep learning engineers often encounter challenges such as limited access to high-performance computing resources, communication barriers with distributed teams, and difficulties in collaborating on large codebases or datasets. These issues can be mitigated by leveraging cloud-based platforms for scalable computing, using clear communication tools like Slack or Zoom for regular check-ins, and employing version control systems like Git for collaborative code management. Proactively setting up workflows and documentation helps ensure smooth collaboration and project continuity within a remote environment.

What is the difference between Remote Deep Learning vs Remote Machine Learning Engineer?

AspectRemote Deep LearningRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with neural networksBachelor's/Master's in CS, Data Science, or related; experience with algorithms and data modeling
Work EnvironmentCollaborative teams, research-focused, often in tech or AI companiesDevelopment teams, data-driven projects, across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, e-commerce

Remote Deep Learning specialists focus on designing and training neural networks for AI applications, often requiring advanced knowledge of deep neural architectures. Remote Machine Learning Engineers work on developing algorithms and models for broader data analysis and predictive tasks. While both roles involve machine learning, deep learning emphasizes neural networks, whereas machine learning engineers may work with a variety of algorithms across industries.

What are the most commonly searched types of Deep Learning jobs in California?

The most popular types of Deep Learning jobs in California are:

What are popular job titles related to Remote Deep Learning jobs in California?

For Remote Deep Learning jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Deep Learning jobs in California look for?

The top searched job categories for Remote Deep Learning jobs in California are:

What cities in California are hiring for Remote Deep Learning jobs?

Cities in California with the most Remote Deep Learning job openings:

Remote Deep Learning jobs near you
Infographic showing various Remote Deep Learning job openings in California as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $128,275 per year, or $61.7 per hour.

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

San Francisco, CA • Remote

Ginas Tech Jobs
See more jobs at Ginas Tech Jobsexternal

Full-time

Medical, Dental, Vision, PTO

Re-posted 3 days ago

Job description

Job Description

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

As a Principal Machine Learning Engineer, you are a deep technical authority responsible for designing and evolving the most critical ML systems in the company.  The Principal Machine Learning Engineer will operate across training, inference, evaluation, and infrastructure, solving the hardest architectural and performance problems.  While Technical Leads may own execution at the team level, you set the technical standard and shape how ML systems are built across the organization.  This is a hands-on, high-impact role focused on depth.  This position is 100% Remote.

Principal Machine Learning Engineer Responsibilities:

- Architect and build large-scale ML systems spanning data, training, evaluation, inference, and deployment.

- Design reproducible, high-performance training pipelines across GPU infrastructure.

- Architect inference systems that balance latency, throughput, cost, and reliability at scale.

- 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 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

Principal Machine Learning Engineer Outcomes:

- ML systems (training, inference, evaluation) are reliable, scalable, and meet defined performance targets.

- Models deployed to production achieve measurable quality improvements and meet user-impact goals.

- Production issues are proactively monitored, debugged, and resolved with clear root-cause analysis.

- Team and cross-functional collaborators benefit from clear guidance, best practices, and scalable ML solutions.

- Research-to-production cycles are efficient, safe, and continuously improve the product experience.

Qualifications

Principal Machine Learning Engineer Qualifications:

- Strong background in deep learning and transformer-based architectures.

- Artificial Intelligence (AI) experience required.

- Hands-on experience training, fine-tuning, or deploying large-scale ML models in production.

- Proficiency with at least one modern ML framework (e.g. PyTorch, JAX), and ability to learn others quickly.

- Experience with distributed training and inference frameworks (e.g. DeepSpeed, FSDP, Megatron, ZeRO, Ray).

- Strong software engineering fundamentals; you write robust, maintainable, production-grade systems.

- Experience with GPU optimization, including memory efficiency, quantization, and mixed precision.

- Comfort owning ambiguous, zero-to-one ML systems end-to-end.

- A bias toward shipping, learning fast, and improving systems through iteration.

- Experience with LLM inference frameworks such as vLLM, TensorRT-LLM, or FasterTransformer.

- Contributions to open-source ML or systems libraries.

- Background in scientific computing, compilers, or GPU kernels.

- Experience with RLHF pipelines (PPO, DPO, ORPO).

- Experience training or deploying multimodal or diffusion models.

- Experience with large-scale data processing (Apache Arrow, Spark, Ray).

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

Keywords:  San Francisco CA Jobs, Principal Machine Learning Engineer, Apache Arrow, DeepSpeed, DPO, FasterTransformer, FSDP, GPU Kernels, JAX, LLM, Machine Learning, Megatron, ML, ORPO, PPO, Principal Machine Learning Engineer, Pytorch, RLHF Pipelines, Spark, TensorRT-LLM, Virtual Large Language Model, vLLM, Work From Home, ZeRO Ray, California Recruiters, IT Jobs, California Recruiting

Looking to hire a Principal 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 Principal 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.

Apply