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Remote Accelerate Learning Jobs in Cypress, CA (NOW HIRING)

Workers Comp Attorney

Los Angeles, CA ยท On-site +1

$92K - $210K/yr

Accelerated Partnership Track * Continuous Training/Learning * Employee Discounts * Holiday Parties ... remote since you may need to travel to attend court appearances Billable Hours: 195 a month

Valid US driver's license; remote role. Fortive Corporation Overview Fortive's essential technology ... learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive ...

... accelerating growth, being a member of an executive team, and fostering a winning attitude ... Remote in Los Angeles and willingness to travel within the region (~25-40%) (Remote but expected to ...

Sales Account Executive, Edtech

Los Angeles, CA ยท On-site +1

$110K - $120K/yr

Millions of scientists, educators and students use JoVE for their research, teaching and learning ... Benefits * We're fully remote! * Comprehensive benefit plans including, medical, dental, vision ...

Millions of scientists, educators and students use JoVE for their research, teaching and learning ... Benefits * We're fully remote! * Comprehensive benefit plans including, medical, dental, vision ...

Engineer II, Backend APIs

Los Angeles, CA ยท On-site +1

$125K - $135K/yr

... F remote, T/W/TH in-office) West Coast - Remote At Magnite, we cultivate an environment of ... We're adding an engineer to accelerate a highimpact roadmap, elevate API developer experience, and ...

Sr Product Analyst

Anaheim, CA ยท Remote

$130K/yr

... learning communities to advance student success. We believe strongly in the supporting role of ... Champion the use of AI tools across the team to accelerate research, requirements, and testing

Location- Remote, west coast based Reports to the Sr. Director, Engineering- Enterprise Travel is ... Learning & development programs * And yes-we have snacks in our offices Benefits listed herein may ...

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Showing results 1-20

Remote Accelerate Learning information

See Cypress, CA salary details

$28

$43

$73

How much do remote accelerate learning jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for remote accelerate learning in Cypress, CA is $43.13, according to ZipRecruiter salary data. Most workers in this role earn between $31.35 and $56.06 per hour, depending on experience, location, and employer.

What is the difference between Remote Accelerate Learning vs Remote Learning Coordinator?

AspectRemote Accelerate LearningRemote Learning Coordinator
Required CredentialsTypically requires a degree in education, training, or related field; certifications in instructional design or e-learning are commonUsually requires a degree in education, communication, or related field; certifications in curriculum development or online teaching are beneficial
Work EnvironmentPrimarily online, involving content development, training sessions, and learner engagementPrimarily online, coordinating learning programs, managing schedules, and supporting learners
Employer & Industry UsageUsed by educational institutions, corporate training companies, and e-learning platformsUsed by schools, universities, and corporate training departments

Remote Accelerate Learning focuses on developing and delivering educational content and training programs, often involving content creation and instructional design. In contrast, a Remote Learning Coordinator manages the logistics, schedules, and support for online learning programs. Both roles require similar credentials and work in online environments, but their core responsibilities differ in content development versus program coordination.

What job categories do people searching Remote Accelerate Learning jobs in Cypress, CA look for?

The top searched job categories for Remote Accelerate Learning jobs in Cypress, CA are:

What cities near Cypress, CA are hiring for Remote Accelerate Learning jobs?

Cities near Cypress, CA with the most Remote Accelerate Learning job openings:

Infographic showing various Remote Accelerate Learning job openings in Cypress, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $89,704 per year, or $43.1 per hour.

Senior Machine Learning Engineer

Career Renew

Los Angeles, CA โ€ข Remote

$165K - $225K/yr

Full-time

Re-posted 27 days ago


Job description

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity.
We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis.
Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities.

About the Role

We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor’s virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows.
Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications
Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements
Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks
Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges
Explore image representation in latent space for efficient, high-fidelity virtual staining
Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs’ product roadmap

Collaboration
Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements
Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures
Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems
Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines
Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches

Required Qualifications

PhD (preferred) or Master’s degree in Computer Science, Electrical Engineering, or a related field
Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising
Expert proficiency in Python and PyTorch and other scientific computing environments a plus
Strong mathematical foundation in linear algebra, probability, and optimization
Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure)
Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles
Experience with feature search, data balancing, and data curation pipelines.
Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines
Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment
Extensive use of AI tools for coding, optimization, and ideation

Preferred Qualifications

Experience with medical imaging, digital pathology, or whole slide image (WSI) processing
Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem
Background in generative models and fine-tuning of foundation models
Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton
Experience with hosting computer vision model inference on NVIDIA DGX Spark.
Understanding of FDA regulatory requirements for AI/ML in medical devices
Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices
Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility

What We Offer

The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.