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Virtual Tokenization Jobs (NOW HIRING)

Hospice of the Valley

Senior Data & AI Engineer

Phoenix, AZ · On-site

$100K - $136K/yr

... tokenization, de‑identification). Data Modeling & Integration * Design conceptual/logical ... virtual warehouses, tasks, streams, Snowpipe, Time Travel, RBAC, row/column masking, data sharing ...

Hospice of the Valley

Senior Data & AI Engineer

Phoenix, AZ · Remote

$100K - $136K/yr

Manage data security, privacy, and compliance (HIPAA/PHI; rolebased access, masking, tokenization ... virtual warehouses, tasks, streams, Snowpipe, Time Travel, RBAC, row/column masking, data sharing ...

Meta

Software Engineer, Machine Learning

New York, NY

$183K/yr

Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

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Virtual Tokenization information

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How much do virtual tokenization jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for virtual tokenization in the United States is $24.40, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $27.40 per hour, depending on experience, location, and employer.

What is the difference between Virtual Tokenization vs Blockchain Developer?

AspectVirtual TokenizationBlockchain Developer
CredentialsKnowledge of digital assets, blockchain basics, and security protocolsProgramming skills, blockchain platforms, smart contract development
Work EnvironmentFinancial institutions, fintech companies, digital asset platformsTech firms, blockchain startups, financial services
Industry UsageTokenizing assets like real estate, art, or securitiesDeveloping blockchain solutions, smart contracts, and decentralized apps

Virtual Tokenization involves converting real-world assets into digital tokens for easier transfer and management, often focusing on asset representation and security. Blockchain Developers design and implement blockchain protocols, smart contracts, and decentralized applications. While both roles work within blockchain technology, Virtual Tokenization emphasizes asset digitization, whereas Blockchain Developers focus on building the underlying blockchain infrastructure.

More about Virtual Tokenization jobs
What cities are hiring for Virtual Tokenization jobs? Cities with the most Virtual Tokenization job openings:
What are the most commonly searched types of Tokenization jobs? The most popular types of Tokenization jobs are:
What states have the most Virtual Tokenization jobs? States with the most job openings for Virtual Tokenization jobs include:
What job categories do people searching Virtual Tokenization jobs look for? The top searched job categories for Virtual Tokenization jobs are:
Virtual Tokenization jobs near you
Infographic showing various Virtual Tokenization job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 45% Physical, 2% Hybrid, and 53% Remote job distribution, with an average salary of $50,749 per year, or $24.4 per hour.

Research Intern - Video World Models (Research & ML Systems)

Tencent

Palo Alto, CA

$80K - $124K/yr

Full-time

Medical

Posted 22 days ago

Job description

Business UnitWhat the Role EntailsAbout the Position
We are seeking an exceptional Research Intern to join our core team in building the next generation of interactive Video World Models. While traditional generative AI focuses on generating passive pixels (e.g., text-to-video), our mission is fundamentally more ambitious: we are building foundational "World Models" that inherently understand physics, causality, action spaces, and complex dynamics directly from internet-scale data. Our goal is to train models that can simulate and "dream" complex virtual worlds, allowing users and agents to explore and interact with them in real time.
This is not a purely theoretical role.
Training interactive world models at this scale requires pushing the limits of modern computing power. We operate at the intersection of cutting-edge generative AI research and high-performance machine learning systems. We are looking for "full-stack" hacker-researchers-visionary thinkers who are also elite engineers, capable of co-designing novel neural architectures and engineering the highly optimized infrastructure required to train them across large-scale computing cluster.

What You Will Do

  • Architect & Scale Foundation Models: Design, train, and scale state-of-the-art interactive world models (combining Diffusion, Autoregressive Transformers, VAEs, LLMs, VLMs) on massive video datasets.
  • Push the Boundaries of ML Systems: Architect highly scalable distributed training pipelines, utilizing advanced model and data parallelism to train massive models efficiently on large-scale computing cluters.
  • Optimize for Efficiency: Profile and optimize model architectures to break through memory and compute bottlenecks. Write high-performance, custom hardware kernels to maximize Model FLOPs Utilization (MFU) and enable real-time, low-latency inference.
Who We Look For

Requirements

  • Academic Excellence: Currently pursuing a PhD (or Master's degree with a truly exceptional research/engineering track record) in Computer Science, Machine Learning, Computer Architecture, or a related field.
  • Engineering Skills: Exceptional, production-level coding proficiency in Python or other languages. Background in competitive programming is a great plus.
  • AI Infrastructure & Scaling: Experience with modern AI infrastructure stack and large-scale machine learning systems, such as PyTorch FSDP, Megatron, etc. Experience with GPU kernels using CUDA and/or Triton is a great plus.
  • Deep Generative Expertise: Thorough theoretical and practical understanding of modern generative paradigms (Diffusion, Vision Transformers, Autoregressive sequence modeling, discrete tokenization/VAEs).
  • Top-Tier Publication Record: First-author publications in top-tier AI venues (NeurIPS, ICLR, ICML, CVPR, ICCV) OR premier ML Systems venues (MLSys, OSDI, ASPLOS).

Location State(s)

US-California-Palo AltoThe expected base pay range for this position in the location(s) listed above is $80,168.40 to $124,800.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. This position will be eligible for 1 hour of paid sick leave for every 30 hours worked and up to 13 paid holidays throughout the calendar year. Subject to the terms and conditions of the applicable plans then in effect, full-time interns are also eligible to enroll in the Company-sponsored medical plan.Equal Employment Opportunity at Tencent

As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

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