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Dit Jobs in California (NOW HIRING)

Machine Learning Engineer, Images

San Francisco, CA · On-site

$200 - $265/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Familiarity with tools and frameworks involved in AI image generation including but not limited to Stable Diffusion, Diffusion Transformers (DiT), Visual Transformers (ViT), Tensorflow, PyTorch ...

Operate, support, and troubleshoot automated test equipment, including DIT-MCO and Cirris testing systems. * Program and interpret electrical schematics and test parameters for continuity, hipot, and ...

Operate, support, and troubleshoot automated test equipment, including DIT-MCO and Cirris testing systems. * Program and interpret electrical schematics and test parameters for continuity, hipot, and ...

Operate, support, and troubleshoot automated test equipment, including DIT-MCO and Cirris testing systems. * Program and interpret electrical schematics and test parameters for continuity, hipot, and ...

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Dit information

See California salary details

$9

$29

$50

How much do dit jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for dit in California is $29.89, according to ZipRecruiter salary data. Most workers in this role earn between $20.38 and $34.86 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of a digital imaging technician on set?

As a DIT, your daily responsibilities include managing and backing up camera footage, ensuring proper exposure and color consistency, and preparing dailies for review. You’ll work closely with the director of photography and camera crew to implement desired looks and troubleshoot any technical issues related to digital files or equipment. DITs also perform quality checks to avoid data loss and help maintain efficient workflows from set to post-production. This hands-on role is essential for maintaining both the creative and technical integrity of a production.

What are the key skills and qualifications needed to thrive as a digital imaging technician?

A Digital Imaging Technician (DIT) needs strong technical knowledge in digital video workflows, color management, and data management, often established through relevant degrees or certifications in film or media production. Familiarity with industry-standard software such as DaVinci Resolve, Adobe Premiere, and various data backup and archiving tools is essential. Exceptional attention to detail, problem-solving, and communication skills help DITs collaborate effectively with cinematographers and post-production teams. These abilities are vital to ensure the security of footage, maintain image quality, and support seamless production processes.

What is a DIT?

A Digital Imaging Technician (DIT) is responsible for managing the digital workflow on a film or television production. They ensure the correct handling, backup, and color integrity of digital footage. DITs collaborate closely with cinematographers to achieve the desired visual style and assist with on-set color grading. Their role bridges the gap between production and post-production, ensuring high-quality footage is maintained throughout the process.

What job categories do people searching Dit jobs in California look for?

The top searched job categories for Dit jobs in California are:

What cities in California are hiring for Dit jobs?

Cities in California with the most Dit job openings:

Infographic showing various Dit job openings in California as of August 2026, with employment types broken down into 66% Full Time, and 34% Contract. Highlights an 100% In-person job distribution, with an average salary of $62,173 per year, or $29.9 per hour.

视频生成模型 · 训练 Infra 工程师

Embedding VC

San Francisco, CA • On-site

$126K - $166K/yr

Full-time

Posted 18 days ago


Job description

我们在训练自研视频生成基础模型(DiT / Flow Matching),需要-位既能搭起训练平台,又能把研究代码变成数百卡集群上稳定结果的工程师.你不只是用平台的人,更是建平台的人.
你会做
• 训练平台搭建:从作业调度,断点续训,监控告警到数据 / 权重流水线,把分散的脚本沉淀为团队可复用的训练基础设施.
• 数百卡规模的分布式训练:FSDP,张量并行,Context Parallel,Ulysses,把 MFU 推到合理水位.
• PB 级视频数据 pipeline:NVDEC 解码,VAE latent 缓存,变分辨率 bucket sampling.
• 显存与性能:FlashAttention,FP8 混合精度,Triton kernel,activation checkpoint 策略.
• 训练稳定性:loss spike 根因分析,断点秒级恢复,慢节点自动剔除.
硬性要求
• 精通 PyTorch distributed 与 CUDA 体系结构.
• 至少-个主流训练框架(Megatron / DeepSpeed / FSDP / TorchTitan)的源码级理解.
• ≥ 256 卡训练实战经验.
• 有从零或半程搭建训练平台 / 集群调度 / 训练工具链的经验.
加分
• DiT / Diffusion / 视频数据处理经验.
• 写过 Triton / CUTLASS kernel.
• 对 HunyuanVideo / Wan / CogVideoX 等开源项目有源码级了解.
我们提供
• 真实数百卡算力,把训练当工程问题的团队,合规边界内的开源 / 发表空间.