Research, Mid Training — Thinking Machines Lab
Thinking Machines Lab posted a mid-training research role in San Francisco paying $350,000 to $475,000 per year, a range the job board says sits 76% above the $234,000 median for Core ML roles in the …
Thinking Machines Lab posted a mid-training research role in San Francisco paying $350,000 to $475,000 per year, a range the job board says sits 76% above the $234,000 median for Core ML roles in the …
Thinking Machines Lab is hiring a research and finetuning science role in San Francisco at an annual salary range of $350,000 to $475,000, a figure the job board reports as 73% above the $238,000 medi…
Thinking Machines Lab is hiring a Research, Tinker, RL Systems engineer in San Francisco at an annual salary range of $350,000 to $475,000, a figure the job board states sits 73% above the $238,000 me…
A developer's v1.1 experiment reran reasoning-prefill tests using GPT-5.5 Pro as the teacher across 45 problems, finding that Qwen3.8 A95B's unigram source recall jumped from 33.92% to 54.50% (+20.58 …
Thinking Machines Lab, an AI company building frontier models with Inkling and the Tinker tool, is hiring a full-stack Software Engineer, Product in San Francisco with a salary range of $300,000–$475,…
Tinker, an AI model fine-tuning platform, has added GLM 5.3 (256K) to its training lineup, alongside other models such as Inkling, Nemotron-3.5-Lightning-30B-A3B, and Qwen3.8-27B, with prices per mill…
Thinking Machines Lab, a San Francisco-based AI company, is hiring a Research, General Agents role with a salary range of $350,000–$475,000 per year. The position focuses on advancing agentic capabili…
Thinking Machines Lab, a San Francisco-based AI company, is hiring a Coding Agents researcher with a salary range of $350k–475k per year to work on agentic coding capabilities for its frontier models.…
Thinking Machines Lab, an AI company founded by former OpenAI researchers, is hiring a Software Engineer for ML Infrastructure in San Francisco with a salary range of $350,000–$475,000 per year plus e…
Mira Murati, founder of Thinking Machines Lab and former OpenAI executive, has been named one of TIME's 100 Most Influential People in AI for 2025. Her startup, which raised $2 billion in the largest …
Thinking Machines Lab, a San Francisco-based AI company training frontier models with its Inkling system and developing the Tinker personalization tool, is hiring a researcher for post-training evalua…
Thinking Machines Lab, founded by Mira Murati, is offering up to $50,000 in Tinker credits for external safety research on its open-weight Inkling models, as announced on August 24. The program aims t…
As of August 2026, the best open LLM to run locally depends on VRAM, with gpt-oss-20b recommended for 8-12GB, Gemma 4 31B or Qwen3.6-35B-A3B for 24GB, and gpt-oss-120b or DeepSeek V4 Flash for 128GB u…
Bridgewater Associates' AIA Labs and Thinking Machines Lab reported in June 2026 that fine-tuning an open-weight model, Qwen3-235B, on expert-labeled data achieved 84.7% accuracy on six financial info…
Thinking Machines, founded by former OpenAI CTO Mira Murati, released Inkling on July 15, 2026, a 975-billion-parameter AI model with 66 layers and 256 experts per layer, of which only six activate pe…
A developer's independent analysis of reasoning prefills on open models finds that Kimi K3 shows a significant accuracy increase on Humanity's Last Exam questions when prefilled with Opus 4.8 reasonin…
A linear classifier separates image from text embeddings with 100% accuracy in Kimi K3, Inkling, and Qwen3-Omni, revealing that each model's coordinate system, not missing content, causes the modality…
A Swiss provider operating a single 64-GPU cluster in Zurich could generate about CHF 7.4 million in annual revenue and CHF 3 million in EBITDA by selling dedicated Kimi K3-class inference to banks, p…
Thinking Machines' new open-weights LLM Inkling, a nearly 1 trillion parameter model, successfully rewrote several Rust functions for a developer, who applied 2 or 3 of the optimized versions to their…
On July 1, 2026, developer JustVugg released Colibri, a 14,700-line pure-C inference engine that runs GLM-5.2, a 744-billion-parameter Mixture-of-Experts model, on 25GB of RAM with no GPU, using an LR…