Thinking Machines Lab logo
AI/ML
Enterprise SaaS

Thinking Machines Lab

Customizable multimodal AI systems

San Francisco· 46 rolesNew York· 1 role

CORE INFO

$2B
Total Funding
Seed
Round
2025
Founded
~120 employees
Team Size
San Francisco, California, United States
Headquarters

Thinking Machines Lab develops AI systems that integrate multiple data types to enhance human collaboration, catering to researchers and developers who need customizable AI solutions.

  • The company raised $2 billion in a seed round led by Andreessen Horowitz, valuing it at $12 billion.techcrunch.com
  • Thinking Machines Lab launched "Inkling," their first AI model, focusing on enterprise customization and providing full model weights via Hugging Face.axios.com
  • The company announced a strategic partnership with NVIDIA to deploy one gigawatt of computing capacity.axios.com

WHY WE WOULD WORK AT THINKING MACHINES LAB

Innovative AI Solutions

Join a team pioneering customizable multimodal AI systems like 'Inkling' and 'Tinker', designed to enhance human-AI collaboration.

Rapid Growth Opportunities

Be part of a fast-growing startup that expanded from 30 to 120 employees in just over a year, offering ample room for career advancement.

Collaborative Culture

Experience a workplace that values flexibility and adaptability, fostering an environment where scientific progress is shared and celebrated.

Strong Financial Backing

Benefit from the stability of a well-funded startup, having raised $2 billion in seed funding from top investors like Andreessen Horowitz and NVIDIA.

Cutting-Edge Technology

Work with state-of-the-art tools and technologies, including open-weight AI models that allow for extensive customization and fine-tuning.

Impactful Work

Contribute to projects that aim to make AI systems more understandable and accessible, bridging the gap between advanced technology and practical applications.

MARKET AND TRACTION

TOTAL ADDRESSABLE MARKET

  • Thinking Machines Lab focuses on customizable multimodal AI systems, which have a broad application across various sectors requiring advanced AI capabilities.

  • The demand for AI solutions is rapidly increasing, particularly in industries such as healthcare, finance, and technology, where personalized AI systems can enhance productivity and decision-making.
  • KEY METRICS

    ✦ KEY METRIC
  • Total Funding: $2 billion raised in a seed round led by Andreessen Horowitz, valuing the company at $12 billion.

  • Team Size: Approximately 120 employees as of March 2026, indicating rapid growth since the company's founding in 2025.
  • GROWTH TACTICS

  • The company emphasizes human-AI collaboration, aiming to make AI systems more widely understood and customizable.

  • Thinking Machines Lab has partnered with NVIDIA to deploy significant computing capacity, enhancing their technological capabilities and market reach.
  • SERVICES

  • Thinking Machines Lab offers 'Inkling,' an open-weight AI model designed for enterprise customization, allowing users to adapt the model to their specific needs.

  • 'Tinker' is a cloud-based API that enables researchers and developers to fine-tune language models without managing the underlying infrastructure, promoting accessibility in AI development.
  • COMPETITIVE ADVANTAGE

  • The company's focus on customizable and multimodal AI systems sets it apart from competitors, allowing for greater flexibility and personalization.

  • By providing open-weight models and tools for fine-tuning, Thinking Machines Lab empowers users to create tailored AI solutions that meet their unique requirements.
  • PRODUCT AND TECH

    Inkling AI Model

    Inkling is an open-weight AI model designed for enterprise customization, allowing users to access full model weights via Hugging Face. This flexibility enables organizations to tailor AI capabilities to their specific needs, enhancing collaboration between humans and AI.

    Tinker API

    Tinker is a cloud-based API that empowers researchers and developers to fine-tune language models without the burden of managing underlying infrastructure. This service streamlines the process of customizing AI models, making advanced AI technology more accessible.

    Multimodal AI Systems

    Thinking Machines Lab specializes in developing customizable multimodal AI systems that integrate various forms of data. This approach enhances human-AI collaboration by allowing systems to process and understand diverse inputs, leading to more effective interactions.

    Empirical AI Safety

    The company adopts an empirical approach to AI safety, focusing on building solid foundations in model intelligence. This commitment ensures that AI systems are not only powerful but also safe and reliable for practical applications.

    Human-AI Collaboration

    Thinking Machines Lab emphasizes the importance of human-AI collaboration in its product design and development. By prioritizing flexibility, adaptability, and personalization, the company aims to create AI systems that work seamlessly alongside humans.

    COMPANY CULTURE

    Values

  • Human-AI collaboration is paramount

  • Flexibility and adaptability in AI systems

  • Commitment to sharing scientific progress

  • Emphasis on personalization and customization

  • Focus on empirical approaches to AI safety
  • Operating Principles

  • Foster an environment of open communication

  • Encourage iterative development and feedback

  • Prioritize collaboration across teams

  • Maintain a strong foundation in model intelligence

  • Support continuous learning and innovation
  • Benefits

  • Opportunities for professional growth and development

  • Access to cutting-edge AI technologies

  • Collaborative work environment with top talent

  • Flexible work arrangements to promote work-life balance

  • Engaging projects that impact various industries
  • Team Cadence

  • Regular team meetings to align on goals

  • Bi-weekly check-ins for project updates

  • Monthly all-hands meetings to share company progress

  • Open-door policy for feedback and suggestions

  • Encouragement of cross-functional collaboration
  • Learning & Growth

  • Continuous training on the latest AI advancements

  • Support for attending industry conferences and workshops

  • Mentorship programs for skill development

  • Access to resources for personal and professional growth

  • Encouragement of innovative thinking and experimentation
  • COMPENSATION SNAPSHOT

    B+
    Comp score vs cohort
    vs. AI/ML · Seed · US
    Based on publicly available compensation ranges from job postings; exact compensation may vary.
    Engineering IC3n = 19
    $350K – $475Kmedian $413K
    Los Angeles / Bay Area
    Engineering Managern = 4
    $375K – $488Kmedian $431K
    Los Angeles / Bay Area
    G&An = 5
    $225K – $300Kmedian $263K
    Los Angeles / Bay Area
    Operationsn = 3
    $225K – $250Kmedian $238K
    Los Angeles / Bay Area
    US-only in v1 · only categories with n > 2 shown · in-person / hybrid / remote treated separately where n ≥ 3

    HIRING SIGNAL

    47
    Open roles on their careers page
    Snapshot via live ATS poll
    —
    Net new roles in the last 90 days
    Available once weekly history accrues
    90-Day VelocityV2 · BACKFILL
    Trend builds weekly as historical rows accrue
    By Function
    Breakdown of open roles
    Other · 31
    Design · 1
    G&A · 1
    Product · 2
    Operations · 3
    Engineering · 9
    Top Locations
    Where hiring is concentrated
    Remote-eligible postings counted separately
    San Francisco
    46
    New York
    1
    SourcesGreenhouseLeverAshbyWorkableSmartRecruitersRipplingRecruiteeFallback · Wellfound, YC Work-at-a-Startup, careers-page scrape

    KEY COMPANY ANNOUNCEMENTS

    Filter
    10 announcements · ranked by importance
    Jul 15, 2025FUNDINGThinking Machines Lab Raises a Record $2 Billion, Announces Cofounders | WIREDwired.com
    Jan 22, 2026PRESSThe turmoil at Thinking Machines Labnytimes.com
    Jul 15, 2026PRODUCTMira Murati's Thinking Machines debuts first AI modelaxios.com
    Oct 1, 2025PRODUCTExclusive: Mira Murati’s Stealth AI Lab Launches Its First Product | WIREDwired.com
    Feb 18, 2025FOUNDER PROFILEMira Murati Launches Thinking Machines Lab to Make AI More Accessible | WIREDwired.com
    Mar 10, 2026CUSTOMER WINThinking Machines Lab inks massive compute deal with Nvidia | TechCrunchtechcrunch.com
    Oct 11, 2025PRESSThinking Machines Lab Co-Founder Departs for Metawsj.com
    May 11, 2026PRESSInteraction Modelsthinkingmachines.ai
    Aug 1, 2026MILESTONEA Safe Path to Open Weightsthinkingmachines.ai
    Apr 22, 2026CUSTOMER WINThinking Machines Expands Use of Google Cloud AI Hypercomputer - Apr 22, 2026googlecloudpresscorner.com