HQ: San Francisco, United States • Code Intelligence • AI Research Labs • AI Safety & Alignment • Foundation Models • LLM & Generative AI • 1001-5000 employees • Est. 2021 • Trust B • Hiring 674, 45 new
Anthropic is an American artificial intelligence safety and research company founded in 2021 by former OpenAI researchers, among them the siblings Dario and Daniela Amodei. It develops the Claude family of large language models and ships them through a consumer assistant, an enterprise developer platform and the Claude Code agentic coding tool, alongside open standards such as the Model Context Protocol. Incorporated as a public benefit corporation and headquartered in San Francisco, the company concentrates on interpretability, alignment and reliability research and counts Google and Amazon among its largest investors.
Jared Kaplan · Co-Founder & Chief Science Officer · decision-maker
Daniela Amodei · Co-Founder & President · decision-maker
Dario Amodei · Co-Founder & Chief Executive Officer · decision-maker
Tom Brown · Co-Founder · founder
No careers mailbox known
$245k – $285k per year • Hybrid (Boston, San Francisco, United States) • Bachelor's Degree
JavaScript
Python
AI/ML
Anthropic
Claude
Multimodal AI
Interpretability
AI Agents
$315k – $380k per year • Staff+ • 8+ years exp • Hybrid (New York, San Francisco, United States) • Bachelor's Degree • Architect
Multimodal AI
Anthropic
Interpretability
Model Context Protocol
Claude
DevOps
GCP
Azure
AWS
Cybersecurity
PCI DSS
SOC 2
HIPAA
GDPR
+4
Reinforcement Learning • LLM & Generative AI • Artificial Intelligence • 501-1000 employees • Hiring 2, 2 new
View this page in ? View Building the open platform for AI training OpenTrain is a transparent talent marketplace connecting AI companies with vetted trainers and data labelers - with published pricing, live-proctored vetting, and one platform across 20+ annotation tools.
No named decision-maker yet.
Careers mailbox is known
≈ $13k – $31k per year (Estimated) • Junior • 1+ year exp • India • Remote (India) • Part-Time
HQ: Bengaluru, India • LLM & Generative AI • AI Consulting & Integration • Hiring 24, 16 new
Random Trees is a technology company that builds enterprise AI and generative AI solutions for automation, analytics and digital transformation. It hires AI and machine learning engineers, data engineers, data modelers and full stack developers with MLOps, cloud and data platform skills. The company is based in the United States, with delivery teams in Bengaluru, Hyderabad, Chennai and Gurgaon.
No named decision-maker yet.
Careers mailbox is known
≈ $24k – $62k per year (Estimated) • Lead • 6+ years exp • In office (Chennai, India) • Staff
Python
Python
bandit
Databases
Databricks
AI/ML
Fine-tuning
Reinforcement Learning
Multimodal AI
NLP
LLMOps
Computer Vision
PyTorch
Machine Learning
AI Agents
DevOps
Azure AKS
Kubernetes
Azure
+7
≈ $22k – $45k per year (Estimated) • Senior • 10+ years exp • In office (Hyderabad, Chennai, Bengaluru, India) • Senior
SQL
Python
AI/ML
Scikit-learn
Time Series
TensorFlow
PyTorch
Machine Learning
AI Agents
DevOps
GCP
Azure
AWS
+3
HQ: San Francisco, United States • Foundation Models • LLM & Generative AI • Search Engines • AI Search • 1001-5000 employees • Est. 2022 • Trust B • Hiring 130, 10 new
Perplexity AI is an American company that builds an answer engine combining live web search with large language models to return sourced, conversational responses instead of a list of links. Its products span a consumer assistant on web and mobile, the Comet browser, enterprise search over internal documents and the Sonar developer API that exposes the same grounded retrieval stack. Founded in 2022 in San Francisco by former researchers and engineers from OpenAI, Meta and Databricks, the company is backed by NVIDIA, IVP, New Enterprise Associates and SoftBank.
Johnny Ho · Co-Founder & Chief Strategy Officer · decision-maker
Denis Yarats · Co-Founder & Chief Technology Officer · decision-maker
Aravind Srinivas · Co-Founder & Chief Executive Officer · decision-maker
Aravind Lakshminarayanan · Director, Executive Officer · decision-maker
No careers mailbox known
$200k – $350k per year • Staff+ • In office (San Francisco, Washington, United States) • PhD • Full-Time • Staff
$220k – $405k per year • Staff+ • 5+ years exp • In office (San Francisco, Seattle, New York, United States) • Full-Time • Staff
Rust
Go
Python
AI/ML
Function Calling
Perplexity
LLM
Machine Learning
HQ: Shanghai, China • Generative Audio & Music • Conversational AI • LLM & Generative AI • Foundation Models • Generative Video • 1001-5000 employees • Est. 2021 • Trust B • Hiring 147, 9 new
MiniMax is a Chinese artificial intelligence company founded in Shanghai in 2021 by former SenseTime researchers, and one of the country's most commercially aggressive model developers. It builds text, speech, image and video foundation models in house and pushes them straight into consumer products, including the Hailuo video generator and the Talkie and Xingye companion applications that have found large audiences inside and outside China. The company also sells API access to enterprises, released the open-weight M-series reasoning models, and listed in Hong Kong in 2025.
Yan Junjie · Founder & Chief Executive Officer · decision-maker
Zhou Yucong · Co-Founder · founder
Yang Bin · Co-Founder · founder
No careers mailbox known
In office (Shanghai, China) • Full-Time • Senior • Chinese: C1
In office (Shanghai, China) • Full-Time • Chinese: C1
Redis
MySQL
DevOps
gRPC
Kubernetes
HQ: London, United Kingdom • LLM & Generative AI • AI for Science • Foundation Models • AI Research Labs • 1001-5000 employees • Est. 2010 • Hiring 117, 34 new
Google DeepMind is the artificial intelligence research and engineering division of Alphabet, formed in 2023 by merging the London laboratory founded in 2010 with the Google Brain team. It builds frontier foundation models such as the Gemini family, generative media systems including Veo and Imagen, and scientific tools like AlphaFold, whose protein structure predictions earned a share of the 2024 Nobel Prize in Chemistry. The unit pairs long-horizon research on reinforcement learning and general intelligence with product delivery across Google Search, Workspace, Android and Google Cloud.
Shane Legg · Co-Founder & Chief AGI Scientist · decision-maker
Demis Hassabis · Co-Founder & Chief Executive Officer · decision-maker
Lila Ibrahim · Chief Operating Officer · decision-maker
Koray Kavukcuoglu · Chief Technology Officer · decision-maker
No careers mailbox known
≈ $176k – $393k per year (Estimated) • In office (Mountain View, United States) • PhD
Python
AI/ML
Gemma
JAX
Multimodal AI
Flax
Machine Learning
Fine-tuning
Reinforcement Learning
Post-training
AI Agents
+2
≈ $196k – $407k per year (Estimated) • Lead • 10+ years exp • In office (Mountain View, United States) • Bachelor's Degree • Staff
Skills these roles ask for
Python 849LLM 559AI Agents 487PyTorch 393Machine Learning 367C++ 273OpenAI 267Multimodal AI 208RAG 193Anthropic 175Kubernetes 166Fine-tuning 153NLP 137TypeScript 134Post-training 127AWS 125
Baidu
OpenAI
iFlytek
Sber
Anthropic
Mistral AI
MiniMax
Google DeepMind
Cohere
Scale AI
Perplexity AI
Sierra
Moonshot AI
SenseTime
Fireworks AI
