FirstPrinciples is a research company building AI systems for discovery in fundamental science, starting with Theo, the AI Physicist, and systems for AI research and automated conjecturing.
Science & Engineering • Quantum Science & Computing • Artificial Intelligence
≈ $173k – $299k per year (Estimated) • Staff+ • In office • PhD • Full-Time • Staff
Multimodal AI
NLP
Reinforcement Learning
Prime Intellect is an artificial intelligence infrastructure company headquartered in San Francisco, California, and founded in 2023. The company provides a decentralized platform for training, evaluating, and deploying large-scale AI models, featuring tools for reinforcement learning, agent development, and a global compute marketplace. It operates globally by aggregating computing resources from various providers to enable researchers and developers to build open-source models and autonomous agents.
HQ: San Francisco, United States • Cloud Computing • Information Technology • LLM & Generative AI • Reinforcement Learning • AI Agents • Artificial Intelligence • Hardware • AI Infrastructure • Est. 2023
$150k – $300k per year • Equity • In office (San Francisco, United States) • Relocation • Visa sponsorship • Full-Time
JavaScript
TypeScript
Databases
Databricks
AI/ML
AI Agents
DSPy
LangChain
LangGraph
OpenRouter
Perplexity
Ray
Reinforcement Learning
RLHF
SGLang
Together AI
vLLM
GRPO
LLM Evaluation
OpenAI
Post-training
SFT
Function Calling
Model Context Protocol
LLM
Synthetic Data
Frontend
Next.js
React.js
DevOps
Cloudflare
Datadog
Grafana
Prometheus
Docker
Kubernetes
Terraform
Management
Zapier
$150k – $300k per year • Equity • Remote/Hybrid (New York, United States) • Relocation • Visa sponsorship • Full-Time
Databricks
AI/ML
AI Agents
LangChain
OpenRouter
Perplexity
Ray
Reinforcement Learning
RLHF
SGLang
Together AI
vLLM
GRPO
LLM Evaluation
OpenAI
Post-training
SFT
Function Calling
DevOps
Cloudflare
Datadog
Docker
Grafana
Kubernetes
Prometheus
Terraform
Management
Zapier
NODA AI is a defense autonomy company headquartered in Austin, Texas, and founded in 2024. The company develops a vendor agnostic reasoning layer that coordinates manned and unmanned platforms across air, surface, subsurface, ground, and space domains from a single decision system. It works with United States and United Kingdom defence customers and raised a 25 million dollar Series A in 2026 to deliver those programmes.
HQ: Austin, United States • Military Drones • Military & Tactical Robotics • Robotics • Defense AI • C4ISR • Military • Artificial Intelligence • 201-500 employees • Est. 2024
Equity • Senior • 6+ years exp • In office (Austin, United States) • Full-Time • Senior
C++
Python
Rust
AI/ML
Reinforcement Learning
Robotics
AirSim
Gazebo
Isaac Sim
Motion Planning
Path Planning
Sensor Fusion
Zenoh
MAVLink
Reinforcement Learning
Swarm Robotics
IoT
MQTT
≈ $137k – $256k per year (Estimated) • Equity • Middle • 3+ years exp • In office (Austin, United States) • Full-Time • Middle
Python
AI/ML
AI Agents
Explainable AI
LangChain
LLM
Prompt Engineering
PyTorch
Quantization
Transformers
Human-in-the-Loop
Reinforcement Learning
Robotics
ROS
Reinforcement Learning
Sensor Fusion
Cartesia is an artificial intelligence research and technology company that builds real-time, low-latency generative voice models for interactive applications. Founded by Stanford researchers, the company utilizes State Space Models (SSMs) to power its flagship text-to-speech platform, Sonic, which enables sub-second voice synthesis, instant voice cloning, and emotional expression across dozens of languages. By providing real-time speech generation and voice agent infrastructure, Cartesia allows developers and enterprises to power conversational AI systems, virtual assistants, and customer service platforms.
HQ: San Francisco, United States • LLM & Generative AI • Artificial Intelligence • Speech & Audio AI • 11-50 employees • Est. 2022
$200k – $350k per year • Equity • In office (San Francisco, United States) • Visa sponsorship • Full-Time
Databricks
AI/ML
Fine-tuning
Multimodal AI
Reinforcement Learning
Synthetic Data
Post-training
SFT
Hark was an online digital entertainment platform best known for its extensive library of short audio soundbites, video clips, and pop culture quotes. Launched in 2007, the website allowed users to browse, create, and share playable soundboards featuring memorable lines from movies, television shows, and political figures. While it grew into a popular destination for viral sound clips during the late 2000s and early 2010s, the platform has since ceased its original operations.
HQ: San Jose, United States • Machine Learning • Artificial Intelligence
$180k – $450k per year • Staff+ • In office (San Jose, United States) • Full-Time • Staff
Python
AI/ML
Fine-tuning
Knowledge Distillation
LLM
Multimodal AI
PyTorch
Reinforcement Learning
RLHF
Synthetic Data
DPO
GRPO
Post-training
PPO
AI Agents
Function Calling
Robotics
Imitation Learning
Reinforcement Learning
$180k – $450k per year • Staff+ • In office (San Jose, United States) • Full-Time • Staff
Python
AI/ML
Fine-tuning
Knowledge Distillation
LLM
Multimodal AI
PyTorch
Reinforcement Learning
Synthetic Data
Post-training
Pre-training
AI Agents
Function Calling
Robotics
Reinforcement Learning
$180k – $450k per year • Staff+ • In office (San Jose, United States) • Full-Time • Staff
DeepSpeed
Fine-tuning
Multimodal AI
Reinforcement Learning
RLHF
DPO
FSDP
GRPO
Megatron-LM
Post-training
PPO
SFT
AI Agents
Cohere is a Canadian AI company founded in 2019 and headquartered in Toronto. It builds secure, enterprise-focused large language models and AI tools for businesses and regulated industries. The company is known for emphasizing privacy, private deployment, and "sovereign AI" rather than consumer chat products
HQ: Toronto, Canada • Energy & Utilities • Biotechnology • Natural Language Processing • LLM & Generative AI • Artificial Intelligence • 1001-5000 employees • Est. 2019
≈ $124k – $271k per year (Estimated) • Staff+ • Remote/Hybrid (London, United Kingdom) • Full-Time • Staff
AI Agents
Reinforcement Learning
Synthetic Data
xAI is an American artificial intelligence company founded by Elon Musk in 2023 with the stated goal of building models that help humans understand the universe. It develops the Grok family of large language models, distributes them through a consumer assistant, a developer API and deep integration with the X social platform, and adds image and video generation through Grok Imagine. The company runs its own Colossus supercomputer clusters in Memphis, Tennessee, is headquartered in Palo Alto, California, and merged with X Corp in 2025 to combine model development with a large consumer distribution channel.
HQ: Palo Alto, United States • Multimodal AI • AI Agents • Machine Learning • LLM & Generative AI • Artificial Intelligence • 1001-5000 employees • Est. 2023
$440k per year • Staff+ • In office (Palo Alto, United States) • Staff
C++
Python
Rust
AI/ML
LLM
Reinforcement Learning
$600k per year • Staff+ • In office (Palo Alto, United States) • Staff
Reinforcement Learning
RLHF
DPO
Post-training
$450k per year • In office (Palo Alto, United States)
Python
AI/ML
Fine-tuning
JAX
PyTorch
Ray
Reinforcement Learning
Spark
Synthetic Data
Post-training
Pre-training
SFT
DevOps
Kubernetes
Analytics
A/B Testing
Blueprint is redefining the data solutions ecosystem. Headquartered in the greater Seattle area with employees across the US and Europe, Blueprint is a data intelligence firm that is committed to delivering an informed world. Focusing on customer experience and intelligent supply chain in retail, manufacturing, technology and the federal government, we enable digital transformation by offering technology solutions that build digital culture, make employees more productive, improve satisfaction and increase revenue.
Washington • Redmond • Bellevue • Los Angeles • Charlotte • Supply Chain • Artificial Intelligence • Data & Analytics
$180k – $200k per year • Senior • 5+ years exp • In office (Redmond, United States) • Master's Degree • Senior
Fine-tuning
PyTorch
TensorFlow
Diffusion Models
Reinforcement Learning
DevOps
Azure
Robotics
Perception
Applied Intuition is a Silicon Valley software company founded in 2017 that develops digital infrastructure and simulation platforms for autonomous systems and physical AI. The platform provides advanced tools for simulation, synthetic data generation, and vehicle software management, allowing engineers to develop, test, and safely deploy self-driving technology. It serves leading global automotive manufacturers, defense organizations, and commercial transport companies across sectors like trucking, agriculture, and mining.
HQ: Mountain View, United States • Smart Mobility • Manufacturing • Automotive Manufacturing • Artificial Intelligence • Autonomous Driving • 1001-5000 employees • Est. 2017
Equity • Senior • 5+ years exp • In office (Seoul, South Korea) • Bachelor's Degree • Full-Time • Senior • Korean: C1 (Optional)
C++
Python
AI/ML
Reinforcement Learning
AI Agents
Robotics
Reinforcement Learning
ArduPilot
Path Planning
$250k – $423k per year • Junior • 1+ year exp • In office (Sunnyvale, United States) • PhD • Full-Time • Junior
Computer Vision
Reinforcement Learning
Post-training
Robotics
Reinforcement Learning
Imitation Learning
Sim-to-Real
Teleoperation
$140k – $200k per year • Junior • In office (Sunnyvale, United States) • Master's Degree • Full-Time • Junior
Python
AI/ML
Computer Vision
Multimodal AI
PyTorch
Reinforcement Learning
Post-training
Robotics
Diffusion Policy
Reinforcement Learning
MMLab@NTU is an academic research laboratory housed within Nanyang Technological University (NTU Singapore). Founded in 2018 and led by prominent faculty including Prof. Chen Change Loy and Prof. Ziwei Liu, the lab comprises roughly 40 researchers pioneering artificial intelligence, computer vision, multimodal foundation models, spatial intelligence (3D/4D generation), and embodied AI (vision-language-action robotics).
Singapore • Artificial Intelligence • 1001-5000 employees • Est. 2018
≈ $83k – $230k per year (Estimated) • Middle • In office (Singapore) • Master's Degree • Full-Time • Middle
C++
Python
C++
PyTorch C++
AI/ML
Computer Vision
Multimodal AI
PyTorch
Reinforcement Learning
Robotics
Isaac Gym
Reinforcement Learning
ROS
Sim-to-Real
Sabre Corporation is a global travel technology provider headquartered in Southlake, Texas, with roots dating back to its founding in 1960. The company develops and maintains a large-scale global distribution system that connects travel suppliers like airlines and hotels with travel buyers such as agencies and corporate travel departments. It operates an extensive marketplace across more than 160 countries, offering modular software, data analytics, and AI-powered retailing tools to optimize operations for the entire travel industry.
HQ: Southlake, United States • Predictive Analytics • Artificial Intelligence • Analytics Platforms • Data & Analytics • Business Process Automation (BPA) • Software • Travel & Tourism • Travel Technology • 1001-5000 employees • Est. 1960
≈ $33k – $74k per year (Estimated) • Lead • 7+ years exp • In office (Bengaluru, India) • PhD • Full-Time • Staff
C++
Python
Databases
Google BigQuery
AI/ML
NLP
Reinforcement Learning
AI Agents
LangChain
LlamaIndex
RAG
Vertex AI
DevOps
GCP
Docker
Kubernetes
Management
Linear
≈ $33k – $74k per year (Estimated) • Lead • 10+ years exp • In office (Bengaluru, India) • PhD • Full-Time • Principal
C++
Python
Databases
Google BigQuery
AI/ML
NLP
Reinforcement Learning
AI Agents
LangChain
LlamaIndex
RAG
Vertex AI
DevOps
GCP
Docker
Kubernetes
Management
Linear
≈ $31k – $61k per year (Estimated) • Senior • 4+ years exp • In office (Bengaluru, India) • Master's Degree • Full-Time • Senior
C++
Python
Databases
Google BigQuery
AI/ML
NLP
RAG
Reinforcement Learning
Vertex AI
AI Agents
DevOps
Docker
GCP
Kubernetes
Sanofi is a French global healthcare and pharmaceutical leader dedicated to discovering, developing, and delivering innovative therapeutic solutions worldwide. The company specializes in prescription medicines, vaccines, and biopharmaceuticals across key areas such as immunology, oncology, rare diseases, and cardiovascular health. Leveraging cutting-edge science and digital healthcare technologies, Sanofi aims to transform medical practice and improve patient lives globally.
HQ: Paris, France • Health Care • Biotechnology • Pharmaceuticals • 1001-5000 employees
$63k – $84k per year • In office (Lyon, France) • Master's Degree • Full-Time
Python
SQL
Databases
Databricks
AI/ML
Edge AI
Federated Learning
Reinforcement Learning
Spark
Streamlit
Time Series Forecasting
Frontend
Lighthouse
DevOps
AWS
CI/CD
GCP
Analytics
Matplotlib
Plotly
Power BI
Seaborn
Tableau
$82k – $110k per year • Senior • 8+ years exp • In office (Barcelona, Spain) • Master's Degree • Full-Time • Staff
Python
SQL
R
R
ggplot2
AI/ML
LLM
NLP
Reinforcement Learning
DevOps
GitHub
Analytics
Plotly
Power BI
Sonatus is an automotive technology company headquartered in Sunnyvale, California, and was founded in 2018. The firm provides the Fastlane platform, a suite of cloud-to-edge solutions including data collection, edge computing, and AI-driven diagnostics designed to power software-defined vehicles. It operates globally by partnering with major automotive manufacturers and suppliers to implement vehicle architectures that facilitate data management and lifecycle optimization.
HQ: Sunnyvale, United States • Smart Mobility • Transportation & Logistics • Automotive Manufacturing • Manufacturing • Embedded Software • Software • Edge AI • Artificial Intelligence • 201-500 employees • Est. 2018
≈ $189k – $327k per year (Estimated) • Staff+ • In office (Sunnyvale, United States) • Master's Degree • Internship • Architect
Python
AI/ML
Computer Vision
Reinforcement Learning
Time Series Forecasting
Transformers
AI Agents
Analytics
A/B Testing
Abridge is an AI-powered clinical documentation platform that transforms patient-clinician conversations into structured, real-time medical notes. Designed to reduce administrative burden and clinician burnout, the platform integrates seamlessly into major electronic health record (EHR) systems like Epic. By leveraging specialized healthcare language models, Abridge enables medical providers to spend less time on paperwork and focus more on delivering quality patient care.
HQ: San Francisco, United States • Health Care • Medical AI • Artificial Intelligence • 201-500 employees
$250k – $290k per year • Equity • Lead • 7+ years exp • Remote/Hybrid • Relocation • PhD • Full-Time • Staff
Fine-tuning
Post-training
Knowledge Distillation
LLM
Reinforcement Learning
AI Agents
Apptronik is a humanoid robotics company spun out of a robotics laboratory at the University of Texas at Austin in 2016. Its Apollo robot is designed for logistics and manufacturing work such as case handling and machine tending, with force-controlled actuators built in-house. The company works with Google DeepMind on robot learning and has run pilots with large manufacturers and retailers.
HQ: Austin, United States • Artificial Intelligence • Design & Creative • Robotics • Est. 2016
$215k – $245k per year • Staff+ • 10+ years exp • In office (Sunnyvale, United States) • Bachelor's Degree • Staff
Fine-tuning
Reinforcement Learning
Robotics
Apollo
Imitation Learning
Reinforcement Learning
Teleoperation
$300k – $350k per year • Staff+ • 8+ years exp • In office (Sunnyvale, United States) • Master's Degree • Staff
C++
Python
AI/ML
Reinforcement Learning
Robotics
Model Predictive Control
Reinforcement Learning
Teleoperation
≈ $224k – $420k per year (Estimated) • Staff+ • 8+ years exp • In office (Austin, United States) • Master's Degree • Staff
C++
Python
AI/ML
Reinforcement Learning
Robotics
Model Predictive Control
Reinforcement Learning
Teleoperation
Scale AI is an American company founded in San Francisco in 2016 that supplies the training data, evaluation and tooling behind large artificial intelligence systems. It began with human-labelled annotation for autonomous driving and computer vision, then expanded into reinforcement learning from human feedback, expert data generation, model evaluation and full-stack deployment platforms for enterprises and governments. In 2025 Meta acquired a large minority stake and hired co-founder Alexandr Wang, after which the company continued under new leadership serving defence, public sector and commercial customers.
HQ: San Francisco, United States • Defense AI • Data & Analytics • Data Collection • LLM & Generative AI • Artificial Intelligence • 1001-5000 employees • Est. 2016
≈ $232k – $508k per year (Estimated) • Equity • In office (San Francisco, United States) • Master's Degree • Full-Time
Fine-tuning
LLM
Multimodal AI
Reinforcement Learning
RLHF
Post-training
SFT
≈ $232k – $508k per year (Estimated) • Equity • In office (San Francisco, United States) • Master's Degree • Full-Time
Fine-tuning
LLM
Multimodal AI
Reinforcement Learning
RLHF
Post-training
SFT
≈ $199k – $432k per year (Estimated) • Equity • Lead • 2+ years exp • In office (Washington, United States) • Full-Time • Staff
Fine-tuning
Prompt Engineering
Reinforcement Learning
RLHF
Post-training
Scale AI
SFT
Wayve is a British autonomous driving technology company that develops end-to-end "Embodied AI" foundation models for self-driving vehicles and advanced driver assistance systems (ADAS). Founded in 2017 by University of Cambridge researchers, Wayve pioneered what it calls the "AV2.0" approach to autonomous vehicles. Unlike traditional self-driving stacks that rely on rigid hand-coded rules, high-definition (HD) 3D maps, and specialized sensors, Wayve uses a unified deep learning model.
HQ: London, United Kingdom • Transportation & Logistics • Ride Hailing • Artificial Intelligence • Autonomous Driving • 201-500 employees
$336k – $370k per year • Equity • Staff+ • Remote/Hybrid (Sunnyvale, United States) • Staff
Python
C++
C++
PyTorch C++
AI/ML
Ignite
PyTorch
Reinforcement Learning
CUDA
CUDA Toolkit
Multimodal AI
Mixture of Experts
Robotics
Reinforcement Learning
Motion Planning
≈ $110k – $307k per year (Estimated) • Middle • 4+ years exp • Remote/Hybrid (London, United Kingdom) • Middle
Python
AI/ML
Ignite
Multimodal AI
PyTorch
Reinforcement Learning
Robotics
Reinforcement Learning
Sensor Fusion
Sim-to-Real
$370k – $419k per year • Equity • Remote/Hybrid (Sunnyvale, United States) • Master's Degree
Ignite
Multimodal AI
Reinforcement Learning
PyTorch
Computer Vision
Robotics
Imitation Learning
Reinforcement Learning
DoorDash is an American technology company headquartered in San Francisco that operates a leading global local commerce and on-demand delivery platform. The company connects consumers with local merchants, offering last-mile logistics for restaurant meals, groceries, convenience goods, and retail items delivered by independent couriers. Beyond its core consumer marketplace, DoorDash provides digital ordering software, merchant advertising tools, and white-label fulfillment services for businesses across multiple countries.
HQ: San Francisco, United States • Commerce • Marketplaces • Transportation & Logistics • Delivery
$4k – $14k per year • Equity • Staff+ • In office (San Francisco, United States) • Bachelor's Degree • Staff
C++
AI/ML
Claude
Claude Code
Cursor
JAX
Reinforcement Learning
OpenAI Codex
AI Agents
TensorRT
Robotics
Reinforcement Learning
Sim-to-Real
$4k – $14k per year • Equity • Senior • 5+ years exp • In office (San Francisco, United States) • Relocation • Bachelor's Degree • Senior
Python
AI/ML
Claude
Claude Code
Cursor
Multimodal AI
PyTorch
Reinforcement Learning
Spark
OpenAI Codex
$4k – $14k per year • Equity • Senior • 6+ years exp • In office (San Francisco, United States) • Bachelor's Degree • Senior
Python
AI/ML
Claude
Claude Code
Cursor
DeepSeek
Embeddings
Fine-tuning
LLM
LoRA
Qwen
Reinforcement Learning
RLHF
PEFT
DPO
LLM Guardrails
OpenAI Codex
Post-training
SFT
AI Agents
AWQ
GPTQ
Quantization
RAG
SGLang
TensorRT
TensorRT-LLM
vLLM
Model Context Protocol
DevOps
AWS
GCP
Kubernetes
Vector
Jump Trading is a proprietary trading firm focused on quantitative and high-speed strategies. It invests heavily in networking, hardware acceleration and research computing. The firm also runs ventures in cryptocurrency infrastructure and machine learning research.
HQ: Chicago, United States • Est. 1999
≈ $116k – $228k per year (Estimated) • Senior • 5+ years exp • In office (Chicago, United States) • Master's Degree • Senior • English
C++
Python
C++
PyTorch C++
TensorFlow C++
AI/ML
JAX
PyTorch
Reinforcement Learning
TensorFlow
Robotics
Reinforcement Learning
≈ $148k – $324k per year (Estimated) • In office (New York, United States) • Master's Degree
Python
AI/ML
JAX
PyTorch
InfiniBand
NVLink
Pre-training
TPU
CUDA
CUDA Toolkit
Fine-tuning
Reinforcement Learning
Triton
Post-training
DevOps
Kubernetes
SLURM
HPC
Databricks is an American software company founded in 2013 by the original creators of Apache Spark, Delta Lake and MLflow at the University of California, Berkeley. Its data intelligence platform unifies data engineering, warehousing, governance, analytics and machine learning on a lakehouse architecture that stores open table formats in a customer's own cloud object storage. Headquartered in San Francisco and available on AWS, Azure and Google Cloud, the platform is used by tens of thousands of organisations to build pipelines, dashboards and production AI applications.
HQ: San Francisco, United States • MLOps • Machine Learning • Big Data • Data Engineering • Artificial Intelligence • Data & Analytics • Data Warehousing • 5000+ employees • Est. 2013
≈ $106k – $256k per year (Estimated) • Staff+ • In office (Amsterdam, Netherlands) • Architect
Python
SQL
Databases
Databricks
AI/ML
Fine-tuning
LLM
PyTorch
Reinforcement Learning
RLHF
Spark
Transformers
AI Agents
GRPO
Post-training
PPO
SFT
Analytics
ETL/ELT
≈ $80k – $193k per year (Estimated) • Staff+ • In office (Paris, France) • Architect
Python
SQL
Databases
Databricks
AI/ML
Fine-tuning
LLM
PyTorch
Reinforcement Learning
RLHF
Spark
Transformers
AI Agents
GRPO
Post-training
PPO
SFT
Analytics
ETL/ELT
≈ $216k – $438k per year (Estimated) • Staff+ • 2+ years exp • In office (San Francisco, United States) • Bachelor's Degree • Staff
Databricks
AI/ML
Reinforcement Learning
Edge AI
Post-training
AI Agents
