Build simulation and real-world environments for training and evaluating embodied agents.
Train long-horizon robots with RL, imitation learning, and world models under hardware constraints.
Run post-training experiments to find what works and share reusable open-source systems.
Prime Intellect builds the open superintelligence stack, making frontier AI infrastructure available to ambitious AI teams. With $150M in funding from top investors, they are a well-funded startup focused on open-source AI and decentralized training.
Implement, validate, and iterate on machine learning algorithms for weld perception tasks including point cloud registration and seam detection.
Build and maintain data pipelines for training and evaluating perception models, spanning annotated 3D scan data and synthetic data generation.
Integrate trained models into production ROS-based robotics services, ensuring low-latency inference and compatibility with deployed systems.
Path Robotics develops embodied intelligence AI systems that enable robots to adapt, learn, and perform real-world tasks, closing the skilled labor gap. The company is a team of intelligent, humble, and driven individuals working on hard problems to transform industrial automation.
Conduct research and develop algorithms for camera calibration, registration, and 3D reconstruction from imagery.
Contribute to open source software such as TeleSculptor, KWIVER, and Danesfield.
Publish findings, collaborate with researchers, and present results to customers and at top conferences.
Kitware is a research and development software company that advances science and shares results across healthcare, national security, and advanced computing. The company is 100% employee-owned and fosters a collaborative, flexible culture where employees take meaningful ownership of their work.
Build inference systems powering RL research, scaling toward 1–3T parameter models on NVL72 clusters.
Optimize rollout throughput, multi-node MoE inference, and weight-update overhead for long-horizon agents.
Collaborate with model researchers on architecture choices balancing model quality and execution cost.
Prime Intellect is building the open superintelligence stack, unifying compute, environments, and deployment for frontier-scale AI post-training. Backed by $150M in funding, the team is mission-driven and hard-working, focused on accelerating open AI research.
North America
Unlimited PTO
18w maternity
12w paternity
Lead ambitious research in computer vision, multimodal understanding, and visual generation.
Bridge cutting-edge research to practical product improvements.
Mentor scientists and set technical direction for high-impact AI.
Webflow is an agentic web marketing platform that helps marketing teams build, manage, and optimize high-performing web experiences. It is a fast-moving, growing company that values grit, craft, and quality, offering equity and comprehensive benefits.
Lead end-to-end deployment of autonomous systems in customer environments.
Gather and analyze field feedback to drive system reliability and performance improvements.
Partner with customer teams to train operators and translate technical concepts into actionable workflows.
Field AI develops autonomous systems for robots in unstructured environments. The company has a decade-long track record with a world-class team from organizations like DeepMind, NASA JPL, and Boston Dynamics.
Train models and evaluate AI systems to deliver world-class AI to the warfighter.
Run experiments in reinforcement learning, pretraining, multimodal training, and related areas.
Work as a self-starter in a fast-paced Series-A startup, interacting with customers and owning projects.
EdgeRunner AI builds secure, edge-deployed AI that helps American warfighters make faster decisions and interact with robotic platforms using natural language. It's a Series-A startup with a remote-first culture and a team of researchers and ML engineers.
Conduct research to develop new functionalities and improve existing technologies across fraud, voice/speech, video, authentication, and deepfake detection.
Design, implement, and evaluate deep learning algorithms and ML models tailored to complex datasets.
Partner with research and engineering teams to transition prototypes into production-ready systems and publish findings in top conferences.
Pindrop is a cybersecurity company delivering continuous identity verification across voice, video, and digital interactions. Backed by leading investors and protecting billions of interactions annually, we maintain a remote-first culture and focus on innovative security research.
Contribute to post-training and evaluation infrastructure for a novel multimodal AI system.
Fine-tune models using supervised and reinforcement learning approaches (e.g., SFT, RLAIF, RLVR).
Define custom metrics and develop tools to assess and mitigate AI-related risks in generative AI.
Sony AI is Sony's research organization using AI to unleash human creativity, working with gaming, entertainment, and music divisions. The Ethical Creative and Protective AI Lab operates as a globally distributed team across the U.S. and Canada, with some 900 million Sony devices in use worldwide.
Conduct research on reinforcement learning algorithms for multimodal models, including diffusion-based approaches and unified frameworks.
Design and build scalable RL infrastructure and reward modeling to support distributed training and improve stability.
Develop benchmarking protocols, curate multimodal datasets, and advance next-generation RL paradigms for real-world applications.
Tether is a fintech company pioneering digital finance solutions, including the stablecoin USDT, and developing energy, data, and education products. The company is a fast, lean global team of top talent working remotely across the world, with a culture focused on innovation and transparency.
Design and execute experiments in reasoning model training, post-training alignment, test-time scaling, and systematic model evaluation for crypto-native applications.
Review and synthesize recent academic literature from NeurIPS, ICML, ICLR, and ACL to inform ongoing research directions in reasoning, alignment, and agentic AI.
Implement model variants and evaluation protocols using PyTorch and the Hugging Face ecosystem, tracking experiments with Weights & Biases.
Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume and registered users. Trusted by 300+ million people in 100+ countries, the company has a flat, results-driven culture and focuses on increasing the freedom of money and financial access worldwide.
Learn, maintain, and improve our synthetic data pipeline and automated training system.
Take over a model and improve it with an agent loop that generates its own data.
Build closed loops where agents train detectors, test against validation sets, and improve with little human input.
CVEDIA builds computer vision models and applications that run on server and edge hardware using synthetic data. We are a small, fully remote team that uses AI agents across the company.
Develop RL algorithms for reasoning, coding, and long-horizon tasks.
Design and run scaling experiments to improve training recipes across model sizes.
Extend RL training frameworks for asynchronous workflows and reliability.
Prime Intellect builds the open superintelligence stack, offering a platform that unifies compute, training, and deployment for frontier AI teams. With $150M in funding and a mission-driven culture, they focus on open-source AI research and real infrastructure.
Build and extend pretraining code to scale experiments into full training runs.
Evaluate model architecture changes and optimize training throughput and resilience.
Run controlled ablations and collaborate with data and evaluation researchers.
Prime Intellect is building an open superintelligence stack, providing the infrastructure and platform for frontier AI training and deployment. The company has raised $150M from top investors and boasts a mission-driven team working to decentralize AI.
Design and build high-performance components using Modern C++ (C++17/20) in a ROS2-based architecture.
Integrate sensors and external interfaces into an embedded vision and sensor-fusion platform.
Contribute to architecture, code reviews, and mentoring to ensure scalable, reliable solutions.
They develop advanced embedded vision systems and intelligent traffic management solutions. The company brings together experienced developers, architects, and technical stakeholders in a collaborative and innovation-driven environment.
Distributed pretraining: Implement and optimize model-parallel training on heterogeneous GPUs under low-bandwidth, high-latency links.
Performance optimization: Apply techniques that reduce communication overhead while maintaining model convergence in challenging network environments.
Elasticity and fault tolerance: Build robust checkpointing and recovery so runs survive node churn as participants join and leave.
Pluralis Research is a decentralized AI research company developing Protocol Learning to train large models on consumer devices across the internet. The team is world-class and deeply technical, backed by tier-1 investors, with a remote-first culture.
Lead research and development of multimodal foundation models using sensor, video, and physiological signals.
Design self-supervised pretraining and sensor fusion approaches for heterogeneous time series and computer vision.
Validate model outputs against gold-standard references and publish research at top venues.
Tonal builds an intelligent strength training platform that uses multimodal sensor data to personalize fitness coaching. It is a growing remote-first team with a research-driven culture focused on machine learning, biomechanics, and product impact.
Build post-training and evaluation systems for multimodal agents operating browsers and desktops.
Turn real workflows into environments, rewards, and experiments that drive reliable agent improvement.
Work directly with customers and research partners while maintaining a substantive research agenda.
Prime Intellect is building the open superintelligence stack, providing infrastructure for post-training frontier AI models. The company has raised $150M in funding and fosters a culture of ownership and collaboration for ambitious AI teams.
Drive applied research into novel view synthesis and Gaussian splatting for efficient 3D streaming.
Quickly develop proof-of-concepts and transition experiments to production-ready code.
Own end-to-end customer outcomes by translating customer needs into innovative technology solutions.
Miris is a cutting-edge technology company building the future of 3D content delivery at global scale, leveraging patented innovations in neural rendering. We are a fully remote team of passionate individuals focused on pushing the bleeding edge of AI-assisted graphics and immersive experiences.
Set the technical direction for AI-enabled workflow automation across build, CI, test, and release.
Build the shared foundation including agent harness and tool integrations into GitLab, Jira, and observability data.
Develop evaluation methodology to measure automation effectiveness and define guardrails for AI autonomy.
d-Matrix pioneers a memory-centric architecture for AI inference, making AI faster and more energy efficient. The culture emphasizes respect, collaboration, and direct communication, with a focus on execution and tackling hard problems.