Design, train, and refine large-scale 3D generative models from covering pre-training, post-training, and emerging paradigms in diffusion.
Bridge the gap between cutting-edge research and product, deploy models in real products used by millions of creators, using human feedback and creative evaluation.
Create novel model architectures to make 3D generation faster, higher-quality, and more controllable.
Design, develop, and maintain geometry processing and simulation algorithms for engineering applications.
Build services for reading, processing, and writing 2D/3D engineering data.
Develop rendering modules for generating 2D/3D visual assets.
They are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'. An AI Copilot for design and manufacturing with the goal to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process.
Build cutting edge Generative AI models, using techniques like Supervised Finetuning (SFT), Reinforcement Learning (RL), prompt improvements and synthetic data generation
Collaborate closely with product managers and engineers to transform user feedback into requirements for AI systems.
Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI.
Invent and prototype new model architectures that optimize inference speed, including on edge devices.
Build and maintain evaluation suites for multimodal performance across a range of public and internal tasks.
Collaborate with the data and infrastructure teams to build scalable pipelines for ingesting and preprocessing large audio datasets.
Liquid AI, spun out of MIT, aims to build efficient AI systems at every scale, creating Liquid Foundation Models that operate on-device and under real-time constraints.
Design, develop, and maintain geometry processing and simulation algorithms for engineering applications. Build services for reading, processing, and writing 2D/3D engineering data. Develop rendering modules for generating 2D/3D visual assets.
An MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'.
Architect, develop, and deploy multimodal generative AI systems.
Lead implementation of vision architectures and multimodal embedding frameworks.
Design and optimize systems integrating LLMs with visual and audio modalities.
Truelogic is a leading provider of nearshore staff augmentation services, delivering top-tier technology solutions to companies of all sizes. Their team of 600+ highly skilled tech professionals, based in Latin America, partners with U.S. companies on impactful projects, valuing expertise and aspirations.
Formulate and execute small, high-leverage research projects aligned with our product roadmap.
Independently build and validate end-to-end prototypes.
Design and run experimental pipelines autonomously, including setting up research environments and defining evaluation metrics.
ZetaChain is building the first universal blockchain and AI platform that connects everything—Bitcoin, Ethereum, Solana, and more—while pioneering in the GenAI space. They are backed by top investors, live on mainnet, and building the future of blockchain and AI technology.
Train, evaluate, and optimize machine learning models for high performance.
Contribute to R&D in object detection and multi-object tracking for remote sensing.
Design and deliver production-grade, maintainable code while managing multi-phase development.
Clarifai is a leading AI platform specializing in computer vision and generative AI. They empower organizations to transform unstructured data into actionable insights. Their globally distributed team operates across the United States, Canada, Estonia, Argentina, and India and is committed to building a diverse and inclusive team.
Design, implement, and maintain SFT and RL post-training pipelines for multi-step coding agents.
Train and adapt LLMs for agent workflows, including planning, tool use, and multi-step interactions inside JetBrains IDEs.
Build and develop evaluation and simulation environments where coding agents can act, be measured, and compared on realistic developer tasks.
At JetBrains, code is their passion and they strive to make the strongest, most effective developer tools on earth. Today, AI-powered assistance and agents are becoming a core part of how developers work in their IDEs.
Design responsive user interfaces, graphs, and visualizations.
Epoch AI is a research institute that investigates trends in machine learning and the economic consequences of AI. Their mission is to develop a comprehensive, publicly accessible knowledge base on AI that informs policymakers, industry leaders, and society at large.
Design and implement interfaces across the platform for compute orchestration and RL training.
Translate complex backend systems into intuitive, production-ready product experiences.
Build for technical audiences, including AI and general software engineers.
Prime Intellect makes frontier AI accessible to everyone and enables individuals/organizations to train models using their agentic training infrastructure.
Drive content strategy, create SEO-optimized articles about 3D AI.
Manage the editorial roadmap across all Meshy.ai websites.
Partner with Product and Marketing teams to translate product features into compelling narratives.
Meshy is the leading 3D generative AI company, transforming content creation by turning text and images into 3D models. They have a world-class team with talent spanning the globe, and are backed by venture capital firms like Sequoia and GGV, having raised $52 Million in funding.
Design and implement agentic architecture, defining context management, data flow, and action orchestration. Build AI variables capable of autonomous action loops to enrich leads and trigger actions. Deliver Copilot v1, initially semi-agentic, with potential for autonomous workflows, while implementing monitoring of all output.
lemlist is a global B2B SaaS business with $43M ARR, fully bootstrapped, profitable, and growing fast, shipping one of the most loved Sales Engagement Platforms worldwide.
Designing, developing, and deploying generative AI models.
Architecting and building agentic systems with autonomous decision-making capabilities.
Integrating generative AI and agentic solutions into existing products and services.
Jobgether is a partner company that focuses on connecting talent with the right job opportunities. Their AI-powered matching process ensures applications are reviewed quickly, objectively, and fairly against the role's core requirements.
Research, Document, Test, and Ideate: Explore the best ways to achieve our customers’ goals using LLMs and other AI tools.
Master Our Dialogue Platform: Become an expert, answer questions, and train others on prompting both within and outside of our platform.
Train Our AIs: Utilize prompting, knowledge-base creation, and fine-tuning to enhance our AI capabilities.
1mind is a platform that deploys multimodal Superhumans for revenue teams, combining a face, a voice, and a GTM brain. The company has a remote-first, fast-moving culture with ownership, autonomy, and impact from day one.
Design, optimize, and version prompts for production voice and chat LLM applications.
Architect and orchestrate multi-agent systems for complex conversations.
Build automated testing and validation frameworks for LLM outputs.
Tuotempo transforms healthcare experiences through intelligent digital solutions and is a trusted patient engagement platform powering some of Europe and Latin America's leading healthcare institutions. They have a remote-first culture with vibrant hubs in Bologna or Barcelona.
Research and develop advanced MLLMs, GenAI, and Computer Vision techniques for cloud, devices and sensors from multimodal data sources.
Design and implement efficient and scalable MLLM models for inference and analysis of visual data.
Axon is on a mission to Protect Life with their ecosystem of devices and cloud software. Life at Axon is fast-paced, challenging and meaningful with a focus on growth and making a difference.
Design, build, and scale enterprise-grade AI/ML systems that power internal workflows and external-facing AI/ML platforms.
Develop a production-ready Generative AI and MLOps platform with reusable components used to deploy multiple AI solutions across Natera’s business units.
Implement cloud-native infrastructure for large-scale model training and serving using Kubernetes, MLflow, Terraform, and AWS-native services
Natera is a global leader in cell-free DNA (cfDNA) testing. They are dedicated to oncology, women’s health, and organ health, aiming to make personalized genetic testing and diagnostics part of the standard of care. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions.
Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows.
Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control.
Improve reliability, performance, and safety across existing Python codebases.
Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.
As a Principal Decision Scientist, you will define high-level business objectives directly with clients, then develop and execute the project plan to meet those objectives. You will provide technical leadership to guide development work across teams while also owning and delivering specific technical components yourself. You will design and develop feature engineering pipelines, build ML & AI infrastructure, deploy models, and orchestrate advanced analytical insights.
Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences