Design and build simulation scenarios representing nominal, edge-case, and adversarial conditions.
Translate autonomy requirements and real-world incidents into reproducible tests with clear, measurable outcomes.
Script environments, actors, triggers, and behaviors in Isaac Sim or Unreal Engine.
Serve Robotics is actively changing how items are moved via sidewalk robots which provide deliveries without street congestion. They are a team of tech industry veterans in software, hardware, and design are pooling their skills to build the future; their team is agile, diverse, and driven.
Design and implement production-grade auto-labeling pipelines that generate 3D and 4D annotations from multi-modal robot data at scale.
Develop data-centric learning workflows that connect auto-label outputs, Serve’s dataset infrastructure, and continuous E2E model training and evaluation pipelines.
Lead initiatives in self-training, weak supervision, and simulation-to-real adaptation to reduce manual labeling dependency and accelerate model iteration cycles.
Serve Robotics is reimagining how things move in cities with their sidewalk robot designed to take deliveries away from congested streets and benefit local businesses.
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.
Lead domain-specific model optimization using PEFT (LoRA/QLoRA) and knowledge distillation to balance cost, latency, and reasoning capability.
Build next-gen Retrieval-Augmented Generation pipelines using hybrid search, cross-encoders, and self-correcting retrieval loops.
Design and deploy multi-agent systems using frameworks like LangGraph or CrewAI, enabling autonomous task planning and tool-use (Function Calling).
ServiceNow is a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Their intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.
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.
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.
Implement tasks and features efficiently, seeking support from senior programmers when needed. Collaborate across disciplines on NPC behaviors and iterate with the design team. Test, debug, profile, and optimize implementations, and maintain the Unreal Engine AI framework.
People Can Fly is one of the leading independent AAA games development studios with an international team of hundreds of talented individuals.
Design, build, and optimize high-performance systems in C++ 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 C++ 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.
Design, develop, and optimize ML models for localization, including learned pose estimation, map-matching, and sensor fusion using camera, LiDAR, and radar data. Collaborate with robotics and mapping teams to integrate localization models into real-time autonomy stacks with strict performance requirements. Contribute to system design, documentation, best practices, and code reviews across ML and autonomy teams.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities.
Design, build, and optimize high-performance systems in C++ 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 C++ 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.
Develop and implement machine learning models to enhance Uber Freight's logistics capabilities.
Collaborate with cross-functional teams to integrate AI solutions into existing systems.
Contribute to the design and architecture of scalable and robust AI platforms.
Uber Freight is a market-leading enterprise technology company powering intelligent logistics with a suite of end-to-end logistics applications and an expansive carrier network.
Design, develop, and maintain a robust platform to enable users to create and manage AI agents.
Integrate and work with multiple LLMs, ensuring seamless orchestration and scalability.
Develop and implement evaluation frameworks for testing AI agents in challenging and complex scenarios.
ClickUp is building the first truly converged AI workspace, unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI.