Research, design, and develop optimization models for contact center workforce planning, scheduling, and resource allocation.
Implement the schedule optimization engine using OR-Tools/CP-SAT and own constraint models end to end.
Build production-grade solver services and collaborate with stakeholders to validate operational usability.
Miratech is a global IT services and consulting company that brings enterprise and start-up innovation together. It retains nearly 1,000 full-time professionals across 25 countries and has a culture of 'Relentless Performance' with a 99% project success rate.
Design, prototype, and productionize optimization methods for large, non-linear, and mixed-integer grid planning problems.
Collaborate with planners, software developers, and product owners to turn methods into reliable tools inside the planning platform.
Validate optimized portfolios against full AC power flow results and quantify economic value, trade-offs, and sensitivity.
EPE partners with power and energy clients globally, delivering consulting and energy intelligence software for grid modeling challenges. For more than half a century, they have focused on building a modern, secure, and resilient grid, with an innovative culture and employee ownership.
Architect and implement automated systems that scale customer operations, trust and safety, and sales workflows.
Build integrations, internal tools, AI-powered support solutions, and real-time analytics dashboards.
Collaborate with product, engineering, and operations teams to optimize processes and enable rapid growth.
Peerspace is a leading online marketplace for venue rentals for meetings, productions, and events. With over $500M transacted and backing from GV and Foundation Capital, the company values inclusion, cross-functional work, and a healthy culture that empowers employees.
Design, develop, and maintain geometry processing and simulation algorithms for engineering applications.
Build services for reading, processing, and writing 2D/3D engineering data, plus rendering modules and large-scale datasets.
Implement and optimize post-training workflows for machine learning models and develop domain-specific languages.
Foundation EGI is an MIT-born, venture-backed Silicon Valley startup building an AI Copilot for design and manufacturing. We are a remote-first team with a collaborative culture, offering equity, comprehensive benefits, and professional development opportunities.
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.
Own applied RL programs from ambiguous customer problem to deployed improvement loop.
Understand workflows, build environments and evaluations, run post-training experiments, and deploy results.
Work directly with customer researchers, engineers, and leaders, accountable for research result and practical impact.
Prime Intellect builds the open superintelligence stack, providing a full-stack platform for frontier-scale post-training of AI models. The company has raised $150M from top investors and is seeking builders who want to work at the intersection of frontier research, real infrastructure, and go-to-market.
Building agents, environments, and post-training systems for real semiconductor design and verification workflows.
Designing rewards and evaluations that combine functional correctness with tool efficiency, robustness, and performance/power/area constraints.
Owning interactive environments where agents use EDA tools to modify designs, debug failures, and plan multi-step work.
Prime Intellect builds the open superintelligence stack, unifying compute, environments, evaluations, and deployment for frontier-scale AI post-training. The company has raised $150M in funding from top investors like Founders Fund and NVIDIA, fostering a culture of building at the intersection of research, infrastructure, and go-to-market.