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, implement, and deploy AI-powered features, including model training, fine-tuning, and prompt engineering workflows.
Translate product requirements into robust, production-ready AI solutions, working with Product Managers, Software Engineers, and Data Scientists.
Optimize models and infrastructure for scalability, latency, and cost efficiency, partnering with DevOps and MLOps to ensure reliable and maintainable AI pipelines.
Paper is reimagining how schools support students so that every learner can reach their full potential.
Design, build, and productionize ML models for fine-tuned, Retrieval-Augmented Generation (RAG), and generative AI features.
Build and maintain scalable data pipelines to collect high-quality training and evaluation datasets, including annotation systems and human-in-the-loop workflows.
Collaborate with product and engineering to iterate on datasets, evaluation metrics, and model architectures to improve quality and relevance.
Mural is pioneering how generative AI transforms visual collaboration and decision-making.
Design, develop, and deploy AI/ML solutions that support Magna’s legal and medical platforms.
Translate business needs into scalable machine learning models and automation workflows.
Work closely with data engineers, software engineers, and product managers to bring AI products from prototype to production.
Magna Legal Services provides end-to-end legal support services to law firms, corporations, and governmental agencies throughout the nation. As an end-to-end service provider, they can provide strategic advantages to their clients.
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.
Architect and implement scalable AI platform services for LLMs and other AI models.
Apply LLMs and AI technologies to build and enhance intelligent product features.
Develop robust APIs and backend systems for seamless integration of AI-powered features.
ClickUp is creating the first truly converged AI workspace, unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI.
Development and deployment of LLM-powered features, including summarization tools.
Build backend services in Python that integrate ML/LLM models with Fullscript’s platform.
Collaborate with medical and product teams to deliver AI features for practitioners and patients.
Fullscript is a health technology company committed to helping people get better by connecting practitioners to products and patients to care plans. They empower over 125,000 practitioners and 10 million patients through their comprehensive platform.
Architect, build, and deploy LLM-powered applications that augment and automate key workflows.
Design autonomous AI systems that can execute technical analysis, testing, troubleshooting, and decision-making at scale.
Develop AI-driven tools that create measurable business impact — improving efficiency, accelerating innovation, and driving revenue growth.
Sierra Studio connects talented Brazilian professionals with exciting career opportunities in a highly-vetted small community of growing companies in the US. They specialize in enabling merchants, consumers, and partners to operate with flexibility, intelligence, and trust with over 250 people.
Lead a cross-functional team of ML engineers, data scientists, and MLOps professionals.
Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment.
Provide technical direction on large-scale model training, fine-tuning, and distributed systems design.
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises.
Shape the future of AI-powered search across all OLX verticals. Lead the design and evolution of OLX’s Search AI Platform, developing LLM- and GenAI-based systems that power discovery and relevance. Mentor and inspire data scientists and ML engineers across OLX’s global hubs, sharing best practices and shaping the future of applied ML at scale.
At OLX, we work together to build a more sustainable world through trade.
Continuously improve the performance and scalability of ML models. Build and deploy models from inception to live in production pipelines. Advocate for code and process improvements across your team, and help to define best practices based on personal industry experience and research.
BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development.
Design and deploy complex ML systems to improve ad performance.
Collaborate with global teams to refine algorithms for ad targeting and relevance.
Apply cutting-edge ML approaches to enhance ad performance and optimize revenue.
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
Apply bleeding edge AI theory to the design and implementation of large-scale data systems that feed AI agents and autonomous workflows.
Use data science techniques to fine-tune, evaluate, and optimize LLMs for marketing-specific tasks.
Build end-to-end automations using LLMs, internal data, and external signals to eliminate repetitive human tasks.
Rockerbox is building the next generation of marketing intelligence. They are looking for someone to help them build the AI systems everyone else just theorizes about.
Lead AI and ML initiatives to design and implement production-grade machine learning systems and pipelines. Develop scalable infrastructure for model training, evaluation, and deployment, ensuring reliability and observability. Collaborate with cross-functional teams to drive innovation and efficiency.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
Own the end-to-end lifecycle of ML model deployment—from training artifacts to production inference services.
Design, build, and maintain scalable inference pipelines using modern orchestration frameworks (e.g., Kubeflow, Airflow, Ray, MLflow).
Implement and optimize model serving infrastructure for latency, throughput, and cost efficiency across GPU and CPU clusters.
MARA is building a modular platform that unifies IaaS, PaaS, and SaaS which will enable governments, enterprises, and AI innovators to deploy, scale, and govern workloads across data centers, edge environments, and sovereign clouds. They are redefining the future of sovereign, energy-aware AI infrastructure.