Drive technical and product development for an AI-powered B2B venture from problem validation to MVP.
Design data strategy, including collection, labeling, evaluation, and continuous improvement.
Architect and deliver a reliable prototype or MVP, incorporating APIs, data pipelines, and safeguards.
The company is an early-stage B2B venture focused on leveraging AI and data to solve real business problems. It operates within a structured 12-week startup sprint supported by a global network of over 500 mentors and a community of more than 440 startups across 40 countries.
Own end-to-end performance optimization for production ML workloads, from bottleneck identification to rollout.
Diagnose ML performance bottlenecks across model execution, frameworks, runtimes, memory, and CPU/GPU utilization.
Design and implement improvements in inference execution, runtime behavior, batching, memory management, and precision.
Reddit is a community of communities, hosting open and authentic conversations across the internet. With over 100,000 active communities and approximately 130 million daily active users, it is one of the web's largest sources of information.
Design, build, and deploy production-ready AI and LLM-powered applications for nonprofit organizations.
Develop evaluation methods, contribute to open-source tools, and collaborate with field teams.
Take technical ownership across the ML lifecycle and translate research into scalable products.
A mission-driven engineering team developing practical AI systems for healthcare, agriculture, education, and international development. The company values autonomy, collaboration, and technical excellence, working as a small, interdisciplinary team.
Architect reliable execution of thousands of models on cloud and deploy into client environments.
Build reusable pipelines from raw client files to validated outputs with AI-assisted workflows.
Set standards for testing, validation, and reliable deployment while reviewing code and designs.
Theta is a predictive customer value analytics firm that helps companies and private equity investors understand customer worth to drive growth and investment decisions. It is a small, experienced team delivering client engagements with proprietary CLV modeling.
Own the multi-year technical strategy for Data Labs, mapping AI training trends into a roadmap for benchmarking and data pipelines.
Lead engineering managers, FDEs, and Staff+ ICs, building a rigorous, client-focused engineering culture.
Partner with research, product, and commercial teams to shape offerings and advise clients.
Invisible Technologies makes AI work through an end-to-end platform that structures data, automates workflows, and integrates human expertise. Profitable for half a decade, we hit $134M revenue and ranked #2 fastest growing AI company on the 2024 Inc. 5000.
Own the path from emerging research artifact to excellent open-source and product experience.
Build core open-source systems and shape researcher-facing features in our training platform.
Work with external researchers and contributors to turn fast-moving abstractions into stable public interfaces.
Prime Intellect is building the open superintelligence stack, providing infrastructure and a full-stack platform for post-training frontier AI models. The company has raised $150M in funding from prominent investors and aims to make open-source AI research fully reproducible and accessible.
Design, build, and productionize machine learning and agentic AI functionality.
Partner with product engineering squads to embed AI capabilities into Arkestro's product.
Contribute to AI/ML architecture decisions and own evals and ground truth for your projects.
Arkestro's Predictive Procurement Platform applies AI, game theory, and behavioral science to enterprise negotiations, helping teams move from reactive supplier bidding to data-driven offers. It is a hyper-growth, remote-first startup with a collaborative culture focused on meaningful work and significant impact.
Prototype AI applications quickly to explore new opportunities in data and marketing workflows.
Work with a small team to develop and ship product ideas, laying the groundwork for new capabilities.
Build production data agents that use company data to answer analytics and data science questions.
The company is a Series D marketing technology firm building AI-powered tools for data and marketing workflows. It operates with a high-velocity product culture, typical of growth-stage startups, and values quick prototyping and production-grade engineering.
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.