Build and operate cloud infrastructure covering security, observability and CI/CD.
Develop a large backend codebase tackling performance, concurrency and distributed systems.
Apply the latest AI technology to complex business problems and turn it into reliable production software.
BLP provides an agentic platform that helps finance and operations teams automate core business processes. With over 550 enterprise customers and majority employee-owned, it is a fast-growing SaaS scale-up with a culture of deep expertise and strong product-market fit.
Design agent architectures for planning, reasoning, tool use, and memory integration.
Improve reliability on long-running tasks with failure recovery and evaluation systems.
Build loops for agents to improve with real use, balancing quality, latency, and cost.
Adaption builds AI systems that evolve in real-time, making them flexible and personalized. They are a global-first team focused on talent density and collaboration.
Lead the team in roadmapping and executing machine learning features and products.
Improve team pace through technical expertise and pragmatic tradeoffs.
Drive recruiting, reliability, and growth of team members.
Hightouch helps companies sync data into their SaaS systems to automate and improve operations. They are a remote-first company with hundreds of customers and a culture focused on engineering excellence.
Build reinforcement learning and agent environments for real customer and Frontier lab use cases, including task specifications, scoring, and evaluation.
Develop benchmarks and evaluation harnesses to measure model and data quality across accuracy, robustness, safety, latency, and cost.
Run fine-tuning, adapter, and other model experiments to evaluate how data and methods influence model behavior, and deploy local or self-hosted models for evaluation and inference.
Appen has been a leader in AI training data for over 30 years, specializing in human-generated data to train, fine-tune, and evaluate models across generative AI, LLMs, computer vision, and speech recognition. They support model development through an AI-assisted data annotation platform and a global crowd of over 1 million contributors in more than 200 countries, fostering a culture of innovation, collaboration, and humility over ego.
Architect and implement state-of-the-art GenAI pipelines for ad creative generation, including brand asset preservation and image/video editing.
Fine-tune large vision-language models and build feedback loops using ad performance metrics (CTR, CVR) via RLHF/RLPF.
Partner with Product, Sales, Policy, and Ads ML teams to integrate creative capabilities into Ad Manager and ensure brand safety.
Reddit is a community of communities built on shared interests, passion, and trust. With 100,000+ active communities and approximately 130 million daily active unique visitors, it is one of the internet's largest sources of information.
Prototype and evaluate AI applications for data and marketing workflows.
Develop production data agents and backend services with Node.js and TypeScript.
Design AI-assisted experiences and choose AI architectures for real user workflows.
The company builds AI capabilities for B2B marketing and data workflows, helping users turn customer data into useful insights and actions. It operates like a small, high-velocity startup team focused on shipping production-ready AI products.
Drive development and implementation of advanced machine-learning algorithms for business-critical applications.
Build scalable forecasting models, including deep-learning-based approaches, to predict company top-line metrics.
Lead the end-to-end ML lifecycle from problem definition through deployment and iteration.
Atlassian builds software products that help teams all over the planet collaborate and work together. With a distributed-first culture, Atlassians have flexibility in where they work, and the company is motivated by unleashing the potential of every team.
Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
Drive the AI/LLM integration strategy: designing connectors and patterns for RAG architectures, ML feature pipelines, and LLM-powered data applications
Engage with the open-source community, collaborate with Product and Cloud, and advocate for users to shape the roadmap
ClickHouse is the company behind the open-source columnar database of the same name, enabling real-time analytics on massive datasets through high-performance connectors and integrations. It is a rapidly scaling, globally distributed startup operating in over 25 countries with a remote-friendly culture.
Design and implement state-of-the-art ML models and training pipelines for robotics.
Develop efficient data/training strategies and evaluation frameworks for rapid experimentation.
Collaborate with engineering to optimize training infrastructure and deployment.
We're revolutionizing real-world automation by making robotic systems accessible to everyone. Our AI-powered platform brings software automation to physical spaces, and we're a small startup team working across the stack to solve customer problems.
Design, build, and ship ML and LLM systems for agentic AI workflows that shape clinician and patient interactions.
Own problems end-to-end, from scoping with clinicians to building datasets, evaluations, and production monitoring.
Set technical direction, mentor other engineers, and stay close to the AI ecosystem to improve patient outcomes.
Curai Health is a virtual clinic that harnesses artificial intelligence and clinical expertise to deliver high-quality, accessible healthcare. They are a small, senior, mission-driven team committed to clinical integrity and patient-centered care.