Member of Technical Staff, Agent Infrastructure Engineer
Cohere- Full Time
- Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates should possess a strong background in software engineering, specifically with experience in Rust and Python. Familiarity with high-performance computing, distributed systems, and reinforcement learning is essential. Experience with GPU programming using Triton or CUDA, as well as a proven ability to conduct systematic empirical research, is preferred. A self-driven and business-minded approach, along with excellent written communication skills, is required.
As a Member of Technical Staff, you will build the foundational technology that powers Adaptive ML, focusing on high-performance software engineering and large-scale reinforcement learning research. You will contribute to the product roadmap by identifying promising trends and high-impact findings, while also reporting clearly on your work to a distributed collaborative team. Daily tasks include developing robust software, profiling and optimizing GPU inference kernels, executing experiments, building data pipelines, and designing hardware correctness tests.
Financial management platform for construction businesses
Adaptive.build offers a financial management platform designed for the construction industry, featuring automated bookkeeping, cash flow management, vendor compliance, and real-time budgeting integrated with Quickbooks. It helps builders and remodelers manage job costs, maximize profits, and gain project visibility by simplifying tasks like bill payments and budget tracking. Unlike competitors, Adaptive.build focuses specifically on the unique financial challenges of construction projects, providing a comprehensive solution that saves time and improves accuracy. The company's goal is to enhance financial performance for its users through efficient management tools, operating on a subscription model.