Build and improve ML systems and data pipelines infrastructure to support modeling engineers. Requires 2+ years experience, bachelor's in CS/math/sciences, strong coding in Python/Go/Java/C++, and production ML infra expertise.
The standard base salary range for this position is $175,000 - $270,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.
Build and scale video generation models at Mirage. Optimize large-scale multimodal models for training efficiency, low-latency inference, and production deployment using PyTorch, CUDA, and distributed systems. 2+ years industry experience required; on-site in NYC.
Develops and optimizes ML-driven 3D sensor simulations (cameras, lidar, radar) using GenAI and graphics techniques to generate realistic synthetic data for AV testing. Requires 2+ years experience with neural rendering (NeRFs, Gaussian Splatting), PyTorch/TensorFlow, Python/C++, and 3D math.
Develops and optimizes 3D sensor simulations using GenAI/ML and graphics techniques for realistic camera, lidar, and radar data in autonomous vehicles. Requires 2+ years in neural rendering like NeRFs/Gaussian Splatting, PyTorch/TensorFlow, Python/C++.
Convex is seeking a Software Engineer to build and architect their AI platform, focusing on creating seamless agentic development experiences. This role involves working across APIs, plugins, and AI framework integrations, identifying gaps, and prioritizing projects to enhance the platform.