ML Engineer Jobs

Build scalable production systems and research tools for frontier model and LLM training at Cohere. This hands-on role bridges advanced AI research with reliable, high-performance engineering.

Join Exa as a Software Engineer Intern and build massive-scale search, crawling, vector database, and ML infrastructure. This full-time, in-person San Francisco internship offers flexible project opportunities for technically ambitious students.

Build and operate the secure, scalable infrastructure that powers PointClickCare’s generative AI products and delivers AI-generated insights into agent workflows. This principal-level role combines ML platform engineering, observability, security, and LLM inference infrastructure.

Build and scale Reddit’s machine learning infrastructure for recommendation and personalization at massive scale. You’ll own systems from model development through production deployment, improving distributed training, inference performance, evaluation, and reliability.

Lead the technical direction of Reddit’s embedding platform, building scalable machine learning infrastructure and real-time systems that power personalization and recommendations. This staff-level role combines deep learning architecture, distributed training, production inference, technical strategy, and mentorship.

Build predictive world models that simulate how driving and robotics scenes evolve, using generative modeling and large-scale multimodal deep learning. You will advance autonomous-driving and robotics policy training through world-model research, evaluation, and implementation.

Build and optimize large language model training and post-training systems at Lightning AI, improving model quality, efficiency, and production readiness. The role combines frontier model research, PyTorch engineering, distributed systems, and customer-informed platform development.

Build and deploy machine-learning systems that predict road-user behavior and support planning for autonomous vehicles. You’ll work across ML, perception, and planning to advance Applied Intuition’s physical-AI technology.