Top Tech Jobs & Startup Jobs

Lead development of high-performance, accessible frontend web applications that visualize large geospatial and time-series energy datasets. Collaborate with UX and AI teams, own feature implementation, maintain component libraries, enforce testing and frontend standards, and translate product designs into scalable architectures.

Build and consolidate data infrastructure for ML training: design automated ETL/ELT pipelines, implement DataOps practices (validation, monitoring, anomaly detection), integrate annotation workflows, manage dataset versioning and storage, and collaborate with ML engineers and operations to produce high-quality, reproducible training datasets.

The role involves developing full-stack AI enterprise software, from design to deployment, mentoring teammates, and integrating AI into software environments.

Optimize and maintain high-performance C++ runtime pipelines for on-device ML on edge GPUs. Profile and reduce latency, refine host-to-device streaming and memory use, deploy and tune TensorRT/CUDA/ONNX runtimes, and collaborate with ML engineers to integrate multi-sensor inputs into low-latency inference loops.

Lead People infrastructure and analytics on GCP: own product strategy, data architecture, complex Google SQL queries, and build dashboards (Looker/Tableau). Write PRDs, design workflows, manage vendor security/compliance, integrate Generative AI, maintain systems and automations, triage technical backlog, and mentor one junior analyst.

Translate multi-modal AI research into 0-1 products: design and run ML experiments, build scalable training and evaluation infrastructure, implement MLOps and data pipelines, deploy models, and use AI code tooling to move experiments to production MVPs.

The Research Engineer will develop and deploy machine learning applications focused on severe weather, collaborating on system processes, and maintaining production environments.

This role involves leading innovation projects at X, developing breakthrough technologies from inception to product launch, and creating external partnerships.

Lead and organize early-stage geoscience AI initiatives: coordinate workstreams, manage partners, define metrics, run experiments, document progress, and act as the GM proxy to remove roadblocks and scale prototypes into products.

Design front-end experiences for next-generation AI models and agents at early product stage. Conceptualize interfaces beyond chat, build rapid prototypes and wireframes, collaborate with engineers and researchers, conduct user research and usability testing, and iterate designs based on data and technical constraints in a fast-moving environment.