such as Bayesian inference, uncertainty quantification, information theory, causal inferencing, graph neural networks..., etc. Proficiency with open-source agentic frameworks (e.g., LangGraph, DSPy, mem0, etc.) and deep learning frameworks (e.g., PyTorch...
clients Modeling and operating PostgreSQL as a long-term source of truth Architecting real-time systems (feeds, messaging... Be Building You will help lay the foundation for a native Rust platform that includes: A large-scale social graph (users...
with graph neural networks (GNNs) or geometric deep learning for circuit and netlist analysis Background in reinforcement... such as NVIDIA, AMD, Intel, Google DeepMind, or similar AI/HPC-focused companies Published research or open-source contributions...
developments in deep learning and transformer architectures, graph approaches. On this team, team members apply the latest research... a broad stack of technologies - Python, AWS, Spark, modern state of the art models like transformers, graph ML...
and frameworks, and open-source resources to overcome your clients’ most difficult challenges. You’ll share your development... with design specifications Knowledge of source control such as GIT Ability to work within a collaborative, cross-functional...
scheduling, code generation, and compute graph optimization) - Strong software design fundamentals and excellent system-level... coding skills with an emphasis on graph theory and performance techniques Preferred Qualifications - PhD in computer...
/Knowledge architecture team to map source data to canonical entities, relationships, and attributes, enabling graph ingestion... Data Standard (IDS) and knowledge graph, enabling a unified, high-quality data ecosystem that supports analytics...
-based design (ProteinMPNN, RFdiffusion), and/or graph neural networks operating on 3D protein coordinates (e.g. GCN, raph... resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies...
smoothly transition into open-source releases, upstream framework integrations, internal tools, or closed-source commercial... models, generative AI architectures, or diffusion models. Background in deep learning compilers, both graph-level...
-to-end delivery Experience in the full software development life cycle, including coding standards, code reviews, source... is required. Knowledge of and experience building enterprise software with graph databases is highly desirable. Experience building network...