Top AI & Machine Learning Jobs

Develop and maintain linear and nonlinear credit risk models for consumer lending. Responsibilities include feature engineering, dataset creation, exploratory and ad hoc analysis, production deployment, monitoring, validation, and translating business needs into data science problems. The role provides actionable recommendations, influences team strategy, collaborates cross-functionally, and independently drives projects from concept through completion.

Design and build AI-enabled applications centered on knowledge graphs, ontologies, graph and vector databases, RAG, and agentic pipelines. Develop scalable backend systems, APIs, data pipelines, integrations, and interactive full-stack web applications. Make architectural decisions, integrate intelligent search and retrieval features, evaluate emerging technologies, and ship production code. Collaborate with product, design, domain experts, and leadership while contributing to engineering standards, quality, security, testing, and maintainability.

Lead the architecture and delivery of enterprise Generative AI solutions using LLMs, RAG, AI agents, cloud-native platforms, and enterprise integrations. Define AI strategies, reference architectures, governance, security, observability, and implementation roadmaps. Guide architecture reviews, mentor engineering teams, evaluate emerging technologies, and drive production delivery across regulated and enterprise environments.

Research and build autonomous multi-agent AI systems that discover, evaluate, and execute investment strategies. The role involves designing agentic tool-use and self-critique harnesses, conducting experiments, developing evaluation frameworks, creating knowledge bases, and collaborating with quantitative researchers. Candidates need strong empirical judgment, research ability, technical depth, and the initiative to turn ambiguous ideas into shipped systems and product improvements.

Develop hardware-aware post-training quantization and model adaptation methods for LLMs, diffusion models, and other machine learning applications targeting optical inference hardware. The role involves numerical and constrained optimization, controlled experiments, research-quality implementations, model deployment across PyTorch, Triton, and JAX, GEMM optimization, and collaboration with hardware and software teams to co-optimize AI architectures. The engineer will also publish research while protecting company intellectual property.

Build and operate AI-powered automations for HVAC businesses. Map undocumented workflows, design improved AI-enabled processes, create specifications, configure workflows, monitor production runs, troubleshoot failures, add error handling and fallbacks, and identify reusable patterns across customer accounts. Lead discovery and implementation discussions with business owners and office managers while feeding field insights into the product roadmap.

Own the technical direction, architecture, and delivery of an LLM-powered chatbot. Lead agent workflows, tool integrations, memory strategies, prompt engineering, evaluation, reliability, scalability, and cost optimization. Mentor engineers, coordinate complex initiatives, collaborate with product stakeholders, and translate ambiguous business needs into effective AI solutions while exploring emerging AI techniques.

The Staff AI Engineer will design and implement production agents for construction plan reviews, focusing on efficient data handling and improved permit processing. Responsibilities include operationalizing workflows, evaluating systems, collaborating on UX, and ensuring reliability and quality in AI products.

Develop AI-enabled tax solutions by enhancing the TRAM system, improving data pipelines, and collaborating with tax experts for model refinement.

The Senior Machine Learning Researcher will design experiments, research new algorithms, and collaborate on deploying models for computer vision and robotics applications.