Top AI & Machine Learning Jobs

Build and productionize ML models and data infrastructure to analyze millions of chaos engineering experiments, detect and explain failures, recommend automated remediation, and integrate AI-driven failure analysis into Gremlin's product using techniques like causal inference, graph ML, time-series modeling, and reinforcement learning.

Design, develop, and deploy end-to-end data science pipelines and predictive models. Collaborate with product, engineering, and business teams to run experiments, implement MLops best practices (CI/CD, versioning, monitoring), and deliver scalable solutions (including LLM/RAG workflows) that improve restaurant operations and business outcomes.

Build and own end-to-end production modules for an AI-native fintech platform using LLMs. Ship weekly releases, create evaluation harnesses to verify model outputs, and maintain quality in live banking environments. Work on-agentic and conversational AI systems in a fast-paced, on-site San Francisco team.

Designs and develops moderately complex software systems, applies AI/ML methodologies, uses Spring/J2EE frameworks, makes independent technical decisions, manages multiple tasks, and coordinates with internal and external stakeholders while receiving guidance on new assignments.

Lead requirements gathering and design documentation, develop and maintain analytics code libraries and intelligent algorithms (descriptive, predictive, prescriptive), perform unit testing and code reviews, troubleshoot root causes, and create proof-of-concept solutions while providing project leadership within a small team.

Develop and implement computer vision algorithms using MATLAB, C++, and OpenCV. Apply image processing and digital signal processing knowledge as needed. Long-term Corp-to-Corp contractor role based in Chandler/Phoenix, AZ.

Develop and productionize deep learning models for computer vision and NLP on medical imaging products. Design and run experiments, document results, collaborate on data labeling, write deployment/docker code, optimize inference speed, and conduct DL methodology research.

Perform large-scale data analysis and modeling using Hadoop ecosystems and general-purpose languages (Java, Python, R). Apply statistical techniques and machine learning on big datasets, develop creative solutions, visualize patterns, and work independently within a research-oriented team. Strong communication and rapid conceptual learning are expected.

Founding technical role to design, build, and deploy internal AI tools and agents using LLMs and retrieval systems. Partner with investors and the data team to accelerate sourcing, diligence, portfolio insights, and define CRV's AI strategy through rapid prototyping and production-grade systems.

Integrate and analyze large, disparate datasets using statistical methods and machine learning to generate actionable business insights. Build and validate predictive models, analyze unstructured data, and present findings to stakeholders. Manage project budgets and timelines, and apply industry knowledge to deliver on-time, on-budget analytics solutions.