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StarTree is seeking an SRE/Cloud Operations Engineer to maintain and scale their cloud-based analytics platform. The role involves monitoring services, troubleshooting production issues, and automating operational tasks using Kubernetes, Linux, and cloud infrastructure.
Build an AI-powered automated testing framework from scratch for a dubbing pipeline that converts video between languages, focusing on async microservices, non-deterministic AI outputs, and observability-driven quality gates.
Builds and maintains DevOps tooling (CI/CD, testing, telemetry) to accelerate AI model development and deployment, collaborating with data scientists and engineering teams to improve developer productivity and reliability.
The Senior AI Engineer will build and operate distributed agentic AI workflows and RAG systems for equity research products. The role involves hands-on development using Python, TypeScript, and AWS to integrate LLM capabilities into production financial analysis tools.
The Senior Product Manager will lead the development of AI-powered equity research tools for retail investors at StockStory, a division of Versant. The role involves defining product strategy, collaborating with engineering and data teams, and leveraging AI to create intuitive financial discovery and research experiences.
The Senior ML Engineer will design and operate production-grade AI and LLM systems for equity research, working within a hybrid team at CNBC to build scalable financial data products. The role involves end-to-end ownership of ML pipelines, model training, and inference infrastructure.
The Senior Quantitative Equity Research Analyst will lead the development of stock-selection models and AI-powered equity research products. The role involves translating fundamental investment hypotheses into systematic signals and ranking models using Python, machine learning, and rigorous back-testing methodologies.
The Equity Research Analyst will build AI-powered equity research tools by translating fundamental investment judgment into scalable LLM workflows and factor models. This role involves collaborating with engineering teams to automate stock discovery and analysis for retail investors.
Owns the product vision and roadmap for next-gen cloud compute, GPU, and AI/HPC platforms, driving strategy from concept to launch while collaborating with engineering and executive stakeholders.
Bridge between business stakeholders and technical teams, gathering requirements and translating them into user stories and specs to deliver AI-driven financial solutions.
Build native desktop screen-capture and analytics systems for QA, compliance, and workflow automation using OS-level APIs and low-level systems programming.
Build and maintain backend systems for Cresta’s AI-powered customer experience platform, focusing on agent-assist integrations, authentication, and enterprise-grade security for real-time communication.
Lead AI Engineer builds and oversees an AI-driven software delivery pipeline, using C#/.NET Core and AI coding agents to generate, test, and deploy production code while mentoring a small team.
The MLOps & DevOps Engineer will design and maintain infrastructure and automated pipelines for scalable AI platforms and RAG workflows. The role involves working with GCP, Terraform, GKE, and Vertex AI to manage model deployment, data ingestion, and system observability.
The MLOps & DevOps Engineer will design and maintain scalable cloud infrastructure and automated CI/CD pipelines on GCP to support AI platforms and RAG architectures. The role focuses on bridging data science and engineering by managing ML lifecycles, monitoring model performance, and ensuring system reliability.
Applied AI Engineer owning the eval system and self-improving loop for Magic Patterns' AI design agent, working on evals, context engineering, and post-training to push state-of-the-art design quality from their San Francisco office.
Designs and leads AI/ML solutions for an energy client using Microsoft AI Foundry, Azure AI, and Databricks, translating business needs into scalable, secure architectures and guiding implementation from data to deployment.
The Enterprise Data Strategist translates high-level data and AI strategy into actionable outcomes to modernize organizations and improve operational decision-making. The role requires a security clearance and expertise in aligning data, AI, and cloud infrastructure.
Builds backend services for NAVER Clip (short-form video) and SmartID (authentication) using Java/Kotlin/Spring, while researching AI-driven CAPTCHA and authentication technologies.
Builds AI-driven product features and internal automation for Baseten’s platform, focusing on agentic workflows, harnesses, and guardrails to enable customers to train and deploy frontier models. Works cross-functionally with research engineers to prototype, ship, and evaluate AI tools.
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