You will use the Bloomberg Terminal to complete and document realistic financial workflows, including market research and security analysis. Your work will provide high-quality data and feedback to support the development of advanced AI systems.
You will build and improve AI agent capabilities by developing backend services and experimenting with modern LLMs and orchestration frameworks. You will also collaborate with product teams to deploy scalable AI features and evaluate model performance in production environments.
You will create realistic coding tasks and implement deterministic verifiers to help train next-generation AI systems. Your work involves feature implementation, bug fixes, and providing high-quality input to shape how models learn and reason.
Assess and edit written content to ensure clarity, coherence, and accuracy while identifying AI-generated text elements. Collaborate with remote teams to provide editorial insights and contribute to the improvement of AI model training datasets.
Review datasets and task outputs for accuracy, completeness, and compliance with guidelines, applying evaluation rubrics consistently. Document and communicate findings, flag recurring issues for escalation, and provide actionable feedback.
Develop, implement, and refine features within open source codebases using various programming languages. Collaborate with remote contributors to resolve complex bugs, refactor legacy code, and maintain high-quality project documentation.
The Forward Deployed Engineer will partner with AI labs and enterprises to define research goals and implement ML pipelines for data curation and model evaluation. They will also build and maintain agentic systems and production-grade infrastructure to support multi-turn workflows.
You will create reinforcement learning environments to test AI models on complex software engineering tasks like debugging and optimization. Additionally, you will contribute expert-level code samples and validate peer-contributed submissions to improve AI training data quality.
Design, develop, and refine machine learning models using Python while managing data efficiently with MongoDB. Collaborate with cross-functional teams to evaluate model performance, tune hyperparameters, and document methodologies for repeatable workflows.
The role involves owning revenue and pipeline targets for strategic manufacturing accounts while acting as a trusted advisor to C-suite stakeholders. You will lead end-to-end sales cycles and orchestrate the development of AI solution blueprints to drive enterprise-wide AI adoption.
