Senior Machine Learning Engineer

# Senior Machine Learning Engineer Design, build, evaluate, deploy, and operate production machine-learning systems for financial research and market intelligence. Remote within the United States, with periodic business travel.

United States Full-timeUSD $125,000-$155,000/year## About Finstock, Inc.

Finstock, Inc. builds AI-powered financial research, trading analytics, quantitative research, market intelligence, and research-support infrastructure for analysts, research teams, experienced market users, and institutions.

Our products combine financial and market data, machine learning, quantitative analytics, AI-assisted research workflows, retrieval systems, and secure user-scoped infrastructure to help professional users organize and analyze complex financial information.## About the Role Finstock is seeking a Senior Machine Learning Engineer to design, build, evaluate, deploy, and operate production machine-learning systems across our financial research and market intelligence platform.

This role sits at the intersection of machine learning, software engineering, financial data, AI infrastructure, and production reliability. You will work on systems that support research intelligence, financial-document understanding, retrieval and ranking, market-data analysis, model evaluation, anomaly detection, classification, forecasting, and AI-assisted workflows.

You will be expected to take machine-learning systems beyond experimentation. This includes building reliable training and inference pipelines, designing evaluation frameworks, improving model performance and efficiency, implementing monitoring and observability, and integrating models into scalable production applications.

You will collaborate closely with AI Engineers, Data Engineers, Software Engineers, Quantitative Researchers, Product teams, and financial research teams to translate complex research problems into measurable and maintainable machine-learning systems.

This is a remote full-time role based in the United States. Periodic business travel is required based on project, team, client, conference, planning, or company-offsite needs.##

Key Responsibilities
* Design, develop, train, evaluate, deploy, and maintain production-grade machine-learning systems.
* Build reliable ML pipelines spanning data preparation, feature engineering, training, validation, inference, monitoring, and retraining.
* Develop models for classification, ranking, retrieval, anomaly detection, forecasting, financial-document intelligence, and other research-oriented use cases.
* Build machine-learning services and APIs that can be integrated into Finstock's research, analytics, and market-intelligence products.
* Develop scalable batch and online inference workflows with appropriate latency, reliability, and cost controls.
* Design rigorous model-evaluation frameworks using statistically appropriate offline and production metrics.
* Establish benchmarks, evaluation datasets, regression tests, and acceptance criteria for model changes.
* Improve model quality, generalization, robustness, inference speed, computational efficiency, and production stability.
* Develop feature pipelines using financial market data, company fundamentals, filings, macroeconomic indicators, research metadata, text data, and other approved datasets.
* Work with embeddings, retrieval, ranking, search, and representation-learning systems where appropriate.
* Build and improve systems supporting AI-assisted financial research, including retrieval, reranking, classification, evaluation, and model-quality workflows.
* Detect and mitigate model risks including overfitting, data leakage, look-ahead bias, survivorship bias, dataset shift, model drift, and weak evaluation methodology.
* Implement…