9ca997fb-218 Quantitative Developer We are building a world-class systematic data platform that will power the next generation of our systematic portfolio engines.

The systematic data group is looking for a Quantitative Developer to join our growing team. The team consists of content specialists, data scientists, engineers, and quant developers who are responsible for discovering, maintaining, and analysing sources of alpha for our portfolio managers.

The role builds on individual's knowledge and skills in four key areas of quantitative investing: data, statistics, technology, and financial markets.

Principal Responsibilities:

  • Use finance knowledge and statistical knowledge to analyse potential alpha sources and present findings to portfolio managers and quantitative analysts.
  • Build quant tools to help portfolio managers research, evaluate, combine alphas, and understand risks.
  • Design and maintain tools to evaluate and monitor data quality and integrity for a wide variety of data sources.
  • Engage with vendors, brokers, and perform analytics to understand characteristics of datasets.
  • Interact with portfolio managers and quantitative analysts to understand their use cases and recommend datasets to help maximise their profitability.

Skills Required:

  • 3+ years of work experience as a financial engineer, data scientist, or quant developer.
  • Strong knowledge of Python and/or C++, Java, C#.
  • Familiarity with data pipeline engineering, ETL for large datasets, and scheduling tools like Airflow.
  • Strong SQL and database experience including PL-SQL or T-SQL.
  • Understanding of typical software development lifecycle and familiarity with: Linux, GitHub, CI/CD.
  • Ph.D. or Masters in computer science, mathematics, statistics, or other field requiring quantitative analysis.

Beneficial Skills and Experience:

  • Understanding of risk models and performance attribution.
  • Experience with financial markets such as equities and futures.
  • Knowledge of statistical techniques and their usage.

The estimated base salary range for this position is $165,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.

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]]> full-time mid onsite $165,000 to $250,000 Python, C++, Java, C#, data pipeline engineering, ETL, Airflow, SQL, database, Linux, GitHub, CI/CD, Ph.D., Masters Engineering Finance Equity IT https://logos.yubhub.co/mlp.eightfold.ai.png Equity IT is a technology company that provides systematic data platforms for portfolio engines. https://mlp.eightfold.ai https://mlp.eightfold.ai/careers/job/755952876477?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply New York, New York, United States of America 2026-04-18 57a8aa85-77e Staff Machine Learning Research Engineer, Agent Post-training - Enterprise GenAI We are seeking a Staff Machine Learning Research Engineer to join our Enterprise ML Research Lab. As a key member of our team, you will build out our next-gen Agent RL training platform, integrating cutting-edge research into our training stack. You will train state-of-the-art models, design solutions for complex multi-agent systems, and collaborate with our team to deploy use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models.

The ideal candidate will have 5+ years of LLM training in a production environment, experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO, and publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years. A PhD or Masters in Computer Science or a related field is required.

In addition to a competitive salary, you will receive equity-based compensation, comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. This role may also be eligible for additional benefits such as a commuter stipend.

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]]> full-time staff onsite $189,600-$237,000 USD LLM training, Post-training methods, RLHF/RLVR, PPO/GRPO, NEURIPS, ICLR, ICML, Computer Science, PhD, Masters Engineering Technology Scale https://logos.yubhub.co/scale.com.png Scale is a leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. https://www.scale.com/ https://job-boards.greenhouse.io/scaleai/jobs/4625337005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply San Francisco, CA; New York, NY 2026-04-18