Job Specifications
We are working on different areas where AI/ML can help portfolio managers, researchers, risk managers, and other functions. Some examples are: enabling traders/researchers to consume vast amounts of research and literature by organizing, summarizing information, sometimes in near real-time; doing quantitative modeling to price instruments, modeling demand and supply of commodities and other fundamentals; modeling weather, optimizing algorithmic execution of trades; modeling and building simulations of risk.
The AI/ML work spans usage of LLMs, deep learning, reinforcement learning and other ML techniques. The work also requires building AI/ML infrastructure for data wrangling, building feature stores, building frameworks for deployments, measurements, re-training, etc.
We are seeking a AI/ML SWE who has experience with LLMs, deep learning, reinforcement learning as well as an interest and ability to keep up with advancements in AI/ML. The candidate should also be strong in software engineering and be comfortable with AI/ML experimentation and productionization.
Key Responsibilities
Engage and collaborate with business stakeholders, quants, and other market researchers to deeply understand the problem space.
Experiment, iterate, productionize AI/ML solutions.
Build supporting data and AI/ML infrastructure and tools.
Required Skills And Qualifications
Strong knowledge of the latest advancements in AI and machine learning.
Strong fundamentals in computer science.
Proficiency in Python and at least 1 other language such as Java, C++, C#, etc.
Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud).
Experience with using LLMs and with techniques such as prompt engineering, PEFT, fine-tuning, etc.
Ability to build and evaluate AI models and tools using quantifiable metrics.
Excellent problem-solving skills and ability to work independently as well as part of a team.
Strong communication skills to effectively collaborate with developers and other stakeholders.
Adaptable and willing to work in a start-up-like environment within a major institution.
Preferred Qualifications
Advanced degree in Computer Science, AI, Machine Learning, or a related field.
Experience in developing AI solutions for financial institutions.
Knowledge of additional programming languages and frameworks.
About the Company
Millennium is a global, diversified alternative investment firm, founded in 1989, which manages $77 billion in assets. Defined by evolution, innovation and focus, Millennium's mission is to deliver high-quality returns for our investors.
Millennium seeks to empower talented professionals with the sophisticated expertise, resources and technology to pursue a diverse range of investment strategies across industry sectors, asset classes and geographies.
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