What are the responsibilities and job description for the Software Engineer - Learning Engineering and Data (LEaD) Program position at MPG Operations LLC?
Software Engineer - Learning Engineering and Data (LEaD) Program Millennium is a large global alternative investment manager with a strong commitment to leveraging innovations in technology and data. As a member of our Miami based Learning Engineering and Data (LEaD) program, LEaD engineers can expect to get comprehensive training and work alongside technology mentors and leaders to develop and maintain applications and tools spanning front-office, middle-office and back-office functions in a dynamic and fast paced environment. LEaD engineers can expect to have exposure to investment teams and technologists in different parts of Millennium’s organization while learning new skill sets through hands-on training and development opportunities. Main Function: Our technology teams are looking for Software Engineers with C , Python or Java to design, implement, and maintain systems supporting our technology business functions. Candidate is expected to: Work closely with technology teams to develop requirements and specifications for varying projects Take part in the development and enhancement of the backend distributed system Apply AI/ML ( deep learning, natural language processing, large language models ) to practical and comprehensive technology solutions Qualifications/Skills Required: 2-5 years of experience working with C , Python, or Java Experience with ML libraries, Pandas, NumPy, FastAPI (Python), Boost (C ), Spring Boot (Java) Must be comfortable working in both Unix/Linux and Windows environments Good understanding of various design patterns Strong analytical and mathematical skills along with an interest/ability to quickly learn additional languages and quantitative concepts Solid communication skills Able to work collaboratively in a fast-paced environment with a passion to solving complex problems Detail oriented, organized, demonstrating thoroughness and strong ownership of work Desirable Skills/Knowledge: Bachelor or Master’s degree in Computer Science, Engineering, Applied Mathematics, Statistics or Data Science/ML/AI Demonstrable passion for developing LLM-powered products whether that is through commercial experience or open source/academic projects you have worked on in your own time Hands on experience building ML and data pipeline architectures Understanding of distributed messaging systems Experience with Docker/Kubernetes, micro services architecture in a cloud environment (AWS, GCP preferred) Experience with relational and non-relational database platforms Who We Are Millennium Management is a global investment management firm founded in 1989 that manages approximately $53 billion in assets as of April 1, 2022. Millennium has more than 4,000 employees with offices in the United States, Europe and Asia. Over the last 30 years, our mission has remained constant: to deliver the alternative investment industry’s highest quality returns to our investors, and to maintain a commitment to our principles of integrity, discipline and excellence. What We Do We employ a global, multi-strategy investment approach, opportunistically engaging in a broad array of trading and investing strategies across a wide group of diversified managers. Our specialized divisions have built and continually evolve our core infrastructure platform. This enables our trading teams to pursue their unique investment strategies independently, while operating within one centrally-driven risk and operational framework. Millennium has differentiated itself from other alternative investment management firms through our consistent ability to generate high quality returns for our investors. Millennium’s unique framework has created what we believe to be a sustainable and scalable organization aligned in partnership with our investors. Our dedication to our mission has defined Millennium as an industry leader over our 30 year history. Careers Our firm harnesses the entrepreneurial drive of our people, and we strive to employ among the best in the industry. We offer an opportunity for developing one’s career while working with individuals trained in a variety of disciplines in a collegial and dynamic environment.
