Juniper Square is looking for an AI Engineer Intern who is ready to help transform the private markets. In this role, you will work on a core strategic initiative, bringing AI innovation to a key product feature. You’ll have a hands-on role in designing, building, and testing new AI-driven product features.
What You'll Do
- Collaborate with engineers and product managers to design and prototype AI-powered features that directly impact a key product area at the core of our business.
- Contribute to the development, training, and evaluation of machine learning and natural language processing models using industry-standard tools and frameworks.
- Work with large and complex datasets—performing data preprocessing, feature engineering, and analysis to support model development.
- Apply foundational machine learning and deep learning techniques to solve real-world problems in the private markets space.
- Assist with integrating AI models into production systems, including testing, validation, and iteration in collaboration with the engineering team.
- Support ongoing research and experimentation efforts, particularly around NLP and large language models, to drive innovation in product development.
- Partner closely with engineering, design, and product stakeholders to evaluate technical feasibility and ensure alignment of proposed AI features with the overall product vision.
- Participate in regular team meetings, code reviews, and brainstorming sessions—bringing curiosity, ideas, and technical insight to the table.
- Receive mentorship from experienced AI and engineering leaders, while gaining exposure to company leadership and strategic initiatives.
- Contribute to documentation and knowledge sharing to help scale AI development efforts across the team.
- Take ownership of meaningful projects with the potential to influence long-term company strategy and product direction.
- Embrace a growth mindset—continuously learning new tools, methodologies, and concepts in the rapidly evolving field of AI.
What We're Looking For
- Currently pursuing a Master’s degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, or a related quantitative field.
- Strong academic foundation with relevant coursework in algorithms, data structures, linear algebra, calculus, probability, and statistics.
- Proficient in Python.
- Familiarity with data manipulation, preprocessing, and feature engineering techniques.
- Understanding of foundational ML algorithms and the underlying mathematical concepts.
- A strong grasp of Large Language Model mechanisms, including knowledge of sampling strategies, structured output generation, and function-calling capabilities.
- Basic knowledge of software engineering practices, including version control (Git), Agile development, and API integration.
- Strong analytical and problem-solving skills with a high attention to detail.
- Eagerness to learn and apply new AI concepts in a fast-paced, evolving environment.
- Clear and effective communication skills, both written and verbal.
- Collaborative mindset with the ability to contribute meaningfully to team discussions and technical problem-solving.
- Self-starter with curiosity, initiative, and a proactive approach to innovation.
Nice to Have
- Completed or currently enrolled in courses in machine learning, deep learning, NLP, or computer vision.
- Experience with Python libraries such as TensorFlow, PyTorch, scikit-learn, NumPy, and Pandas.
- Exposure to databases (SQL/NoSQL) and data querying; experience with data visualization tools is a bonus.
- Hands-on experience with prompt engineering is a strong plus.
- Exposure to cloud platforms and cloud-based ML services is beneficial.
- Personal AI/ML projects.
- Participation in AI/ML competitions or hackathons.
- Research experience or academic publications in AI-related areas.
- Contributions to open-source projects.
Technical Stack
- Python, TensorFlow, PyTorch, scikit-learn, NumPy, Pandas
- SQL/NoSQL, Git
- AWS, GCP, Amazon SageMaker, Google AI Platform
Team & Environment
Work alongside a talented and collaborative team focused on a top strategic initiative.
Benefits & Compensation
- Access to world-class mentorship.
- Exposure to company leadership.
- Opportunity to contribute meaningfully to a product reshaping private markets.
- Potential launchpad into a full-time role post-graduation.
Work Mode
This is a remote position open to candidates in the U.S. and Canada.
Juniper Square is a mission-driven and values-driven organization.
