AI Engineer (Intern)

📋 Description

• • Juniper Square is on a mission to democratize private markets, making assets like commercial real estate, private equity, and venture capital more accessible through technology. We are digitizing these markets to bring efficiency, transparency, and broader access to a significant part of our financial ecosystem. If you are driven by the idea of improving the world by enhancing market functionality via technology, and you thrive in a values-driven organization, we encourage you to apply.
• • We embrace a flexible work environment, offering a spectrum from fully remote to in-office experiences. Our operations are digitally-first, enabling effective collaboration across numerous U.S. states, Canadian provinces, and international locations including India, Luxembourg, and England. For those who prefer an office setting, we have physical locations in San Francisco, New York City, Mumbai, and Bangalore.
• • As an AI Engineer Intern, you will play a pivotal role in transforming the private markets landscape. This internship focuses on a critical strategic initiative: integrating cutting-edge AI innovation into a key product feature designed to create substantial industry impact.
• • You will be deeply involved in the hands-on design, development, and testing of new AI-driven product features. This is not a peripheral task; it is a central company priority with significant executive visibility and the potential for high impact.
• • You will work in close collaboration with a talented and supportive team, including experienced engineers, product leaders, and dedicated mentors who are invested in your professional growth and success.
• • This internship offers invaluable exposure to company leadership, access to world-class mentorship, and the opportunity to make a meaningful contribution to a product that is fundamentally reshaping the private markets.
• • For the right candidate, this internship serves as a potential launchpad for a full-time career opportunity upon graduation.
• • This role is ideal for individuals with a robust engineering foundation who are currently pursuing a Master's degree in Artificial Intelligence or a closely related field, and who possess a strong desire to innovate, learn rapidly, and achieve tangible real-world impact.
• • This is a remote internship opportunity, based in the U.S. or Canada, running for 11 weeks at 40 hours per week, with a scheduled start date of Monday, June 8th.
• • There is a possibility of travel to our San Francisco office during the final week to participate in our annual Hackathon event.
• • **Key Responsibilities and Contributions:**
• • Collaborate closely with engineers and product managers to conceptualize, design, and prototype innovative AI-powered features that will directly enhance a core product area of our business.
• • Actively contribute to the development lifecycle of machine learning and natural language processing (NLP) models, including their training, evaluation, and refinement, utilizing industry-standard tools and frameworks.
• • Engage with large and complex datasets, performing essential data preprocessing, feature engineering, and in-depth analysis to support and optimize model development.
• • Apply fundamental machine learning and deep learning techniques to address and solve complex, real-world challenges within the private markets sector.
• • Assist in the seamless integration of developed AI models into production systems, encompassing rigorous testing, validation, and iterative improvements in close partnership with the broader engineering team.
• • Support ongoing research and experimentation initiatives, with a particular focus on advancements in NLP and Large Language Models (LLMs), to foster continuous innovation in our product offerings.
• • Partner effectively with stakeholders across engineering, design, and product management to assess the technical feasibility of proposed AI features and ensure their strategic alignment with the overarching product vision.
• • Actively participate in regular team meetings, code reviews, and brainstorming sessions, bringing a curious mindset, innovative ideas, and valuable technical insights to the team's collective efforts.
• • Benefit from dedicated mentorship provided by experienced AI and engineering leaders, while simultaneously gaining exposure to company leadership and strategic business initiatives.
• • Contribute to the creation of comprehensive documentation and knowledge-sharing resources to facilitate the scaling of AI development efforts across the organization.
• • Take full ownership of meaningful projects, with the potential to significantly influence the company's long-term strategy and product roadmap.
• • Cultivate and embrace a growth mindset, committing to the continuous learning of new tools, methodologies, and emerging concepts within the rapidly evolving field of Artificial Intelligence.