This is a hands-on internship focused on advancing AI integration within a core product feature. The intern will develop, test, and refine machine learning and natural language processing models that address real challenges in the private markets industry. The 11-week program is fully remote for candidates in the U.S. or Canada and includes structured mentorship, collaboration with engineering and product teams, and opportunities to influence long-term product strategy.
Responsibilities
- Design and prototype AI-powered features in collaboration with engineers and product managers to enhance a key product area
- Develop, train, and evaluate machine learning and NLP models using standard tools and frameworks
- Process and analyze large, complex datasets through data cleaning, preprocessing, and feature engineering
- Apply machine learning and deep learning methods to solve practical problems in private markets
- Help integrate AI models into production systems through testing, validation, and iterative improvements
- Conduct research and experimentation, particularly in NLP and large language models, to support product innovation
- Work closely with engineering, design, and product teams to assess technical feasibility and align AI features with product goals
- Engage in team meetings, code reviews, and brainstorming sessions with a focus on technical contribution and learning
- Document work and share knowledge to support team-wide AI development efforts
- Take ownership of projects that have potential strategic impact on product direction
Requirements
- Currently pursuing a Master’s degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, or a related quantitative field such as Mathematics, Statistics, or Physics
- Strong academic background in algorithms, data structures, linear algebra, calculus, probability, and statistics
- Proficient in Python programming
- Skilled in data manipulation, preprocessing, and feature engineering
- Familiar with core machine learning algorithms such as regression, decision trees, and clustering, including their mathematical foundations
- Knowledge of software engineering practices including Git, Agile methodologies, and API integration via REST or GraphQL
- Strong analytical and problem-solving abilities with attention to detail
- Effective written and verbal communication skills
- Proactive mindset with initiative and curiosity for exploring new AI technologies
Nice to Have
- Coursework or experience in machine learning, deep learning, NLP, or computer vision
- Hands-on experience with TensorFlow, PyTorch, scikit-learn, NumPy, or Pandas
- Familiarity with SQL or NoSQL databases and data querying
- Experience using data visualization platforms such as Looker, Tableau, or Power BI
- Exposure to cloud platforms like AWS or GCP and cloud-based ML services such as Amazon SageMaker or Google AI Platform
- Understanding of Large Language Model mechanics, including sampling, structured output generation, and function calling
- Practical experience with prompt engineering
Tech Stack
Python, TensorFlow, PyTorch, scikit-learn, NumPy, Pandas, SQL, NoSQL, Looker, Tableau, Power BI, AWS, GCP, Amazon SageMaker, Google AI Platform, Git, REST, GraphQL
Benefits
- Fully remote work option within the U.S. or Canada
- Mentorship from experienced AI and engineering professionals
- Exposure to leadership and strategic company initiatives
- Opportunity to make meaningful contributions to a product transforming private markets
- Potential for full-time employment after graduation
- Participation in the annual company-wide Hackathon
- Digital-first hybrid workplace enabling collaboration across multiple regions
Compensation
Hourly rate: $50.00 USD (U.S.) or $57.00 CAD (Canada)
Work Arrangement
hybrid — U.S., Canada, India, Luxembourg, England, San Francisco, New York City, Mumbai, Bangalore — Fully remote option available; employees may choose to work full-time remotely or in one of the physical offices. Digital-first operations support collaboration across 27 U.S. states and 2 Canadian provinces.
Team
Collaborative team working alongside engineers, product leaders, and mentors; part of a larger engineering and product organization focused on AI innovation. Reports to Engineering and AI leaders with mentorship from experienced staff.
- Organization guided by core values
- Mission to improve market efficiency through technology
- Commitment to transparency and accessibility in private markets
- Investment in digital-first operations
- Collaborative and innovation-driven environment
Additional Information
- This is a remote position open to candidates in the U.S. or Canada
- The internship lasts 11 weeks with a full-time commitment of 40 hours per week
- Program start date is Monday, June 8th
- Opportunity to visit the San Francisco office
