AI Engineering Intern - Summer 2027
New York City, NYInternship$54/hrPosted todayStill listed today
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Job overview
Addepar is seeking an AI Engineering Intern for its Core AI team in New York City for Summer 2027. The intern will contribute to the AI platform, tooling, and reusable features used across product teams, and experiment with AI/ML techniques for fintech applications. The 12-week program runs June 7 through August 27, 2027, and requires in-person attendance in the New York office.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore.
The Program We are currently seeking an AI Engineering Intern to join Addepar's Core AI team in New York City for Summer 2027. Being a part of the AddeU Internship Program, you will be working on meaningful project(s) that you can feel proud of and present back to the company at the end of the experience. In addition to having a supporting manager and mentor, we have a fantastic onboarding program to get you acclimated and ready for your time with us. Fun events and super cool swag are also included! AI is transforming how investment professionals work, and Addepar's Core AI team is at the center of that transformation. The team builds the full AI platform, supports applied AI teams with reusable components, and drives AI innovation and research across the company. If you are passionate about applying cutting-edge AI techniques to real-world financial technology problems, we want to hear from you! As an AI Engineering Intern, you will work at the frontier of applied AI in fintech, contributing to the tools and platform that power intelligent features across Addepar's entire product suite. This role is based full-time in our New York office and requires in-person attendance for the duration of the internship. Dates are currently set for June - September 2027 but please advise your recruiter if you have any timing constraints. Relocation assistance is not offered. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment. Applications are reviewed on a rolling basis between November 2026 and March 2027. We encourage you to apply early, as we may close the posting once the program is filled. What You'll Do
- Build and extend components of Addepar's core AI platform and tooling
- Work on AI features and reusable components that are leveraged across multiple product teams
- Prototype and experiment with emerging AI/ML techniques for fintech applications
- Collaborate with the Core AI team on projects with clear, measurable impact
- Learn and demonstrate AI engineering standard processes and principles
- Participate in code reviews, model evaluations, and team ceremonies
- Document your work including model architecture, evaluation results, and design decisions
- Produce a retrospective and demonstrate your summer project to an internal audience
Who You Are
- Currently enrolled in a university or other post-secondary program
- Currently pursuing a Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field (penultimate or final year ideal, though all years are welcome to apply)
- Able to commit to the full 12-week program, June 7th, 2027 - August 27th, 2027
- Strong foundations in machine learning, natural language processing, or AI systems
- Experience with Python and ML frameworks such as PyTorch, TensorFlow, or similar
- Familiarity with LLMs, prompt engineering, RAG architectures, or AI application development
- Excellent written and verbal communication skills
- Ability to learn in a fast-paced environment and explore novel problem spaces
- Solid understanding of software engineering principles and experience working in a team
- Passion for applying AI to real-world problems in financial technology
Addepar takes a market-based approach to pay. A successful candidate's starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for this role within the United States. Compensation for this role includes base salary + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits.
Base Salary Range $54—$54 USD
Our Values
- Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.
- Build Together - Collaborate to unlock the best solutions. Deliver lasting value.
- Champion Our Clients - Exceed client expectations. Our clients’ success is our success.
- Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.
- Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.
In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to [email protected].
How this job compares
Set against the 1,350 open AI Engineering jobs on Olive Jobs, counted November 11, 2026.
- Pay
- This posting$54/hr
- US median$26–46/hr42 hourly ranges
This rate, $54/hr, is 50% above the US median midpoint ($36/hr) — in the top quarter of AI Engineering hourly ranges across the US.
- Openings
- Olive Jobs lists 107 open AI Engineering jobs in New York and 1,350 across the US. 9% of them nationwide are listed as remote or flexible.
- Experience
- AI Engineering postings that state a minimum ask for 7 years of experience at the median; the middle half ask for 5 to 10 years (1,217 postings).
- Education
- 480 of the 1,350 open AI Engineering jobs (36%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 11, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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