AI/ML Engineering Intern (Immediate Start!)
Alpheva AI: Building World's Smartest Financial Advisor.
Vist: www.Alpheva.com
IMPORTANT: Before applying, please follow the instructions provided at the bottom
Location: Remote / Hybrid
Type: Internship (3–6 months)
Start Date: Immediate Start for the graduating class of 2026 or 2027
Compensation: Stipend / Internship Credit
Conversion: High-performing technical interns may be offered a full-time role upon completion
About Alpheva AI
Alpheva AI is building the world’s first agentic financial advisor — an intelligent platform that helps users plan, invest, and grow their wealth through AI-driven insights and autonomous financial actions.
Our mission is to make premium financial advice accessible, intelligent, and 10x cheaper than traditional models. Founded by a team of experienced entrepreneurs and engineers, Alpheva is at the intersection of AI, fintech, and behavioral finance, redefining how people manage money in the age of automation.
Role Overview
We’re seeking an AI/ML Engineering Intern to join our fast-growing team. In this role, you’ll work directly with the founding team to design, build, and deploy machine learning solutions that power our AI-driven financial platform.
This is a high-impact internship for someone who wants to learn how AI, data, and engineering come together in a startup — and potentially transition into a full-time role post-internship.
Key Responsibilities
Develop and prototype AI/ML models to support product features such as personalized financial insights, risk assessment, and recommendation systems.
Clean, process, and analyze large structured and unstructured datasets to extract useful patterns and train models.
Evaluate, fine-tune, and optimize models for performance, scalability, and interpretability.
Work with APIs, data pipelines, and cloud infrastructure (AWS, GCP, or Azure) to deploy models into production.
Collaborate with product and design teams to translate business problems into machine learning solutions.
Conduct research on new ML techniques, LLMs, and generative AI tools relevant to financial intelligence applications.
Document experiments, results, and technical processes to ensure reproducibility and knowledge sharing.
What We’re Looking For
Pursuing a Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
Solid understanding of Python and ML libraries such as pandas, scikit-learn, TensorFlow, or PyTorch.
Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
Experience or interest in LLMs, NLP, or generative AI is a strong plus.
Knowledge of SQL, REST APIs, or data pipeline tools preferred.
Strong analytical and problem-solving mindset, with attention to detail.
Curious, self-driven, and comfortable working in a fast-paced, early-stage startup environment.
What You’ll Gain
Hands-on experience building and deploying AI models in a real-world fintech product.
Exposure to modern MLOps workflows, data engineering, and applied generative AI.
Mentorship from experienced founders and AI practitioners.
A chance to make a visible impact and earn a full-time offer based on performance.
VERY IMPORTANT REQUIREMENT: 3 Step Process
- Please download the Alpheva App from www.Alpheva.com and share a brutally honest, detailed critique of the App (Maximum 10 pages with app screenshots in PDF format) via email. This will help us a) evaluate your analytical skills, product sense, and attention to detail—key qualities for this role b) improve Alpheva AI even further
- Please leave a 5 Star Rating & Strong Positive Review on Apple Appstore. We are relatively new in the market and your positive review will help us in building trust. (We will be grateful to you for doing that).
- Please email all 3 items below to Jobs@Alpheva.com :
- Your critique in PDF,
- Screenshot of your Appstore review
- Copy of your resume
We look forward to reviewing your submission.