Location: Remote (US-only) but preference is San Francisco / Bay Area
Commitment: Full-time
Compensation: Competitive + Performance bonus
Team: Research
Focus Areas: Personalization, Intent Understanding, Large-Scale ML Systems
Duration: 4 months (Starts ASAP) - potential to extend
Immigration: Not eligible for visa sponsorship
Portfolio: Please include your GitHub profile in your CV (This is a MUST)
About Us
We are an innovative, stealth-mode startup redefining the future of shopping through AI and machine learning. Backed by pre-seed funding from industry leaders and institutional investor, we are building a platform at the intersection of intent-driven discovery, personalization, and conversational commerce. Our mission is to create a fundamentally better shopping experience powered by deep personalization and natural interaction.
Preview of what we're building:
What You'll Work On
You'll be embedded within our Research Team, contributing directly to:
- Recommendation & ranking systems (retrieval + re-ranking)
- Customer-product graph modeling
- Metadata enrichment and embedding quality testing
- Personalization pipelines (session context, bias overrides)
- Evaluation frameworks for semantic precision in search & recs
You'll work alongside our Research and Engineering Team, Design Team and CEO and see your work ship directly into the core user experience.
What We're Looking For
- Strong CS/Math/EE undergrad background (rising juniors/seniors preferred)
- Hands-on experience with ML pipelines (e.g., PyTorch, TensorFlow)
- Comfort with Python, cloud notebooks (Vertex AI) and data tooling
- Curiosity and hustle: we want someone who learns fast, asks smart questions and gets things done
- Bonus if you've worked with LLMs, vector DBs (like Pinecone) or recommendation systems
Nice to Have
- Past ML internship experience or open-source contributions
- Experience with Google Cloud (BigQuery, Vertex AI, etc.)
- Familiarity with ecommerce, search, or personalization systems
- Interest in long-term applied research (we'll support paper authorship if applicable)
Why This Role Is Special
- Work directly on models that power Jingo's customer experience - this isn't a back-office ML role.
- Get mentorship from top-tier engineers and researchers.
- Ship real features that make a difference, fast.
- Help us transition a major part of our stack as one of our core team members graduates into a full-time role elsewhere.
- Pick your own setup (newest Macbook Pro etc.)
- Competitive pay: paid internship with performance bonus and potential for an extended role.