More jobs:
Programming Dev
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-03-11
Listing for:
Hikaflow
Full Time
position Listed on 2026-03-11
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Hikaflow is building an AI-powered developer productivity platform focused on automated code review, security analysis, regression detection, contributor insights, and intelligent documentation. We are looking for a motivated Machine Learning Engineer who wants hands‑on experience working on real production AI systems used by engineering teams.
This is an internship designed for individuals who want deep, practical exposure to applied AI in a startup environment, strong portfolio material, and direct collaboration with the founding team.
What You’ll Work On- Designing and improving ML‑powered systems for code analysis, pattern detection, and developer insights
- Working with LLMs for tasks such as code understanding, summarization, and automated review workflows
- Building and evaluating data pipelines for model inputs and outputs
- Improving signal quality, reducing false positives, and designing trustable AI outputs for engineers
- Collaborating on system design decisions across ML, backend, and product
- Background or strong interest in machine learning, AI, or data‑driven systems
- Familiarity with Python and common ML or AI tooling
- Comfort working with APIs, structured data, and experimentation
- Strong curiosity and willingness to learn quickly in an unstructured environment
- Ability to work independently and take ownership of meaningful tasks
- Experience with LLMs, embeddings, or prompt engineering
- Experience analyzing or working with source code programmatically
- Exposure to backend systems, developer tools, or SaaS products
- Prior internships, research, or strong personal projects
- Real‑world experience building AI systems used by actual teams
- Direct mentorship and feedback from the founding team
- Strong resume and portfolio material tied to concrete product features
- Insight into how early‑stage AI products are designed, built, and shipped
Apply if you want to work on real AI systems and build something that matters.
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