Job Url: https://www.linkedin.com/jobs/search/?currentJobId=4364962705&distance=25&f_TPR=r3600&f_WT=2&geoId=103644278&keywords=software%20engineer&origin=JOB_SEARCH_PAGE_JOB_FILTER&refresh=true Job Description: Senior Machine Learning Engineer Hikaflow · San Francisco Bay Area (Remote) Easy Apply Save Save Senior Machine Learning Engineer at Hikaflow Show more options Your profile matches some required qualifications Show match details Tailor my resume Help me update my profile Create cover letter BETA Is this information helpful? Get personalized tips to stand out to hirers Find jobs where you’re a top applicant and tailor your resume with the help of AI. Try Premium for PKR0 About the job Machine Learning Engineer (AI Systems) 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 What We’re Looking For 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 Nice to Have (Not Required) 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 What You’ll Get 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.