AI Algorithm Engineer

and the job listing Expires on January 13, 2026 AI Algorithm Engineer Intern – Jobnova.ai Remote (US) | Bay Area Preferred | Part-time / Full-time / Intern About Jobnova Jobnova.ai is building the next generation of AI-powered job infrastructure. Our platform helps job seekers get matched to opportunities instantly while enabling companies to discover the right talent, contractors, influencers, and clients through intelligent AI agents. We are a fast-growing early-stage startup founded by an ex-Google product leader and CMU Robotics alumnus. We’re pushing the boundaries of LLMs, retrieval-based intelligence, and AI agentic systems — and we’re looking for passionate AI engineering interns to join us. Research and develop cutting-edge AI algorithms for job matching, skill understanding, career coaching, and AI recruitment workflows Optimize machine learning models, LLMs, RAG systems and RLHF for performance, accuracy, and scalability Analyze large-scale datasets to extract insights and build AI-driven ranking, matching, and recommendation systems Build prototypes for AI agents (resume rewriting, recruiter agents, job search agents, etc.) Collaborate with the product and engineering teams to integrate AI models into production environments Stay current with advancements in LLMs, agent frameworks, and multimodal models Background in Computer Science, AI, Mathematics, Machine Learning, or related fields Strong knowledge of machine learning, deep learning, NLP, and AI algorithms Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, JAX Hands-on experience with LLM technologies (RAG, LoRA fine-tuning, embeddings, prompting, vector databases) Ability to rapidly prototype and iterate in a fast-paced startup environment Curiosity, problem-solving ability, and enthusiasm for building the future of AI-powered work Publications, Kaggle competition experience, or personal ML/AI projects Located in the Bay Area or available for occasional meetups What You’ll Gain Work directly with founders and product leader from Google Build real-world AI systems used by thousands of users globally Exposure to early-stage startup operations, product strategy Potential for return offer, extended internship, or co-founder track for exceptional contributors

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