AI Algorithm Engineer Intern

AI Algorithm Engineer Intern – Jobnova.ai

Remote (US) | Bay Area Preferred | Part-time / Full-time

About Jobnova

Jobnova.ai is building the next generation of AI-powered job infrastructure — an AI agent–driven discovery layer for work and opportunities.

Our platform continuously captures real-time job and opportunity signals as they emerge, and matches them to the right people based on their skills, intent, and context. For job seekers, Jobnova acts as a personal AI agent — discovering relevant opportunities, tailoring resumes for each role, and automating applications end-to-end to maximize response and interview conversion.

Our vision is to become the first layer where opportunities are discovered — where as soon as an opportunity is created, it is instantly captured, understood, and delivered to the right person.

We are a fast-growing early-stage startup founded by an ex-Google product leader and CMU Robotics alumnus, pushing the boundaries of LLMs, retrieval systems, and agentic AI.

About Connectnova

ConnectNova is building the next generation of AI-powered people discovery and sourcing infrastructure. Our platform helps companies instantly identify and connect with the exact people they need — from talent and contractors to influencers, partners, and clients — through intelligent AI agents.

What makes ConnectNova unique is its ability to continuously learn and adapt. By capturing user preferences, feedback, and outcomes, our system leverages reinforcement learning and agentic workflows to improve matching quality over time — turning sourcing into a dynamic, self-optimizing process rather than a static search.

We are a fast-growing early-stage startup founded by an ex-Google product leader and CMU Robotics alumnus. We are pushing the boundaries of LLMs, retrieval systems, and reinforcement learning–driven AI agents to redefine how companies find and engage people at scale.

💼 Responsibilities

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

🛠 Requirements

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

✨ Nice-to-Haves

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