OCTOPYD

About the Company

At Octopyd, we're redefining talent acquisition with Ivy and Levi, our AI-driven recruitment assistants designed to streamline every stage of the hiring process. * Ivy is your AI-powered hiring assistant, seamlessly integrating with your Applicant Tracking System (ATS) to automate screening, outreach, and candidate engagement--helping you focus on securing top talent faster. * Levi is Octopyd's AI sourcing agent, proactively identifying and engaging high-potential candidates with personalized outreach at scale. Together, Ivy and Levi optimize sourcing, screening, and outreach, reducing time-to-hire and ensuring every hire aligns with your company's culture and needs. With Octopyd's AI-powered recruitment technology, hiring teams can build high-quality pipelines effortlessly and make smarter, data-driven hiring decisions. Octopyd is here to revolutionize how you hire and build exceptional teams. Our aim is to foster a global ecosystem that streamlines the hiring process, optimizes talent acquisition, and enhances the quality of candidate assessment while reducing conflicts of interest. By redefining recruitment standards, Octopyd is paving the way for a smarter, fairer, and more effective future of hiring. Join us in shaping this transformation. Want to see Ivy and Levi in action? Visit www.octopyd.com to learn more.

Listed Jobs

Company Name

OCTOPYD

Job Title

Full Stack Engineer

Job Description

Job Title: Full Stack Engineer Role Summary: Build and scale AI-native hiring systems that orchestrate large‑scale LLM pipelines, real‑time ranking engines, and recruiter workflows. Expectations: - Ship production‑grade services at scale with a focus on performance, resilience, and usability. - Own end‑to‑end delivery cycles, from architecture to production releases. - Drive experimentation and iterate fast, using data‑driven decision making. Key Responsibilities: **Backend focus:** - Architect cloud‑native services integrating LLM evaluation engines, ATS connectors, and data pipelines. - Design distributed scoring systems for millions of resumes, ensuring high availability, low latency, and privacy compliance. - Build streaming and batch pipelines for candidate data, interview events, and outreach metrics. - Maintain infrastructure‑as‑code pipelines and CI/CD workflows for safe, frequent deployments. **Frontend focus:** - Develop a next‑generation recruiter workspace using TypeScript, React, and open‑source UI libraries. - Visualize depth insights (skill graphs, score trends, diversity metrics) in interactive, high‑performance interfaces. - Collaborate with backend and ML teams to surface real‑time AI recommendations. - Optimize browser performance for power‑user workflows. Required Skills: - 3+ years professional software development experience in backend (Go/Python) or frontend (TypeScript/React). - Proven record shipping scalable production systems with a focus on performance, resilience, and UX. - Strong coding, architecture, and debugging skills. - Collaboration across product, ML, and design teams. - Passion for building productivity tools and enabling others to be more effective. Bonus: - Recruiting/HCM or ATS integration experience. - LLM fine‑tuning or retrieval‑augmented generation knowledge. - High‑volume data processing, event‑driven architecture, or graph database background. - Startup engineering team scaling experience. Required Education & Certifications: - Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent practical experience).

Los angeles, United states

On site

Junior

23-09-2025

Company Name

OCTOPYD

Job Title

Applied Scientist

Job Description

Job Title: Applied Scientist Role Summary: Design, prototype, and validate physics-informed and reinforcement‑learning algorithms for high‑performance semiconductor and logic design. Translate research prototypes into production‑grade systems with scalable pipelines and robust experimentation frameworks. Expactations: Deliver reproducible, sub‑second models that accelerate design workflows; publish findings, contribute to open‑source projects, and present technical results to internal and external audiences. Maintain rigorous documentation and evidence‑based improvement cycles. Key Responsibilities: - Prototype and evaluate novel RL, supervised, and unsupervised methods that incorporate physics priors or logical constraints. - Collaborate with ML engineers to integrate experimental models into scalable, reproducible pipelines. - Build and maintain data‑processing, training orchestration, and evaluation platforms for large‑scale experiments. - Analyze extensive datasets from simulations and real‑world logs to diagnose model behavior and identify failure modes. - Document research outcomes, publish technical reports, and contribute to open‑source initiatives. Required Skills: - Deep expertise in machine learning and reinforcement learning, with a strong focus on scientific computing. - Proficiency in Python and a deep‑learning framework (PyTorch or TensorFlow). - Strong coding practices suitable for collaborative research environments. - Excellent written and verbal communication skills for conveying complex ideas to diverse audiences. - Ability to design reproducible experiments and manage large‑scale data pipelines. Required Education & Certifications: - PhD or Master’s degree in Computer Science, Applied Mathematics, Physics, Electrical Engineering, or a closely related field. - Demonstrated experience developing and evaluating ML/RL algorithms (publications, open‑source contributions, or applied research projects).

San jose, United states

On site

28-09-2025