Claude-jobs is a skill for querying job openings at tech companies. It benefits recruiters and hiring managers by automating job search processes. The skill connects to Claude Code, allowing users to find relevant job postings directly within the platform.
git clone https://github.com/jshchnz/claude-jobs.gitClaude-jobs is a skill that brings job search capabilities directly into Claude Code, allowing you to query openings at over 500 supported tech companies including Stripe, Airbnb, Discord, and Figma. The skill supports filtering by location, department, and experience level, enabling precise job searches without leaving your development environment. Example queries like 'engineering jobs in San Francisco at Airbnb' or 'senior engineer positions at Stripe' return structured results with salary ranges and direct application links. This automation skill benefits recruiters automating candidate sourcing, hiring managers tracking competitor openings, and engineers exploring opportunities at specific companies. Installation requires a single git clone command to integrate the skill into Claude Code.
1. **Install claude-jobs:** Ensure the skill is installed in your Claude Code environment by running `claude install claude-jobs` in the terminal. Verify installation with `claude skills list`. 2. **Run the skill:** Paste the prompt template into Claude and replace the placeholders with your specific requirements (e.g., `[NUMBER]`, `[JOB_TITLE]`, `[COMPANY_NAME]`). For example: ``` Use claude-jobs to find 3 recent job postings for DevOps Engineer roles at Google. Filter for postings published in the last 14 days. Include the job title, location, posting date, and a brief summary of key responsibilities. ``` 3. **Refine results:** If the initial results are too broad, narrow the search by adding more specific filters to the prompt. For example, include `[SPECIFIC_SKILL_OR_TOOL]` like `Terraform` or `Kubernetes` to prioritize postings that mention these tools. 4. **Export or act on results:** Copy the output into a spreadsheet or document for further analysis. Use the job links to apply directly or share with your team. For recruiters, this data can be used to identify hiring trends or competitor activity. 5. **Automate updates:** Set up a recurring task (e.g., weekly) to run the skill with updated placeholders (e.g., `[TIMEFRAME]`) to stay informed about new postings. Save the prompt in a template file for reuse.
Recruiters sourcing candidates across multiple tech companies simultaneously
Hiring managers monitoring competitor job postings and compensation ranges
Engineers exploring open positions at target companies filtered by role and location
HR teams tracking department-specific openings at portfolio companies
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/jshchnz/claude-jobsCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Use claude-jobs to find [NUMBER] recent job postings for [JOB_TITLE] roles at [COMPANY_NAME]. Filter for postings published in the last [TIMEFRAME]. Include the job title, location, posting date, and a brief summary of the key responsibilities and required skills. Prioritize postings that mention [SPECIFIC_SKILL_OR_TOOL].
Here are 5 recent job postings for Machine Learning Engineer roles at NVIDIA, published in the last 30 days: 1. **Job Title:** Senior Machine Learning Engineer - Computer Vision **Location:** Santa Clara, CA (Hybrid) **Posting Date:** 2024-05-15 **Key Responsibilities:** - Develop and optimize deep learning models for image segmentation and object detection. - Collaborate with cross-functional teams to deploy models in production environments. - Lead research initiatives to improve model accuracy and efficiency. **Required Skills:** PyTorch, TensorFlow, CUDA, Python, C++, NVIDIA GPUs **Link:** [NVIDIA Careers - Job ID: 123456](https://www.nvidia.com/en-us/about-nvidia/careers/jobs/123456) 2. **Job Title:** Machine Learning Engineer - Autonomous Vehicles **Location:** Austin, TX (Remote) **Posting Date:** 2024-05-10 **Key Responsibilities:** - Design and implement ML pipelines for real-time perception systems. - Work with sensor fusion teams to integrate LiDAR and camera data. - Optimize models for deployment on NVIDIA DRIVE platforms. **Required Skills:** TensorFlow, ONNX, ROS, C++, NVIDIA DRIVE AGX **Link:** [NVIDIA Careers - Job ID: 789012](https://www.nvidia.com/en-us/about-nvidia/careers/jobs/789012) 3. **Job Title:** Machine Learning Research Scientist **Location:** Remote (US) **Posting Date:** 2024-05-05 **Key Responsibilities:** - Publish research papers on novel ML architectures for generative AI. - Prototype and evaluate models using NVIDIA A100 GPUs. - Collaborate with academic partners on cutting-edge projects. **Required Skills:** PyTorch, JAX, Hugging Face Transformers, NVIDIA NeMo **Link:** [NVIDIA Careers - Job ID: 345678](https://www.nvidia.com/en-us/about-nvidia/careers/jobs/345678) 4. **Job Title:** Machine Learning Engineer - Recommendation Systems **Location:** Santa Clara, CA (On-site) **Posting Date:** 2024-04-28 **Key Responsibilities:** - Build and deploy large-scale recommendation models for NVIDIA's product ecosystem. - Optimize models for low-latency inference using NVIDIA Triton Inference Server. - Work with product teams to define KPIs and measure model performance. **Required Skills:** TensorFlow Recommenders, Apache Spark, NVIDIA Triton, SQL **Link:** [NVIDIA Careers - Job ID: 901234](https://www.nvidia.com/en-us/about-nvidia/careers/jobs/901234) 5. **Job Title:** Machine Learning Engineer - Edge AI **Location:** Remote (Global) **Posting Date:** 2024-04-20 **Key Responsibilities:** - Develop lightweight ML models for deployment on NVIDIA Jetson platforms. - Optimize models for power efficiency and real-time performance. - Create demos and tutorials to showcase edge AI capabilities. **Required Skills:** TensorFlow Lite, ONNX Runtime, Python, C++, NVIDIA Jetson **Link:** [NVIDIA Careers - Job ID: 567890](https://www.nvidia.com/en-us/about-nvidia/careers/jobs/567890) **Summary:** NVIDIA is actively hiring for multiple Machine Learning Engineer roles, with a strong focus on GPU-accelerated AI, computer vision, and edge AI. The postings emphasize hands-on experience with NVIDIA's hardware and software stack, including PyTorch, TensorFlow, CUDA, and NVIDIA's inference servers. Remote and hybrid options are available for several roles, making this a great opportunity for candidates seeking flexibility.
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