Hey everyone,

I got tired of checking 50+ career pages daily to find AI/ML job openings, so I built a scraper that tracks 150+ companies in one run.

The problem:

Every AI company posts jobs on their own career page. Some use Greenhouse, some use Lever, some have custom boards. If you're job hunting or doing market research, you're checking 50+ tabs daily.

What I built:

- Scrapes Greenhouse, Lever, RemoteOK, WeWorkRemotely, and YC in parallel

- Extracts skills, frameworks, salary, experience level, remote status

- Change detection tracks new/removed/updated jobs between runs

- Webhook alerts for Slack/Discord when matching jobs appear

- Optional AI enrichment via Groq (free tier)

Tech stack:

- TypeScript, runs on Apify platform

- Greenhouse/Lever APIs (no HTML scraping)

- Keyword-based classifier handles 60-80% of jobs without LLM

- State persisted in KV store for change detection

What I found interesting:

- 62% of AI jobs are remote

- Median salary: $185k

- PyTorch mentioned 2x more than TensorFlow

- Top hirers: OpenAI (45), Anthropic (32), Google (28)

Lessons learned:

1. Greenhouse and Lever have public APIs — most companies expose jobs via JSON endpoints. No scraping HTML needed.

2. Keyword classification is underrated — a simple keyword matcher handles most jobs. LLMs are only needed for ambiguous cases.

3. Change detection is the killer feature — users don't want to browse 1,000 jobs. They want to know "what's new since yesterday."

4. Pricing matters — at $1 per 1,000 jobs, the tool is accessible to individual job seekers, not just enterprises.

What's next:

- Adding more sources (Indeed, LinkedIn jobs)

- Better salary normalization

- Company analytics dashboard

Would love feedback on what other sources or features would be useful.

Live on Apify Store: https://apify.com/lissome_dancer/ai-ml-jobs-scraper

Hi there, I graduated years back and currently stuck in trade job for survival. But, now things changed and what to crack into ML/AI role. Have skills and knowledge that requires.

One thing I'm curious, what that companies Ml engineers really working on what are they looking for Candidates.

If anyone already in this job please share how your typical day looks like. What set of percentage of Ml techniques used in your actual job.

Thanks for time in advance

Found some hot new ML roles and wanted to share them here before they disappear. Check them out!

• Staff Software Engineer, AI Email Applications, Artificial Intelligence (AI) Required - Work From Home @ Next Step Systems

  • 💰 $150–180K/y

• Staff Software Engineer, Model Infrastructure @ Harvey

  • 💰 $231–340K/y

• Hadoop Solutions Developer @ Bright Vision Technologies

  • 💰 $100–150K/y

• Senior Software Engineer @ Cloudbeds

  • 💰 $130–160K/y

• Senior Frontend Engineer, Ads Creative @ Reddit

• Software Engineer III @ HBK Fibersensing, S.A.

  • 💰 $110–120K/y

• Engineer III - Platform Data Engineer (Remote) @ CrowdStrike Mexico S. de R.L. de C.V.

  • 💰 $120–180K/y

• Distributed Systems Engineer (Data Platform) @ Censys

• Software Engineer - Identity and Authorization @ Baseten

  • 💰 $240–285K/y

• Forward Deployed Engineer @ Stability AI

• Staff Software Engineer (GenAI Innovation/ Forward deployed) @ NBCUniversal

  • 💰 $130–170K/y

• Senior Engineering Architect @ OpenTeams

  • 💰 $145–250K/y

• Principal Software Engineer, Intelligent Quality Solutions @ Humana

  • 💰 $157–215K/y

• Tech Lead/Manager, Software Engineering (Remote) @ Cengage Learning Inc.

• DevOps Engineer @ Cloudbeds

  • 💰 $90–120K/y

• Staff Software Engineer, Autonomy Evaluation @ General Motors LLC

• Sr Software Engineer (B2B Scores) @ Fair Isaac Mexico S.A. de C.V.

  • 💰 $123–193K/y

• Full Stack Super SWE @ P-1 AI

  • 💰 $200–275K/y

• Senior Software Engineer, Inference @ AssemblyAI

  • 💰 $190–225K/y

• Senior Software Engineer, Search @ Vannevar Labs

  • 💰 $150–215K/y

• Graphics Engineer @ Visual Concepts

• Software Engineer, Infrastructure (Go) - remote in the US @ Mirantis

• AI Integrations Staff Engineer @ Vetcove

  • 💰 $150–230K/y

• AI Engineer @ Iowa State University

• AI Developer @ CareSource Management Services LLC

• Principal Cloud Engineer @ NAB North American Bancard, LLC

  • 💰 $140–205K/y

• Senior AI Engineer @ Monte Carlo

  • 💰 $180–240K/y

• Product Engineer, Python AI, Consultant - Remote @ Integon Services Co

  • 💰 $70–121K/y

• Software Development Engineer @ Aetna Resources, LLC

  • 💰 $65–159K/y

• Senior Software Engineer, Backend (Applied AI) @ SmarterDx

  • 💰 $190–230K/y

• AI Engineer-Anthropic-University/Graduate Level - UK @ NewRocket

• Principal Robotics Software Engineer @ Blue River Technology

  • 💰 $174–305K/y

• Senior Software Engineer - Build, NYC @ Astronomer

• Staff Software Engineer, Risk @ Airwallex

  • 💰 $200 – $330/h

• Senior Engineering Manager, ML Platform @ Sift

Leave a like if I should do new one next week :)

Hi everyone,

My partner has a bachelor’s degree in Philosophy, excellent English, native Spanish, and has been researching AI in recent years.

We’re looking into worldwide remote AI-related opportunities, especially AI training, evaluation, ethics, and other non-programming roles.

She’s particularly interested in opportunities where her philosophical background could be useful..

but we’re also open to roles that aren’t directly related to philosophy, as long as they’re genuinely in the AI field.

For those with actual experience in the field:

• How realistic is it to find this kind of work

• Which companies or platforms are worth applying to?

• What skills or qualifications matter most?

• What are the typical pay, stability, and application processes like?

Any honest advice or personal experiences would be greatly appreciated,

Thank you! 🫶

I am currently looking for opportunities as an AI Engineer. Could you please suggest which skills are most important for AI Engineer roles and which technologies, tools, and concepts I should learn to build a strong profile? I also want to understand what skills are commonly expected by good companies when hiring AI Engineers.

Hi,

I’m a 2025 CSE graduate from India and I’ve been trying to get my first job in AI/ML for quite some time now.

I’ve been applying to AI/ML, Data Science, GenAI and entry-level engineering roles, but honestly, I’m getting very few responses. At this point I’m wondering if I’m doing something wrong.

I’ve spent a lot of time learning and building projects instead of just collecting certificates.

Some of the projects I’ve worked on:

• AI-Powered Movie Recommendation System
• YouTube Transcript RAG Assistant
• AI Medical Report Summarizer
• Chest X-ray Pneumonia Detection
• Rice Leaf Disease Classification
• Traffic Sign Detection & Classification
• AI Research Paper Summarization Tool
• House Price Prediction
• Flight Fare Prediction
• Earthquake Damage Prediction
• Rainfall Prediction
• Bank Credit Prediction

My main tech stack/skills are:

Python, SQL, C++
Scikit-learn, Pandas, NumPy, Matplotlib
TensorFlow, PyTorch, Keras
Machine Learning, Deep Learning, CNN, Transfer Learning
OpenCV, Computer Vision, Image Classification
NLP, Hugging Face Transformers, Text Summarization
LLMs, RAG, Prompt Engineering, LangChain, LangGraph
FAISS, Sentence Transformers, Embeddings, Semantic Search
AI Agents, Agentic Workflows, Tool Calling
FastAPI, Streamlit, REST APIs
Git, GitHub, Jupyter, Google Colab

I know I’m still a fresher and definitely don’t consider myself an expert in everything listed above.

I’ve been trying different approaches, but getting almost no interviews despite 700+ applications across platforms + cold outreach is really discouraging.

But I’m confused about what I should do next.