Glassdoor
indeed
LinkedIn
Monster.com
ZipRecruiter
CareerBuilder
Remote OK
Dice.com
python-recsys
Scikit-learn
machine-learning in Python
Google Cloud TPU
Qubole
Amazon Forecast
AWS Personalize
Microsoft Recommendations API
Glassdoor
python-recsysGlassdoor is recommended for job seekers, current employees looking to compare industries or assess company-specific insights, and employers interested in gaining a better understanding of their reputation and employee satisfaction. It is also useful for HR professionals and recruiters who want to benchmark their companies against industry standards.
I use Glassdoor mostly to check out companies before applying or interviewing, and itโs helpful to see real peopleโs experiences with culture, pay, interviews, and management. Being able to compare salaries across roles and locations adds valuable context when negotiating or choosing between offers.
That said, the quality of reviews varies a lot โ some are detailed and insightful, while others feel vague or possibly biased. A few companies barely have enough reviews to make a solid judgment, which limits usefulness. And if your priority is finding the biggest, freshest list of jobs, other sites like Indeed or LinkedIn usually have more options.
Overall, Glassdoor is useful for researching employers and compensation, but itโs not always the most reliable standalone job platform
indeed - Find jobs using Indeed, the most comprehensive search engine for jobs.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
LinkedIn - LinkedIn is a business-oriented social networking service, mainly used for professional networking.
machine-learning in Python - Do you want to do machine learning using Python, but youโre having trouble getting started? In this post, you will complete your first machine learning project using Python.
Monster.com - Monster.com is one of the largest employment websites and job search engine in the world.
Google Cloud TPU - Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.