1. Expanded H-1B cap exemptions would make it easier for research organizations to qualify for cap-exempt H-1Bs
2. Automatic cap-gap extensions will make it easier for international students to stay here after they graduate
3. The new rule would make it easier for immigrant founders to stay here on H-1Bs to grow their companies
4. Beneficiary-first selection would put immigrants in the driver's seat in picking between competing job offers. It would also help level the playing field by making it harder for IT outsourcing companies to game the system and boost their chances of securing visas
5. "Prior deference" will give certainty and predictability when it comes to visa renewals
This is great. I am have hired many many engineers over many years, and I have not seen a significant difference in the quality of engineers who had a formal CS degree vs. another quantitative degree (physics, math etc.). I have noticed some differences in engineers who have gone through bootcamps, but they are usually great at getting things done, so it has never mattered.
Also curious if there is a list somewhere out there for similar self-taught path for other subjects?
It probably depends very much on if you ever do advanced stuff and if you are able to discern a bad solution from a good one.
For example reading a file with a loop of read(1) works fine, but it's extremely slow. A CSE graduate should in theory know that, and also know why that is.
I was on a H1b and quit my job in March (I still have a year and few months left on my H1b). I applied for a change of status to a h4 (this is still in progress with the USCIS) and had planned to relocate to India in June to start my company, but am still in the US waiting for the covid situation to resolve. Is there any option for me to start the company here?
Thanks for the response! Two questions - Q1. Can i continue working from the US (while on a H4) if the company is incorporated in India? Q2. Can I incorporate in the US and continue working given the current situation?
The pandemic is really bringing out the personalities of civilians, scientists and world leaders alike, from people hoarding essential supplies to scientist making racist remarks like this to world leaders stopping the export of masks and other kinds of aid to the neighbors. "Hangover from the colonial mentality" is the best way to phrase this. Hope the scientists really meant it when the apologized and we all behave like the civilized people we claim to be!
CourseHero (https://coursehero.com) | Redwood City, CA | ONSITE | Full-time | NLP Engineer, Machine Learning Engineer
Course Hero is changing education by building a global community of students, the largest digital library of study materials, and innovative machine learning technology to support both learning and teaching.
Our engineering teams release code every day to millions of people, so we're looking for someone who can embrace challenges, build new features, and iterate quickly. Our projects are big - many terabytes of data and millions of users around the world - but our team is small, so you’ll see projects from start to finish and work closely with product managers and designers to ensure successful results.
We are looking for a Staff/Senior Machine learning engineer who can hit the ground running and work on a lot of fun (and challenging) projects that range from recommending relevant content to our users to extracting question/answer pair from documents. You’ll be a part of the engineering team at Course hero and will ship products that are used by millions of users. We are a data driven company and we are looking to disrupt the field of education and help millions of students learn more effectively by leveraging machine learning and AI. We are looking for people with experience in building machine learning pipelines and algorithms, expert coding skills in python, scala or an equivalent language. We deal with a lot of documents (text data), so relevant experience with Natural language processing is preferred.
Reach out to vaidy at coursehero if you are interested and mention HN in the subject!
CourseHero (https://coursehero.com) | Redwood City, CA | ONSITE | Full-time | NLP Engineer, Machine Learning Engineer
Course Hero is changing education by building a global community of students, the largest digital library of study materials, and innovative machine learning technology to support both learning and teaching.
Our engineering teams release code every day to millions of people, so we're looking for someone who can embrace challenges, build new features, and iterate quickly. Our projects are big - many terabytes of data and millions of users around the world - but our team is small, so you’ll see projects from start to finish and work closely with product managers and designers to ensure successful results.
We are looking for a Staff/Senior Machine learning engineer who can hit the ground running and work on a lot of fun (and challenging) projects that range from recommending relevant content to our users to extracting question/answer pairs from documents. You’ll be a part of the engineering team at Course hero and will ship products that are used by millions of users. We are a data driven company and we are looking to disrupt the field of education and help millions of students learn more effectively by leveraging machine learning and AI.
Reach out to vaidy at coursehero if you are interested and please mention HN in the subject!
I started my career in machine learning with absolutely no knowledge in it. It is definitely some thing that you can learn on the job. You do need a background in linear algebra/ statistics to understand the theory behind different algorithms that will help you decide what algorithm to choose (SVM vs Random Forest for ex.).
Like suggested in the other comment, the best place to start is probably by working on projects with open data sets. Try experimenting with different algorithms, feature engineering techniques. This is especially important because there are plenty of algorithms and identifying which algorithm works for which kind of data set is useful.
Many very broad and general statements are made without any citations to back them up.
- Please be more specific.
The number of self-citations seems somewhat excessive.
- We added more citations.