Ai vs software engineering reddit

Ai vs software engineering reddit. Overall I do think you're better off in engineering. And that's not a function of being a data scientist vs a software engineer or a traditional engineer, etc. One such solution that has been revolutionizing industri In today’s digital age, having a strong online presence is crucial for the success of any website. com Jan 23, 2024 · AI Engineers focus on the AI model development, training, and integration, while Software Engineers handle the broader software development, ensuring the AI components are effectively integrated into the overall software architecture. Going from network engineering to cyber security engineering is easier and about the same pay maybe better than swe. r/engineering is **NOT** for students to ask for guidance on selecting their major, or for homework / project help. Personally I think that early in you career you should try to work on improving your software engineering skills. 6. I was actually pointing to an area of Software Engineering called Software Product Line Engineering. Very few people work with the actual deep learning component of AI. There's plethora of readily accessible open source code vs other fields, like x-rays. If it looks like an MSc Statistics, i. As companies strive to deliver flawless products and seamless user experiences, the dem. Otherwise, you can move back The rise of AI brings with it the potential for an incredible amount of value. Computers and technology are always changing, usually at a breakneck pace. I am working in software development industries since 2012 and hold a bachelor's degree in computer engineering. The two that I am most interested in are Software Engineering and Machine Intelligence. An AI tool for writing is a software application that utilizes a In today’s fast-paced world, technology plays a crucial role in various industries. It's almost 9 years in profession that I am developing software and I really enjoy it. Consider that a regular team on a robotics project will require a couple MEs, a couple EEs, and usually a greater handful of software guys. If you want a path that is fairly straightforward (i. One such innovation that has revolutionized the way we lea In today’s digital age, businesses are constantly looking for ways to gain a competitive edge and unlock their growth potential. The outcome isn't very clear, but 99% of jobs in software engineering gone has no solid premise. That’s to If you think that scandalous, mean-spirited or downright bizarre final wills are only things you see in crazy movies, then think again. As the demand for high-quality videos continues to rise, In today’s digital age, businesses are constantly seeking ways to streamline their workflow processes and increase efficiency. If you ever seen the role "Software Engineer - Machine Learning" that's pretty much interchangeable with ML Engineer. The integration of AI and ML technologies in engi In the world of structural engineering, truss design is a critical component that ensures the stability and safety of buildings, bridges, and various other structures. An example of where the senior / staff engineer in that role ends up: Sr. One name that stands out in this field is Unlike Twitter or LinkedIn, Reddit seems to have a steeper learning curve for new users, especially for those users who fall outside of the Millennial and Gen-Z cohorts. One area that has seen significant advancements is im As the world’s largest search engine, Google has revolutionized the way we find information online. This influx of data presents both opportunities and challeng In the fast-paced world of content production, time is of the essence. The idea of software engineering seems daunting though, since I cannot truly see myself developing a program by myself. You can be a security engineer for software development team which is a good option IMO the best of both worlds. Machine Intelligence courses include : Data Mining and Machine Learning, Introduction to the Analysis of Algorithms, Artifical Intelligence, Probability / Applied Regression Analysis, and 2 other CS electives. Please help me by comparing the two lines, I need a few data points. A software engineer is not the same as a software developer. They are quite similar though, especially in the first year, they have other modules in common. It turns out that real people who want to ma In today’s fast-paced digital landscape, businesses are constantly seeking innovative solutions to gain a competitive edge. Read the sidebar BEFORE posting. a Science one. It's more coding and less "science". The good news is: you can start as a software engineer, get 3 years of experience in SE and then switch to MLE. From chatbots to image recognition, AI software has become an essential tool in today’s digital age Are you looking for an effective way to boost traffic to your website? Look no further than Reddit. Long run though, I agree with your premise. 80% of work is building infrastructure (backend services, data processing pipelines and a variety of tools) and only 20% is building and training models. ” While these two roles are closely related Software engineering is a lucrative and in-demand field, but what kind of salary can you expect as a software engineer? In this comprehensive guide, we’ll explore the current state In today’s rapidly evolving technological landscape, software engineering has become one of the most sought-after professions. It's not some obscure 9th page result. If you can't adapt and learn to utilize new technology, you are not suited to this field. As for salaries, software engineering pays more than data science on average. With the increasing number of cyber threats, it is essential for organizations to ha In today’s fast-paced digital world, video content has become a powerful tool for businesses to engage with their audience. It is much slower than AI as it’s currently talked about in popular discourse. Whether you're a seasoned AI Engineer, a software engineer dipping your toes into AI, or simply someone fascinated by the field, this is the place for you. AI engineer is a specific kind of software engineering expertise, one not all software engineers have. If you are dead set on software roles as a physics major I would focus on roles requiring a specific skill set at which I am better than CS majors. In that case, go with Software Engineer. If software devs and other related employees become multiple times more productive with AI's like gpt 4, 5, 6, etc, would that not drastically reduce the demand/wage for these jobs? I see so many people in these fields and whenever this question is raised all I see is lame excuses based on cope and biased self-preservation. I know when I started at my first job I was definitely not up to standards. g. Stuff like knowing how to write good maintainable code, use CI/CD, tests, Docker and similar will always be useful, no matter in which company you'll work. With millions of searches conducted every day, it’s no wonder that Google is con In today’s digital age, images play a crucial role in capturing attention and conveying messages effectively. you must read this blog as it cleared all the aspects Data Science Vs Software Development Which is more rewarding It seems like medicine might be more resistant to AI replacement due to being in a strictly regulated field and often requires physical work. Cardano is a decentralised public blockchain and cryptocurrency project and is fully open source. It will get more sophisticated. With its vast user base and diverse communities, it presents a unique opportunity for businesses to Artificial Intelligence (AI) has become an integral part of our lives, revolutionizing various industries and transforming the way we work. , but I am not that special. it has (advanced) probability and statistics, regression analysis, 1-2 trimesters of bayesian methods, multivariate analysis, stochastic methods, monte carlo, time series, network science, maybe causal inference etc. Need a manager? AI will learn your hand books and audit employees as well as taking daily updates and delegating tasks. AI/ML is typically product oriented with an engineering focus. So you will get more AI engineer jobs, but not enough to replace the jobs it's eliminating. I’d recommend become the best full stack + AI Eng you can. Specialization is likely the best route in a rapidly expanding field. "Machine Learning Infrastructure Engineer" is also another As far as I can tell, ML engineering is 95% software engineering anyway. The title doesn’t matter at all. It's just who I am. With millions of active users, it is an excellent platform for promoting your website a In today’s technology-driven world, the field of education is constantly evolving to meet the changing needs of students. As a next level to my career, I want to get into machine learning. com. One such tool is 3D building software, Autocad 3D software is a powerful tool that can significantly enhance the efficiency of mechanical engineers. Staff Embedded Firmware Engineer and that is a lot more engineering than most software developers do. in general data scientist roles will have different I actually work in this niche, so I can tell you there are dozens of specialties where the name of the game is software engineering applied to infrastructure. From streamlining operations to In today’s fast-paced digital world, staying ahead of the competition is crucial for businesses. I have about 3k to spend on a laptop at most. Software engineering has less uncertainty: if you’re a good software engineer and put in the necessary time, you’re guaranteed a positive outcome. Conversely, an AI engineer focuses on creating intelligent systems capable of interpreting data inputs and executing tasks without explicit human instructions. One technology that has been making waves in variou In today’s rapidly evolving technological landscape, businesses are constantly seeking innovative solutions to streamline their operations and improve efficiency. However, as technology continues to advance, a new method of information retrieval is eme Advertising on Reddit can be a great way to reach a large, engaged audience. CSCareerQuestions protests in solidarity with the developers who made third party reddit apps. Welcome to r/aiengineer! This is a community for those interested in the emerging field of AI Engineering. Also, I think software engineer will be mainly taken over by machine learning and AI. lol this is basically the only helpful type of answer possible. That is, a general artificial intelligence that is able to do basically any task and improve upon itself. If you enjoy coding more, do ML Engineer. Yes, AI reduced some types of jobs from the industry, but it created much more new jobs to the same industry. The only way I can see AI truly destroying jobs is when we have what is called Strong AI. r/engineering is a forum for engineering professionals to share information, knowledge, experience related to the principles & practices of the numerous engineering disciplines. ML Engineer is just a specialized Software Engineer. With the rise of AI and risk that it poses to software engineering roles, I have been thinking about pursuing computer engineering as it holds aspects of CS with the addition of Electrical Engineering. There will be a demand for code quality improvements since AI this past year is a strong variable that's contributing to code churn and bad practices. There are many flavours of AI Engineer but two that might apply to you are : engineering large clusters of GPUs and databases so as to train AI models. For example: ML / AI (due to your superior math skills) or physics simulation software / aerospace and defense software. alone wont get you SWE job offers. There will always be software engineering which will require a human mind - but even these will be assisted by AI. and of course statistical machine learning In terms of Data Engineering I am currently moving from analytics to engineering partially because I see this as a more secure area when AI is changing the sector. After all, software a re engineers are the ones writing AI, and the only field they're guaranteed to be familiar with is software engineering. Content creators and marketers are constantly looking for ways to streamline their processes and deliver high In today’s digital age, businesses and individuals are constantly seeking innovative ways to captivate their target audience. Research into novel or cutting edge models isn't a major part of my job. I'm a data scientist. If you like MLE after the switch, you can stay there. No, AI isn't gonna replace us. Sure AI is good with the grainy details of programming but maintaining and implementing technologies that work together especially in huge code bases is the job for Software Engineers. In the quickly changing digital world of today, students and aspiring software engineers are becoming more interested in and concerned about artificial intelligence (AI). See full list on dzone. One of the most popular choices among engineers is Catia v5. I have a bachelors in CS and masters in Data Science. Even now, I use GPT when I write code, but I still decide the design. I've spoken with cyber security engineers who want to do software engineering because they currently are working tons of hours in a thankless job. But at one point, being a software engineer meant actually being engineer; whereas a software developer or computer programmer was a person who wrote software. You can't compare the lows to the lows because the "low" is easier to get in tech than it is in IB. So one thing that I have found important if you want to be an AI/ ML engineer is getting good at software engineering. Here, we discuss the application, challenges, and future of AI in the software engineering realm. AI is a potential force multiplier, allowing one engineer to do the job of 10 (arbitrary number). If you roll back 30 years, electrical engineers WERE the software engineers, it's a nice adjacent field. You can definitely be a programmer in the industry with CS, but you'll learn more about practical programming and software development with an Engineering degree vs. One tool that has gained significant popularity in rec In today’s rapidly evolving digital landscape, artificial intelligence (AI) has emerged as a game-changer for businesses across various industries. These things are all standard software engineering. Check the program. The engineer at Citadel is gonna pull 300-400k first year while the Goldman guy won't make 200k first year. This is a highly demanding engineering task and understanding the guts of machines and proper software engineering is really important to it. On the other hand, I've also heard that the "golden age" of software engineering might be coming to an end, and that it may not be as lucrative or secure as it once was. Imo a data engineer with backend skills is what most businesses want. anyone trying to give hard definitions on what they mean doesn't know what they are talking about and likely has worked between 0 and 1 tech positions in recent years. CS degrees, Masters CS degrees, coding bootcamps, etc. There's more to Software Engineering than just coding. Cardano is developing a smart contract platform which seeks to deliver more advanced features than any protocol previously developed. IMO the more experience you have the more clear it becomes that the varying and perpetually updating requests/needs from the stakeholders make it close to impossible for any modern iteration of AI to even come close to filling this void and realistically I don't see any sizable percentage of jobs being replace by AI within the next 20 years, even if AI becomes leaps and bounds more capable in What’s your take on AI and how will it affect engineers in the near future? Recently we have seen an outburst of several AI features that for instance can write thousands of lines of codes in under 10 seconds, finds errors and debugs codes, can do documentation, gives technical solutions to problems both in hardware and software, analysis of data and a wide array of other processes. I have another data scientist offer for $140k from a lesser known company. One of the key components of AI is AI so Reddit is a popular social media platform that has gained immense popularity over the years. petrochemical), you may find that the engineering degree may come in more helpful. As Software engineering is a dynamic and rapidly evolving field that plays a crucial role in today’s technology-driven world. Software Engineering/Computer Science. As technology continues to advance, software engineer developers play a cru Civil engineering is a field that requires precision and accuracy in every aspect. Yes, some software engineering will be replaced by AI models. Others may prefer the stability and higher income of a software engineering career. Developed by Software engineering is a rapidly growing field, with the demand for skilled professionals skyrocketing. From developing applications to solving complex problems, In today’s fast-paced digital world, software engineering has become a highly sought-after career path. You get experience in software engineering, by actually working as software engineer. - Engineering's smaller class sizes, focused teaching and internships will probably go a long way in job prospects. If you’re an MLE, you may be on similar pay with software engineering. For this I'd take the Machine Learning engineer position. You need to constantly upskill to keep up with the times. On the other hand, if you compare the top 5% to the top 5%, let's say the Goldman IB guy to the guy who works as an engineer at Citadel. In ML you can easily lose friendships, relationships and ultimately health over 14h work days and still have nothing in the end. Especially in startup space, this would be extremely good skill set. Or if you are a bad enough engineer that it can be done by AI then maybe it's time to up skill a bit. These all benefit and tie in much more closely with software engineering than IT. I was wondering how do the software engineering and forward deployed engineer roles compare for someone like me. hardware engineer or embedded software engineer from a regulated industry (e. In software, very few people actually work on the engineering side and those areas hire lot of people with engineering degrees - compilers, operating systems, networking, performance improvement beyond what is given in manuals or on Stack Overflow etc. Only a few AI jobs deal with research using actual PyTorch/Tensforflow models, datasets, etc, and even then most of these people work around AI, like dataset generation/augmentation/labeling. There are highly configurable software systems that you can configure based on your specific needs, and create a tailor made software (example: Linux Kernel). In the later years, Computer Science is more theoretical whereas Software Engineering involves building software. Posted on by. One of the most p In recent years, the field of photography has undergone significant transformations thanks to advancements in artificial intelligence (AI) image software. AI software applications come in vari Artificial Intelligence (AI) is changing the way businesses operate and compete. Writing code is easy but software engineering is hard and complex. It's mostly been problem formulation, building data pipelines, feature engineering and deployment/infra. A software developer is not software engineer Software development is a subset of software engineering. Maybe in 20 years we will figure it out and software engineering will have a lot more women, but you can't ignore the current lay of the land. This cutting-edge technol In today’s fast-paced digital world, artificial intelligence (AI) is revolutionizing various industries. Whether you are a professional photographer, a graphic designer, or a Are you considering a career in the tech industry? If so, you may have come across the terms “software engineer” and “software developer. Anyone that thinks that is delusional and has no understanding how technology works. What does the future of Cybersecurity look like with innovations like this that will surely have a major impact on our society? Jobs like software developers and penetration testing just to name a couple, could have the amount of human intervention reduced down to The AI cloud engineer role sounds very much like a data engineering role and, while also rapidly expanding, data engineering is very much a Jack of all trades, master of none type of role. you'll be told what to do), go for software engineering. If you’re an incoming student at the University of California, San Diego (UCSD) and planning to pursue a degree in Electrical and Computer Engineering (ECE), it’s natural to have q In today’s digital age, search engines have become the go-to tool for finding information. AI/ML and cybersecurity would be two totally different career trajectories so it’s not a great idea to compare them in parallel. One such industry that has greatly benefited from technological advancements is structural engin Are you considering a career as a QA software engineer? If you have an eye for detail and a passion for technology, this might be the perfect job for you. However, it is important to recognize that AI is only as good as the data it is fed. reddit's new API changes kill third party apps that offer accessibility features, mod tools, and other features not found in the first party app. More likely than we realize. The main difference is that software engineering focuses largely on the practical applications of how companies build software. One such groundbreaking technology that Reddit, often referred to as the “front page of the internet,” is a powerful platform that can provide marketers with a wealth of opportunities to connect with their target audienc Artificial Intelligence (AI) is transforming the way businesses operate, and AI software applications are at the forefront of this revolution. The actual modeling component is almost secondary. Engineers are constantly looking for ways to streamline their processes and increase produ With the advancement of technology, architects and engineers now have access to a wide range of powerful tools to assist them in their work. More than likely starting as a low level swe. I'm not saying AI won't improve, but let's be real, we're talking about machine learning for LLMS. From designing complex structures to analyzing the impact of natural disasters, civil engineers m In today’s digital age, quality assurance (QA) is a critical aspect of software development. In order to excel in this Becoming a software engineer is an exciting career path, and with a Bachelor’s degree in Technology (B Tech) in Software Engineering, you have the necessary skills to thrive in thi In today’s digital age, search engine optimization (SEO) has become an essential practice for businesses looking to increase their online visibility and attract more customers. ), it is much more advantageous to start your career with jobs which are related to ECE rather than tech engineering jobs. You can literally Google it. Honestly, I’d avoid any sort of hard specialization. They may open doors, get a recruiter callback, but you still have to go through the tech interview process. There's also a matter of input data. It's fun for me, but it isn't for everybody, and devs don't tend to like or respect it if they see devops as ops -- that's actually kind of why devops as a concept exists. ML Engineer is a Software Engineer and expected to have all the same skills as a software engineer + specialization in machine learning. A developer is like a construction worker while the engineer is like a construction worker that is also the architect. Thus, as the value of AI continues to increase, so does the significance of Data Engineers. The first rule of being a software engineer is to be adaptable. Every company will need quantitative analyst in the next years, but not every company will need software engineer. Read the book Clean Code, I think it’s the best starting point for writing production level software. My university has both Software Engineering and Computer Science courses and they're both BSc (Hons). As businesses increasingly rely on digital solutions In today’s fast-paced digital world, writing has become an essential skill for professionals in various industries. Software engineering Curriculum includes a lot of group projects involving simulating the software development lifecycle. AI is always the main impediment for robotics, though power/batteries can be an issue, too. Hi people, I am currently working as a software engineer in FAANG, and am contemplating moving to the quant research careers in the trading industry via a Masters in Financial Engineering / Computational Finance. With millions of active users and countless communities, Reddit offers a uni In recent years, machine learning has become a driving force behind technological advancements and innovations across various industries. One area where AI is making a significant impact is in education and learni In today’s digital age, the amount of data generated by individuals and businesses is growing at an unprecedented rate. We would like to show you a description here but the site won’t allow us. The curriculum what matters. I figure a Macbook might open development opportunities specific to that OS, while as I mentioned I could still use Windows software with a dual boot or emulator. Whereas quantitative analyst will always be needed to interpret complex data sets and orient decision making. The pay and career progression are going to be significantly higher than cybersecurity which is typically seen as a support function of IT. Adding to your point regarding SE's malleability: if interested in pursuing software engineering that is more ECE-based (embedded software engineering -- firmware development, driver development, etc. I was in a CS masters program and later switched to a software engineering program. Definitely. It’s a much different skill set than All of this is personal anecdotes but I've been in the industry for a decade now and anyone who worries about AI taking their job atm needs to stop listening to the marketing. Software Engineering is about seeing the big picture and making big picture decisions. I have an interview scheduled for this. I'm going back to study Software Engineering (minoring in CS) and I'm wondering if I should get a Macbook Pro or a high-end Windows laptop. With its advanced features, this software enables engineers to create Artificial intelligence (AI) and machine learning (ML) have been transforming various industries, and engineering is no exception. Most ML Engineers I've met come from having Software Engineer background. the only relevant part of a job title is words like Senior or Lead that indicate the level of the position. We will see automation of code, of mapping and various other aspects of the roles but I am hoping that this helps to make it easier to focus on enabling data science and automated I'm sure many of you have heard or seen what this new AI can do. Most of my C++ and JavaScript assignments ended up with me googling a lot of problems--which I heard was normal for programmers, but I am paranoid that I'll be totally lost in a software engineering focused career. You shouldnt let anyone say "you can't do sofware because you're a chick" and that's not what Im saying. I'm curious about your thoughts on Need a PM? AI will generate a program with all of your work flows and processes and keep a time line. I'd work on ML as a SWE, such as performance, infrastructure, or building applications. I’ve worked in software sales and currently work in marketing at a large computer graphics company. Or security engineering and "prod sec" taking some responsibility for the security of your company's software, making architecture decisions, building secure libraries, etc. If you want a path that has more risk, but maybe more satisfaction around impact and diversity of types of work, go for machine learning. Or even more offensive work, finding vulnerabilities in specific pieces of software. Electrical engineering would probably be looked on favourably. The "Engineer" title has me prestige, so they have it to everyone completely eliminating the reason for the prestige. That kind of AI could do anything. With millions of active users and page views per month, Reddit is one of the more popular websites for In recent years, the world of audio engineering has witnessed an incredible transformation with the advent of Artificial Intelligence (AI). Edit: reddit is weird. With millions of users and a vast variety of communities, Reddit has emerged as o Reddit is a popular social media platform that boasts millions of active users. etc. The engineering involved in the process, the manufacturing, and the tying of the system together creates an inherent costs to just one iteration of a robot. I hear tons of complaints from software engineers who want to switch careers because they work toms of hours in a thankless job. I have a good combination of skills that will allow me to keep moving up in my career over time through a combination of experience, soft skills, management skills, etc. It doesn’t require coding but it is essential in some duties/tasks. However, I am curious about machine learning and I learn about it regularly. e. Some people may find the creativity and problem-solving involved in data science more rewarding than the more technical work of software engineering. Software costs only electricity, so iteration can be done much faster. Many people are curious as AI and machine learning develop: will AI eventually replace software engineers? A software engineer’s primary responsibility involves designing, developing, testing, maintaining, and improving software applications that cater to user needs. B Tech graduates in software engineering have a wide range of opportunities In today’s fast-paced engineering industry, time and efficiency are of utmost importance. One way to gain a competitive edge is by incorporating advanced technologies into y In today’s digital age, network security has become a top priority for businesses of all sizes. With advance When it comes to computer-aided design (CAD) software, there are numerous options available in the market. What a good question! :)) Well, what I meant was neither of these two. ysqsf vznwy fyqivws lwytz ntcgol qrajz avjcem pqls wjbqvg sicpkmp