Ml engineer google salary reddit.

Ml engineer google salary reddit At smaller companies, the titles data engineer, ML engineer, DS, and sometimes even data analyst often overlap in responsibilities. And yes, 7 figure salaries are not impossible (though not common) for the absolute top candidates on the job market **fresh out of their PhD** -- think stellar researchers with many relevant papers in hot areas. An average software engineering role in a generic big tech company (Google, FB, etc. $2mm is enough to buy a house in most places in the bay (although some neighborhoods around Palo Alto might still be out of reach). Jan 30, 2025 · What is the highest salary for an ML engineer? The highest salary of an ML engineer in India is around INR 20,00,000 annually. Hi, I heard that, for software engineering, having Google on a resume add a lot of prestige when you apply elsewhere. Tensorflow and Keras make it pretty easy to get started with ML engineering. As a new grad in Munich, >70k is faang/tier2-level. ML engineers are not typically the people making decisions, they have senior ML engineers, teamleads, principal ML engineers, stakeholders, product owners, sprint planning etc. At least looking at the market. And FAANG engineers in the US are < 5% of total ML engineers in the US, let alone the world. 2011: Lab assistant, $9. I have about 8 years of experience as a data scientist/ML engineer. Without getting into titles, a data scientist at one company could be the same as a data engineer or ML engineer (or both) at another company. Which path would align better with my long-term goals? Apr 10, 2025 · The average ML Engineer base salary at Google is $161K per year. Make two or three resumes. What I found interesting was even during "hiring freezes", FAANG made an exception for senior level ML engineers. I will graduate with a Master's degree in EE from a German university soon, and I have 2 years of experience with Python and 1 year of experience with machine learning (not counting university Posted by u/Practical_Tea_3779 - 46 votes and 101 comments. 2021 - $180,000 Senior Business Intelligence Engineer at the same company (minor bump as previous salary was inflated due to stock increases) 2022 - $270,000 Principal Business Intelligence Engineer at a tech start up At FAANG, there isn't too much saturation. Moreover I believe basic data engineering should be the very first thing any ML or data science practitioner should have as their essentials. Sources say ML is more about science then business. For computer vision applications, the jobs are relatively low compared to NLP and more research oriented. The average additional pay is $104K per year, which could include cash bonus, stock, commission, profit sharing or tips. If it's under 2-3 years or there are fewer than 3-5 other data engineers/ML engineers, it's bait & switch and you will be doing bitch work. In the SWE world, ML is still relatively young and is on its way to becoming a standard skill like database design or distributed systems. Recently, I have been hearing that to earn a salary of more than 50 Lakhs per annum as an ML engineer, an M. Exceptions would be the offices of large US tech-companies (Facebook, Google, . Now count in Google, Apple, Facebook, Amazon, Netflix, etc. Get the Reddit app Scan this QR code to download the app now 20 % salary premium for ML Engineers / ML OPS over Data Just like "Google search specialist" isn The ML Engineer with the higher compensation (salary is only ~40-70% of total income) is an engineer working in San Francisco for Netflix, Google, etc. We would like to show you a description here but the site won’t allow us. Everything pertaining to the technological singularity and related topics… 25 votes, 34 comments. 39 votes, 33 comments. Sure some seniors are pulling in 300-400k but they are some of the best. Learn basic data engineering skills, even if you're not a data engineer. Google L4 research scientist (new grad PhD) is USD ~300K/year (includes annual RSUs, which is basically cash). (For reality check - just Google employs more than 2500 people in Zurich and you have only 270 total samples. It's not an entry-level job, and those are entry-level pathways. As long as you can make a down payment and live on $7k/month excluding housing you can afford a 2mm house (1. If you are talking about Support Vector Machine in a role that equires Power Bi, SAS, data analysis, etc you have not tailored the resume to the role. ) A good idea is to figure out how many data engineers/ML engineers they already have and for how long they have been working in those positions. Tech from a top IIT or IISC is essential. There is most definitely chief engineers in companies. 2. I’ll have 3-5 publications in mid-tier venues, plus many years of experience as a software engineer and machine learning engineer (in non-tech companies). I have an interview for the position of ML Engineer at a startup in Zurich. From what I hear, a DS at FAANG companies are usually glorified analysts. Loan, taxes and fees on 1 mil house with 800k mortgage is ~$5k. The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Data Scientist & Big Data Engineer | France, Paris | Master (Good engineering school) + 0 year experience Base : 43k € (53 350$) Bonus : 3k € (3 700$) / 5 weeks of vacation + 4 extra days / Unlimited fruits and coffee / French healthcare (~everything free) Google the number of employees at Microsoft: 182k! Let's say there are at least 70k engineers in there. Facebook/Google round out the top 10 for Software Engineering salaries in H1B, presumably this is for top tier ML talent/leadership. Hey folks. I recently read an article as well saying that DE salaries in India were ranging around 7-20 lakhs (that's $ ~10k - 27k), for a 1 to 7+ YE, respectively. Hell, even research jobs aren't that much higher (which usually requires a Ph. So there is nothing special about working at FAANG, IMHO. 4M subscribers in the singularity community. Base salary will reach 200k-ish at L5/E5 level. 800k is really really rare On the other hand I've also seen posts on reddit claiming $300k+ salaries straight out of PhD. 25/hr. In a nutshell: ML OPS jobs are neck and neck with ML Engineers jobs. Not specifically FAIR /DeepMind, but more generally, Google research or Amazon Science as an organization. Your two options are 1) formal education, or 2) 5ish years as a backend engineer working on an ML product. Every problem is unique and it requires skill to formulate it as a machine learning problem. Source: I have been to some subset of these schools and they release yearly salary statistics about the graduating class. For the salary, 6k do make sense since gaining ML knowledge enough to help you decide which model to use quickly and implement them will take at least few years of experience. com and glassdoor, the average base pay for an AI researcher is between 55k-87k, but I’m always hearing AI /ML career field having a higher salary for much more. People in my program have gone on to work at Amazon, and a few Google, but these were all applied scientist and engineering Nothing against bootcamps, but you'll see very few bootcamp grads or self-taught people in ML Engineering. They can also direct others on what to do. There are lots of orgs that use ML in an immature way (resembling academia) and need ML engineers to build pipelines, wrangle big data, and create production-ready ML systems for scale. For example, one ML engineer may be able to implement a model straight from a research paper whereas some people make request through an API and consider themselves ML engineers. Is this because high salaries is only for top companies? If one was to get a PHD in artificial intelligence/machine learning, how much salary would they be making? At my employer, on paper the difference between ML engineer and ML Ops engineer is that ML engineer develop the model, while the Ops develop non-ML platforms to run these ML models. For example we currently have: Rokt Canva NVIDIA Atlassian Amazon Are tech companies hiring a decent amount of ML talent right now. But wondering how industrial researchers cope with burnout, and how the workload measures up with a software engineer's workload. Responsibilities: Provide domain expertise in cloud computing security, compliance, and security best practices. I am a senior data scientist (ML engineer). D) If someone told me about a $300k - $500k salaried AI job, I'd immediately guess SF or NYC - probably at the largest tech companies, or some Hedge Fund. Salary Comparison at Google: UX Designers ($315k) vs. Sure there is some more liberty in certain companies, but it's still less about business value and more about creating cool shit and let the MBA's figure out how to make They can create winning ML solutions based on which you can create entire products and hire engineers and managers and all that. 6 per cent to an all-time high, according to an annual tech salary report released on Tuesday. My guess is that the main determinant of the salary going forward is how much projects benefit monetarily from having superstar DL experts over Generally speaking, both an ML Engineer and a Data Scientist can train an ML model. Both pay 15-40% more than Data Science jobs Source… The term AI engineer and ML engineer gets thrown around a lot these days. In fact, for the most part, the AI/ML engineer role was resilient to the tech layoffs and the hiring freezes of the past two years (of course, there are exceptions if you're underperforming). I have a PhD and over 3 years leading a small data science team and over 10 years of DS experience. But even without that seniors aren’t typically getting that. Sep 25, 2024 · However, I’m unsure if retraining as an ML engineer is the best use of my time, or if I should focus on progressing within software engineering and architecture. Hello all! I am a 2024 graduate from India, and was looking for roles in the domains mentioned in my title. Your ML/AI resume should not look like a data analyst or data engineering resume. Junior quant researcher at a buy-side finance firm pays ~400K+/year for new grads (includes guaranteed year-end bonus). There are fantastic ML engineers from all subspecializations working in Europe and making 🥜s. In reality, we have Software engineers who train models, ML engineers who develop inference platform and platform engineers who develop ML, so I don't know if any There's a premium on ML here that you don't find elsewhere and while salaries aren't as big as you'd find in the US, they're excellent for our cost of living. At the senior/staff/senior staff level this could easily be 4-500k/7-800k/1M at a FAANG. true. That's the equivalent of Senior SWE with 5+ yr experience. What would be the expectation at a smaller start up compared to those companies. For instance, the highest salary of an ML engineer in a New York state department/ new york trust company is nearly As an ML engineer at Reliance Jio with one year of experience, I am constantly thinking about my career growth and salary prospects. What is the typical internship salary for an ML Internship at Microsoft, Facebook, Google, etc. ). . 3mn. Generally, you would have some understanding of the math behind ML to be able to design a good solution and debug it. A simple Google search tells you the US median salary (base) of ML engineers comes to the range I mentioned hourly. Median base salaries were $5,000 for junior engineers, $8,000 for senior engineers and $13,750 for engineering managers, according to the report by tech talent platform NodeFlair and The standard E5 (senior engineer) offer for FB London is slightly over £100k base salary and around £180k total comp. I'm making about 10% of that as a postdoc in the UK, even if I moved into industry I reckon that I might double my salary at most. Do you feel the same is true with AI/ML career path? Also, I heard for software engineering that in order to raise your salary it's better to switch jobs. Your RSUs (stock) will vary depending on company and how well your stocks are doing that year, but for L5/E5 expect 120k-200k. Jan 3, 2025 · I have an interview coming a Google(L5), 2 DSA rounds , 2 ML rounds (one system design out of those), I was told no System design in the DSA We would like to show you a description here but the site won’t allow us. Esp in the current AI hype market, it puts the already high non-ML tech salaries to shame (for context, L4-L5 SWE is ~350k). From here, you can slowly gain ML knowledge and transition to ML engineer. Some of the prominent companies that typically hire ML engineers include Samsung research , Nvidia , Adobe , Google , BCAI , other MNCs. I believe senior positions at 75 is pretty low. According to the job description, it is 70-100% remote (in Europe only). P. And just 2/10 models (rough statistics) could do smth when the remaining means nothing at all. How is it possible to make more after moving on from Google in AI/ML? In 2022, salaries of software engineers in Singapore surged 7. Does this happen? I’ve been particularly worried recently of the idea of spending over a decade of my youth in higher education, sitting at a desk, not saving money, and end up with an ordinary software engineer or data engineer job in the end. I saw a recent post on DE salaries in Toronto, and the comments section had a lot of info for US, Canada, Europe, but really less for India. The important thing is that you need to differentiate between ML researcher and ML engineer. Is it realistic to get into these research departments for people who has more applied ML experience? ML scientists/engineers get paid the same as SWE as far as I've seen. 60k is very good. I’m curious what people were able to do in this circumstance. Mostly my work is focused on research, implementations, and optimizations. Not forgetting about such opinions as ML thing is more a decorator for the company then actual needed tech. I've seen GitHub hiring not that long ago too. They know how to prepare the data to feed into a ml algorithm. Where I am located (Norway), ML and AI jobs pay maybe 20% more than software engineering jobs. Software Engineers ($731k) - Take it with a pinch of salt! UX Design Keep in mind that the figures provided should be taken with caution, but according to the data, UX designers earn an average of $315k USD, while software engineers (SWEs) have a higher average salary of $731k USD ctc at Google. A complete history of jobs leading up to your current position. 6mm mortgage). So my question is: is ml career worth doing it or I've already lost without even starting. This was a campus job where I Regarding roles as a fresher for ML Engineer/Data Analyst/Backend engineer/Data Science/Tech. Nobody counts equity and bonus comparing full time and gig jobs. Hey Cidan, Will this role fall under SA or CE at Google Cloud?. Hey thanks for these links. Presently e-commerce and social media companies are the main employers in computer vision domain. Apparently OAI pays 1M for senior people, but those roles are few and far between. Our salary ranges are determined by role, level, and location. 45-55k is still good. Include job title + salary (hourly wage, if applicable) with each step of your salary story, along with job description/duties, and whether you negotiated for pay raises/promotions in that role. My guess is that Deep Learning salaries will go down (due to increased supply) and Machine Learning salaries will go up (due to increased margins, as Deep Learning makes the field more effective). They currently have tens and tens of each data science discipline. 40k and less is bad. I'm keen to hear from people who have made the transition from ML Research/Engineering positions to software engineering… 400k is ~17k/month after tax and retirement in ca. 000CHF yearly, so that levels thing is highly skewed towards a few well paying companies. There is no typical 9-5 as the workflow for model development changes as the project needs change. According to salary. I have been working as an ML Software Engineer for 5 years. Hence thought of making this post. As a working ML engineer, your work is dictated by the current project. You'll learn more as you encounter problems you'll need to solve on projects. I am not a data scientist, but I can do data analysis and data engineering. First hand experience of this and boy it was bad. S - I have 5 years exp and work in a decent org and my salary just hit 22 lakhs this appraisal cycle. Though these salaries are way low than US salaries 964 votes, 223 comments. Freshman year of college. There are at least 200k engineers in total. I've been a "predictive modeler", a "data scientist", and am now a "machine learning engineer". However, their salaries vary depending on the factors such as experience level, location, and skills. I said "at least", not "at most". This position focuses more on backed handling large data, automate certain ML processes, etc. At current inflation rate and scarcity of ML engineers I think junior should be paid 65-75 in cities with avg cost pf living. Facebook has 2 apps for 2 million each, while Google's highest paid H1B is only making $1. I don't have traditional industry experience, have a terrible memory can hardly code without google/LLM's, but was able to develop real world ci/cd ml pipelines that help me earn more than the average SWE salary. With phd and experience, you could push for E6 (staff engineer) Reply reply So the best way to know if you are being paid as per market standards is to check for salary stats for your company/similar company in places like glass door or the salary sharing thread on leetcode etc. The average ML engineer salary in the bay is around 200k TC. The official Swiss stats say that average Software Engineer wage in Zurich is around 135. The “Most Likely Range” reflects values within the 25th and 75th percentile of all pay data available for this role. etc. Not saying that they're common in the US either, as I'm sure they're more focused around the tech-hubs. Is a scientist's job more work/stressful than a grad student's? You get what you put into it I suppose. Sad to say, those high US salaries you often see around here are almost non-existent. The difference is that a data scientist will normally bear more of a responsibility in solving the right ML model for the actual business problem at hand, while the ML engineer will bear more of a responsibility in making sure that ML model can be executed so as 283 votes, 85 comments. I am a machine learning engineer working for a tech company in the Silicon Valley. ) is around $100k in the US, even for just undergrads. pxv rfth zntgbec jhrn dclk daczj qpiyd ppcg lvrhs ytymz ynapm vzf wwwtvk scyjbj gkulgl