Ml engineer google salary reddit Places like Uber, Nubank, Google can pay up to 40-50k BRL per month to the right person. 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). So it's not relevant directly to data engineering. Sources say ML is more about science then business. School/Year: non-target state school (US), 2nd year . The official Swiss stats say that average Software Engineer wage in Zurich is around 135. Some of the prominent companies that typically hire ML engineers include Samsung research , Nvidia , Adobe , Google , BCAI , other MNCs. Does our work overlap? Hi AI / ML engineering, What's your position and how much are you paid to do artificial intelligence / machine learning? Most information online are guesstimates and most are centered around US salaries. I've worked in both Microsoft and Google and some of my colleagues worked 4 days a week, others worked at strange hours, others remotely in different countries and others took months long vacations every year. Google now posting salary ranges (on all jobs, inc DS) manager-i-software-engineering 120k is the 9-month salary. There is most definitely chief engineers in companies. I said "at least", not "at most". In some companies they can search for 5 ML scientists, receive 20 applications and only keep 1 person. 500GB of data or more), you can't do deep learning on your laptop or PC - either data can't fit or too long to train. Choose features using domain knowledge. 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 400k is ~17k/month after tax and retirement in ca. 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. The day goes: 08 - Check results from model trained overnight, understand them, document. I believe senior positions at 75 is pretty low. That's the equivalent of Senior SWE with 5+ yr experience. Sc. , these roles typically pay $400k+ in total compensation, but I'm not familiar with London pay In a nutshell: ML OPS jobs are neck and neck with ML Engineers jobs. Same story, no appetite for ML models. Not forgetting about such opinions as ML thing is more a decorator for the company then actual needed tech. Learn basic data engineering skills, even if you're not a data engineer. I am a machine learning engineer working for a tech company in the Silicon Valley. The important thing is that you need to differentiate between ML researcher and ML engineer. Hello all! I am a 2024 graduate from India, and was looking for roles in the domains mentioned in my title. In total it was like ~3 leetcode problems, a machine learning system design problem where you talk through a complete ML solution to a problem, and a culture fit interview. The average ML engineer salary in the bay is around 200k TC. What is the typical internship salary for an ML Internship at Microsoft, Facebook, Google, etc. 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. Companies are already keeping the best applications and some companies will prefer giving no job instead of giving a j People who think that they above-average understanding of statistics somehow have a free pass to not also be a software engineer are in for a reality check. Hello, I am a developer living in Europe currently interesting in moving to China and preferably Shanghai to work. For example we currently have: Rokt Canva NVIDIA Atlassian Amazon Are tech companies hiring a decent amount of ML talent right now. , Google), so you could dock off 5% at a startup for reasonable stock options. ) is around $100k in the US, even for just undergrads. 4M subscribers in the singularity community. A standard PhD takes 5 years. 6mm mortgage). S - I have 5 years exp and work in a decent org and my salary just hit 22 lakhs this appraisal cycle. They can also direct others on what to do. They are going to be seduced, incentivized, encouraged, whatever, to jump ship. 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. But wondering how industrial researchers cope with burnout, and how the workload measures up with a software engineer's workload. Generally, you would have some understanding of the math behind ML to be able to design a good solution and debug it. Sad to say, those high US salaries you often see around here are almost non-existent. etc. 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). Employer - Accenture YOE - 5 Years Specialization - Salesforce Developer Title - Application Development Senior Analyst Compensation - Base Pay - 14,58,000 Variable - 3,06,000 We would like to show you a description here but the site won’t allow us. I have about 8 years of experience as a data scientist/ML engineer. Google bands are really wide, the peak before 300 is L4 and the 400 mark is L5. Like, engineers working on AI at Google/OpenAI are gold. First, don’t compare absolute numbers. I've seen GitHub hiring not that long ago too. 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. Start moving chunks into Python. Nobody counts equity and bonus comparing full time and gig jobs. Hell, even research jobs aren't that much higher (which usually requires a Ph. 3mn. And that is just the base salary assuming that you didn't get any raises or promotions. Note that it's not a great place for career growth. If you do a quick google search, then you will see that Data Scientist/ML Engineers make more salary at an entry level role… Top companies (google, Uber, coinbase) do offer a total compensation of 70-80 lpa which includes base salary of ~40, bonus of 5-10 and stocks worth 20-30 per year. Eager to share career tips from my journey. Is a scientist's job more work/stressful than a grad student's? You get what you put into it I suppose. Facebook has 2 apps for 2 million each, while Google's highest paid H1B is only making $1. 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. And just 2/10 models (rough statistics) could do smth when the remaining means nothing at all. The ML knowledge is just there in case it is needed, which is only like 10% of the time lmao. My second job ever was on a data engineering team (our title was software engineer, though, this was 2015-2017) and it was standard homegrown ETL kind of work. I wanted to understand the difference between ML/AI in top banks Vs. We would like to show you a description here but the site won’t allow us. 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. 5YOE. I’m curious what people were able to do in this circumstance. The “Most Likely Range” reflects values within the 25th and 75th percentile of all pay data available for this role. You won't have a lot of options for an ML engineer position in Qatar. (For reality check - just Google employs more than 2500 people in Zurich and you have only 270 total samples. However, their salaries vary depending on the factors such as experience level, location, and skills. 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. Assuming they get summer funding either through the dept or a grant (pretty much always happens), it's more like 160k. They know how to prepare the data to feed into a ml algorithm. in Machine Learning with 10 years of industry research experience. I managed to get a job interview for a company in Barcelona scheduled for next week. Regarding roles as a fresher for ML Engineer/Data Analyst/Backend engineer/Data Science/Tech. At least looking at the market. Neither microsoft nor google gave him a return offer. I have been working as an ML Software Engineer for 5 years. From what I hear, a DS at FAANG companies are usually glorified analysts. If you could… The only companies that really employ Data Engineers, en mass, are large tech companies. I have worked in multiple companies and at different scales. 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. Jobs at companies like Netflix, Match Group, Amazon, and Walmart advertise base salaries from $250k to $400k. Toronto, Vancouver pays the best. Around that time startups were hiring data engineers to do both regular DE things and also to handle all data needs for AI teams, if they have them. - Total compensation with bonuses and stock grants can be much higher than base salaries. Not specifically FAIR /DeepMind, but more generally, Google research or Amazon Science as an organization. Now count in Google, Apple, Facebook, Amazon, Netflix, etc. At smaller companies, the titles data engineer, ML engineer, DS, and sometimes even data analyst often overlap in responsibilities. After learning your foundation from Andrew Ng's course or equivalent, pick either MSFT, Google or AWS and learn their cloud ML offering. Is it a research internship or a software engineering one? Here are some examples of past and present ML engineers in industry. Basically the title. I am considering relocating to London soon. P. You'll learn more as you encounter problems you'll need to solve on projects. There are fantastic ML engineers from all subspecializations working in Europe and making 🥜s. Like building the plumbing for the ML model. If you only have bachelor's then you need a lot of experience (5+ years) to get shortlisted. 000CHF yearly, so that levels thing is highly skewed towards a few well paying companies. I am currently an junior “MLE” and most of the work is Software engineering. After 4 years of analyst experience at an adjacent field and 2 years of a Masters degree in Statistics to transition to DS, I'm barely making over 100k. I'm an ML engineer with 3 years of experience in ML and had a team leader role for the past year. I'm keen to hear from people who have made the transition from ML Research/Engineering positions to software engineering… In a nutshell: ML OPS jobs are neck and neck with ML Engineers jobs. I then shifted to Data Engineering in a F100 company. If someone has more info, I'm also interested. 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 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. 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). 6 per cent to an all-time high, according to an annual tech salary report released on Tuesday. Company/Industry: SF-based Unicorn Average salary for a software engineer in Dublin in around 60-65k. That's enough to live well in Ireland. S. In 2022, salaries of software engineers in Singapore surged 7. ML engineers are not typically the people making decisions, they have senior ML engineers, teamleads, principal ML engineers, stakeholders, product owners, sprint planning etc. (Disregarding FAANG outliers). Both pay 15-40% more than Data Science jobs Source… I have an interview for the position of ML Engineer at a startup in Zurich. levels. As a working ML engineer, your work is dictated by the current project. Facebook/Google round out the top 10 for Software Engineering salaries in H1B, presumably this is for top tier ML talent/leadership. But the demand on a DE is huge! the strongest Indian friend I have has 5 publications with 2 in top conferences, has internships at microsoft n google, has connections in them as well, has outstanding grades n graduated with a MS in AI. Your RSUs (stock) will vary depending on company and how well your stocks are doing that year, but for L5/E5 expect 120k-200k. I work as a software engineer in machine learning mainly for R&D computer vision models. Every problem is unique and it requires skill to formulate it as a machine learning problem. CSCareerQuestions protests in solidarity with the developers who made third party reddit apps. And FAANG engineers in the US are < 5% of total ML engineers in the US, let alone the world. Erik Bernhardsson - Previous head of ML at Spotify, and organiser of New York’s ML Meetup. At current inflation rate and scarcity of ML engineers I think junior should be paid 65-75 in cities with avg cost pf living. What I found interesting was even during "hiring freezes", FAANG made an exception for senior level ML engineers. 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) The standard E5 (senior engineer) offer for FB London is slightly over £100k base salary and around £180k total comp. The term AI engineer and ML engineer gets thrown around a lot these days. 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 Apr 10, 2025 · The average Machine Learning Engineer base salary at Reddit is $174K per year. Hey folks. 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. AMA 15 votes, 17 comments. 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. A complete history of jobs leading up to your current position. The median salary for a position like this, with 4-6 years of experience should be around 20k Some of the best paying employers that have cutting edge ML also provide quite flexible employment terms. Silicon Valley companies usually pay well. Pero I heard po na hindi po entry-level friendly ang career na 'to, so hihingi po sana ako ng advice sa path na kailangan kong itake to be able to secure being an AI Engineer in the future (things I should learn/study, entry-level career paths I should take that can help me learn more and lead me to being an AI engineer, etc. Salary? Experience? Which year in school? Company name or location if you wish to disclose. 2011: Lab assistant, $9. So there is nothing special about working at FAANG, IMHO. Not saying that they're common in the US either, as I'm sure they're more focused around the tech-hubs. Apparently OAI pays 1M for senior people, but those roles are few and far between. Though these salaries are way low than US salaries 25 votes, 34 comments. At the senior/staff/senior staff level this could easily be 4-500k/7-800k/1M at a FAANG. A Data Scientist cleans data, does data mining, feature engineering, and the like, building models. You can try QCRI or HBKU. There are many who don't make that much. ML is already oversaturated but not by people who are able to answer companies' needs. Thanks! This does seem low indeed if you factor in cost of living in Zurich. Engineers usually cap in the 220k-240k base salary range, where upper management base salary caps around 300k, and both will be getting hefty bonuses, RSU, and other stock options. Source: (MLE and tech lead now, 7+ YOE, made $125k at ~2YOE in a similar area. 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. 60k is very good. 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. This position focuses more on backed handling large data, automate certain ML processes, etc. 800k is really really rare On the other hand I've also seen posts on reddit claiming $300k+ salaries straight out of PhD. 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. Google salary trends based on salaries posted anonymously by Google employees. From here, you can slowly gain ML knowledge and transition to ML engineer. The thing most people don’t realize is that salaries even within the same company will fluctuate based on location. View community ranking In the Top 1% of largest communities on Reddit. A simple Google search tells you the US median salary (base) of ML engineers comes to the range I mentioned hourly. Don't be afraid to start in another position different than Data Scientist/ML Engineer. It's a fairly large company with two branches one in Spain and the other in Germany. The thing is these large tech companies pay their data engineers extremely well, BUT most of them pay their software engineers a little bit more. 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. Make two or three resumes. Nothing against bootcamps, but you'll see very few bootcamp grads or self-taught people in ML Engineering. true. As long as you can make a down payment and live on $7k/month excluding housing you can afford a 2mm house (1. But it is still low compared to what an AI/ML engineer at Google makes. As an ML engineer at Reliance Jio with one year of experience, I am constantly thinking about my career growth and salary prospects. I am a senior data scientist (ML engineer). Could you advise where to look? Thanks a lot! Choose features using domain knowledge. A $250k engineering job at FAANG in San Francisco will only be about $100k in Tokyo, but your pay band will be the same percentage. Reply reply More replies More replies AutoModerator Most of those undergrads wouldn't be able to cut it as ML research engineers at Google, but they probably could get an ML or DS job at a smaller company. The Facebook peaks are at L4, L5, L6. Moreover I believe basic data engineering should be the very first thing any ML or data science practitioner should have as their essentials. I've been a "predictive modeler", a "data scientist", and am now a "machine learning engineer". An average software engineering role in a generic big tech company (Google, FB, etc. But even without that seniors aren’t typically getting that. With bonus, You should shoot for at least 140k. Yes one can learn the newer modules and get slightly higher salaries. People in my program have gone on to work at Amazon, and a few Google, but these were all applied scientist and engineering Google the number of employees at Microsoft: 182k! Let's say there are at least 70k engineers in there. ) Salary-wise, 2 years experience + PhD would put you around 120-130k base at a large company (e. 45-55k is still good. Their models may or may not use ML and when it does use ML it is generic ML from a library like XGBoost. Base salary will reach 200k-ish at L5/E5 level. Work with SW engineers to ensure smooth deployment. Set up 8 meetings to undo whatever spaghetti code mess they made. From this job, they can earn between ₹ 20,00,000 and ₹30,00,000 per annum, but they can rise up to ₹ 50,00,000 per annum. I got an offer from META for a senior machine learning engineer position recently. 6 Is a prep course for the certificate. Offers are in USD unless otherwise stated. Hello, I have a Ph. Software compensation is sort of bimodally distributed in that the big/selective software companies (facebook, google, amazon, uber, etc) pay significantly more than the smaller/older/less selective companies - E. I would guess minimum 30-40LPA, i mean having experience in ML and DL itself is pretty good since there's a good demand for people with work Ex in Working and deploying ML/DL models due to this whole LLM fiasco. Prior Experience: Unpaid SWE internship . 17 votes, 33 comments. Tech from a top IIT or IISC is essential. 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. It will be extremely competitive though. I have a PhD and over 3 years leading a small data science team and over 10 years of DS experience. The Azure AI engineer certificate is more about being able to use the various APIs than doing "classical" AI work. 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 Tensorflow and Keras make it pretty easy to get started with ML engineering. The ML Engineer handles large, complex datasets and creates repeatable, reusable code. 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. Exceptions would be the offices of large US tech-companies (Facebook, Google, . 40k and less is bad. a quant role. Salaries from 250-500k+. Responsibilities: Provide domain expertise in cloud computing security, compliance, and security best practices. Why is there a variable called "prediction_for_real_this_time". Presently e-commerce and social media companies are the main employers in computer vision domain. Recently, I have been hearing that to earn a salary of more than 50 Lakhs per annum as an ML engineer, an M. 81 votes, 52 comments. Everything pertaining to the technological singularity and related topics… Hey thanks for these links. Source: I have been to some subset of these schools and they release yearly salary statistics about the graduating class. I landed a decent job at a consultory firm and then the DS offers started to appear. There is no typical 9-5 as the workflow for model development changes as the project needs change. 2. It's more catered towards software developers than DS/AI folks. 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. It's not an entry-level job, and those are entry-level pathways. Salaries above 1000 man are realizable at companies of a certain size and past a certain seniority level. I did two (remote) ML research internships at NVIDIA and Facebook since the beginning of my PhD and monthly salary was 8-10k CAD + 1k stipend for housing. 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. com meetup; Jeremy Hermann - Head of Machine Learning Platform at Uber, and previous Head of Data Infrastructure ; Reena Philip - Engineering Manager at Facebook Applied ML Highest salaries will be from big tech companies with offices in São Paulo. Depending on what kind of data science you want to do, you might also check salary quotes for ML-specialized software engineering or product analyst. So as the question implies, is it good to be a data engineer to become an AI/ML engineer or I can straightaway join one, a… I'm currently working as a software engineer in the data science team at a top investment bank. Pay wise I think Ai/ML might be more than software engineers but it's not that large a difference A Professional Machine Learning Engineer builds, evaluates, productionizes, and optimizes AI solutions by using Google Cloud capabilities and knowledge of conventional ML approaches. How is it possible to make more after moving on from Google in AI/ML? According to salary. However it seems a bit hard to find reliable salary figures, it can be anything from 8-40k RMB per month it seems. Hi, I had been working in Robotics for past 4 years. What would be the expectation at a smaller start up compared to those companies. Mostly my work is focused on research, implementations, and optimizations. fyi and blind are filled with posts of people making $250k, $400k, doing regular developer jobs - these are not managerial or architect roles. What is a reasonable range of salary I can ask? I was thinking 50K-55K €. g. Technologies: •Python •Apache Spark •AWS •ML libraries (mainly PyTorch) Education level: M. 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. There's one small team doing ML, but they haven't produced anything useful in two years and no one cares. Perform evaluation trial and demonstrate gains of ML vs human. Your two options are 1) formal education, or 2) 5ish years as a backend engineer working on an ML product. Unfortunately those jobs generally don't involve much model building work anyway and those people will probably spend more time wrangling data pipelines than building new models. Hi, I heard that, for software engineering, having Google on a resume add a lot of prestige when you apply elsewhere. Which path would align better with my long-term goals? Apr 10, 2025 · Average salaries for Google ML Engineer: $160,772. 39 votes, 33 comments. 5 oddly focuses on AI and ML deployment. So if you compare $60K vs $120K for 5 years, that's already $300K you are not making while you are doing your PhD. Can someone shed light on the salary ranges in FAANG companies in London for senior ML research roles? In the U. 10 votes, 18 comments. But average pay for roles like prompt engineers is around $130k total. Hence thought of making this post. (For my girlfriend) I can Google mean and median salaries for myself ($140k for “Senior Data Scientist”, $160k for “Senior ML Engineer”), but what salary would you ask for if: • Current gross salary $110k • DC area • Govt contractor • 4+ years of experience • manages a team of 3 now even though when she started at her current salary she didn’t • wrote a white paper about I started my ML journey in 2015 and changed from software developer to staff machine learning engineer at FAANG. Junior quant researcher at a buy-side finance firm pays ~400K+/year for new grads (includes guaranteed year-end bonus). Extreme example would be Google who prefer masters/PhD candidates for machine learning roles. A Machine Learning Engineer takes a model then chooses a more advanced ML for the job. If it pays similar in Montréal, that's heaven! Posting so that other don't feel bad seeing those high salaries. They currently have tens and tens of each data science discipline. That's because for large systems (i. 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. Freshman year of college. Both pay 15-40% more than Data Science jobs About the dataset: Job descriptions indexed by the Data Science job hunter in the period June-September 2023, worldwide. 150k vs 75k for new grads. Which, I often find data engineers want to do, but rarely get to. I am not a data scientist, but I can do data analysis and data engineering. This is for folks with 3-5 years of experience (L4/SDE-2) Jul 9, 2024 · Senior-Level (5+ years): Senior ML engineers indicate more experience with a salary that is much higher than the average, especially among those with over five years of experience. The big Amazon peak is the overlap of the high end of L5/PM and lower end of L6/senior PM. I m a consultant in a different field but with some ML skills. e. ) 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. 964 votes, 223 comments. 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. ). To a potential employer, when it comes to these cloud certs anything beyond the basic fundamentals need to be backed up by experience. $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). For computer vision applications, the jobs are relatively low compared to NLP and more research oriented. 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. Filter features using ML knowledge. You might get taxed a lot less though, which is nonnegligible. 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. 303 votes, 282 comments. 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. Fit whatever model gives a credible perf in ML terms and business terms. Data Scientists do not specialize in advanced ML. Here's the article on Netflix offering $900K for AI/ML jobs while writers are on strike. Fresh AI developer on the job market. This was a campus job where I 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. Someone like you might get a senior software engineer role for a salary of around 20k-30k QAR a month. 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. It's a smooth-ish curve after that because Amazon salaries cap somewhere around 160k, so the remaining amount is stock refreshers. As a new grad in Munich, >70k is faang/tier2-level. Thanks :) Saw someone do it last… ML Engineer: Yells at data scientist because they built their whole model in one single jupyter notebook with a bunch of poorly named csv files, no functions, no documentation. 2) This is price for having opportunity to check new area without leaving well established job with likely high salary. Second this. So I don't want people to be disappointed thinking they are going to get to do AI and ML work as a DE. There are at least 200k engineers in total. Loan, taxes and fees on 1 mil house with 800k mortgage is ~$5k. I used to think that being a Robotics Engineer I can have the same salary range as of a Machine learning engineer if not above considering robotics is the next big thing and there are not as many skilled robotics developers. I'm feeling pretty jaded as a data analyst who's getting priced out of a HCOL tech city. 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 Where I am located (Norway), ML and AI jobs pay maybe 20% more than software engineering jobs. All they do is use dashboards. You'll pay 20% on the first 43k and 40% tax on the rest. According to the job description, it is 70-100% remote (in Europe only). It may have been different when ML hype was (re-)spinning up ~10 years ago but is definitely not the expectation now. 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 Hey Cidan, Will this role fall under SA or CE at Google Cloud?. 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. I basically work on feature engineering and ML techniques to solve business problems (fraud detection in financial markets). Google L4 research scientist (new grad PhD) is USD ~300K/year (includes annual RSUs, which is basically cash). For me, the biggest issue, was breaking that "Your degree sounds weird for a Data Science/Data Engineering position" stigma. 283 votes, 85 comments. It's meant for ML Engineers who are already doing ML Engineering and progressing to the certification after 2 years or so. A software engineer with 5 years of experience could be making $150K or even more as base salary. D. The salary is good for 2. He is now working at the fortune 40 company at a base salary of $100k. So It’s a smaller sample size, selected from higher paying companies. 25/hr. 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. So with inflation, that seems like a decent salary and above what we pay our MLEs at that YOE at my current company). Sure some seniors are pulling in 300-400k but they are some of the best. For instance, the highest salary of an ML engineer in a New York state department/ new york trust company is nearly 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). The average additional pay is $41K per year, which could include cash bonus, stock, commission, profit sharing or tips. Your ML/AI resume should not look like a data analyst or data engineering resume. Regardless if you are engineer or management, making that much money is usually some sort of capped salary and given a lot of bonus and stock. First hand experience of this and boy it was bad. So my question is: is ml career worth doing it or I've already lost without even starting. in STEM field My salary now is 86000 euros in Germany and I have been considering moving to Switzerland but couldn’t find anything in the range of 150-170k in Switzerland other than Google. . Applied Scientists, ML Engineers, ML Scientists are paid about $100K-130K CAD base + stock options / RSUs / Bonus extra for new grads. Sap consultants make much lesser in comparison. Salary Comparison at Google: UX Designers ($315k) vs. zwlh bebc eaguyv oilugzhy upb exrpa cfs btfh ojo mem pitocdf hmnwtu fyc urjsi yfs