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This is the Golden Age for advanced tech talent. Want proof?
Last week, the New York Times had a post, “Tech Giants Are Paying Huge Salaries for Scarce A.I. Talent,” about, well, how tech giants are paying huge salaries for artificial intelligence talent.
The NYTimes post points out that Silicon Valley has always been a place to get rich. But usually you had to wait at least a couple of weeks until an IPO, or Google acquired your startup.
Now, according to the Times:
“Typical A.I. specialists, including both Ph.D.s fresh out of school and people with less education and just a few years of experience, can be paid from $300,000 to $500,000 a year or more in salary and company stock, according to nine people who work for major tech companies or have entertained job offers from them.”
The post goes on to say that top talent can expect “single- or double-digit millions over a four- or five-year period.” Which is by our math the same as $500k per year. Then there’s the former Google self-driving-car project executive who took home $120 million in incentives before jumping to Uber’s AI Labs in San Francisco.
You’re not going to get that deal in Europe. But by European standards, there are plenty of jobs out there that – if they don’t pay millions – still pay extremely well and are rewarding. (It’s here we’d like to point out something Don Henley once told us: “You don’t see no hearses with luggage racks.”)
We know that BMW and other car companies have stood up research centers on self-driving cars, which is the sector that most needs AI and machine learning talent. But when we check their job openings, all those jobs are listed in German only. Our raison d’être, of course, is the global mobility talent, and we’re working for you, English-speaking expats.
We did find a ton of career opportunities in AI in Germany, especially in Munich with companies such as Samsung and Intel. But alas, no automakers … yet. Check back. They’re coming.
Meanwhile, check out these, which require the latest tech skills.
• The holy grail of artificial intelligence research is London-based DeepMind, which was acquired by Google in 2014. If you recall, DeepMind created the AlphaGo technology that defeated a human in Go, the game with an almost infinite number of moves.
If you think you have what it takes, DeepMind has a number of open positions in London including:
• Research scientist (applied machine learning) who will research how to make machine learning (particularly reinforcement learning, deep learning and generative models) more applicable to real world problems, according to the DeepMind website.
PhD in computer science, mathematics, physics, electrical engineering, machine learning or equivalent
Proven knowledge of machine learning and/or statistics.
Flexible in choice of programming language. Competent in one or more of the Google supported languages (C++, Java, Python, Go) with a desire to learn more.
Experience with implementing numerical methods and data visualization.
Good knowledge of algorithm design.
• Google itself is, of course, huge in AI and machine learning, and it looks like the best Google research jobs in Europe are based in Zurich, which makes sense. As we always say, universities drive the innovation centers and in ETH Zurich, Switzerland has one of the finest in the world.
We saw no fewer than 38 positions open, with several requiring expertise in machine learning, AI or some exotic technology.
This was just posted:
Participate in cutting-edge research in machine intelligence and machine learning applications. Develop solutions for real world, large scale problems.
PhD degree in Computer Science, related technical field or equivalent practical experience.
Experience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence).
Programming experience and proficiency in one or more of the following: C, C++, Python.
Experience contributing to research communities and/or efforts, including publishing papers at conferences (such as NIPS, ICML, ACL, CVPR, etc.).
Other positions in Zurich include iOS software engineer, technical program manager for NLU, machine intelligence and software engineer, Android TV.
• Amazon is opening an AI research hub in Tübingen, Germany, it’s fourth! (Tübingen, Berlin, Dresden, and Aachen.)
The Tübingen R&D hub is Amazon’s first German center focused on visual AI research. Amazon execs are promising more than 100 “highly qualified” jobs will be created during the next five years, according to multiple media outlets.
This is part of a 2016 German “Cyber Valley” initiative to focus robotics, machine learning and computer vision. In addition Amazon, Porsche, Daimler, BMW, and Bosch are involved.
Using the magic of our LinkedIn Premium account, we searched for – but didn’t find – any Amazon jobs listed for Tübingen. But we found several positions related to deep learning and AI in Berlin.
For example, this was posted six days ago:
Senior Solutions Architect, Berlin
· Deep experience with Machine and Deep Learning and integration of AWS services into large-scale production applications.
· Data science background and experience manipulating/transforming data, model selection, model training, cross-validation and deployment at scale.
· Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and Torch.
· Proficiency with programming languages such as Python, Scala and R.
· Understanding of AWS Services such as S3, Lambda, ECS, Batch and Green Grass. Use of AWS in production a plus.
• We also found this tech bizdev manager position.
The listing on the Amazon careers site states that the candidate will have both technical and business acumen; “5-10 years of experience in business development transactions, real estate transactions with significant technical components, site selection, economic development, and/or program/product management experience; and familiarity with infrastructure development and operating environments.” Oh, and be able to demonstrate a successful history of negotiation and deal-making experience.
But that’s not all!
We also stumbled into a number of jobs in Munich related to Amazon Prime Video including this senior marketing manager position.
Amazon is well on its way to being one of the largest tech employers in Europe.
• Yeah, AI and deep machine learning are sexy. But finance also is in transition from bean counting and spread sheets to a becoming a digital business sector.
N26 needs someone to be their head of banking in Berlin. Which sounds like a pretty cool job to us if for no other reason than N26 is Europe’s first mobile bank with a full European banking license.
They are the darling of the FinTech world. And they’re for real.
From the N26 website:
Founded in 2013 by Valentin Stalf and Maximilian Tayenthal, N26 has more than 300 employees and more than 500.000 customers in 17 countries. N26 has raised more than $55 million from investors including Li Ka-Shing’s Horizons Ventures, Battery Ventures and Valar Ventures, in addition to members of the Zalando management board, Earlybird Venture Capital and Redalpine Ventures.
So, you know your paycheck won’t bounce.
This caught our eye on the list of requirements:
Beginning with your first day, you assume responsibility for ongoing procedural topics in relation to our banking platform that you complete precisely, flawlessly, and diligently.
Here are the major expectations under “your profile”:
You already gained at least 7 years retail banking experience (ideally in direct banking) with a proven track record on operational excellence and/or process automation
You have successfully completed a banking apprenticeship or hold a university degree in business studies (with major in Banking & Finance) or a related field
You possess deep knowledge of some of the following banking processes:
Claims & insolvency
Dunning & collection
You have a good understanding of German / European Banking laws, standard banking requirements as well as banking IT-Systems
In return, N26 gives you a “high degree of autonomy” (something we’re thinking you’re not going to get at a whole lot of Germany companies), a newly designed office in the middle of Berlin and “probably the best cup of coffee in the neighborhood.”
The best cup of coffee … well, there you go. You have to apply now.
• One of the rising stars in fintech is Raisin, a Berlin-based online brokerage for financial services, specifically savings. Raisin has raised 60 million from investors since 2013.
They have 24 open positions including:
Senior Test Automation Engineer
You have completed your studies in computer science, business informatics or a comparable subject
You are familiar with Agile software development and QA processes
You have several years of experience in Test Automation using tools such as Selenium/Web Driver, JUnit and TestNG
You have strong knowledge of programming in Java
You have some experience in UNIX and in scripting on UNIX systems
Experience in using tools such as Jira, Git, SVN, Maven, and Jenkins is desirable
• Finally, we know you’re thinking, “Gee, funny there isn’t a listing for a job that combines AI and fintech ….”
Ah, but there is!
Amsterdam, like Berlin, is one of Europe’s AI centers. So it would stand to reason that ING has created a Data Science team with expertise in machine learning and AI to support the bank’s global operations.
ING needs a chapter lead data scientist who can make that happen, managing data scientists in Amsterdam and Frankfurt.
· Expert in Machine Learning. As Chapter Lead you are responsible for managing, challenging and inspiring the team of Data Scientists content-wise on Machine Learning topics.
· Excellent relationship manager. As the team is part of the head-office and no hierarchical or functional reporting lines exists to other analytical departments, it is important that the Chapter Lead is capable of developing strong business relationships with the different departments.
· A true machine learning evangelist. The Chapter Lead must have a clear vision on how Machine Learning can be best applied in the organisation.
· Should manage the daily operations of the team. The Chapter Lead is responsible for recruiting, capacity management, people development, budget, operational and modelling decisions.