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Tim Cook addressed graduates of Stanford University yesterday. Notably, Apple co-founder and college dropout Steve Jobs delivered one of the best commencement addresses I’ve heard thus far fourteen years ago, also at Stanford.
Here are the key excerpts from Cook’s speech.
On privacyIf we accept as normal and unavoidable that everything in our lives can be aggregated, sold, or even leaked in the event of a hack, then we lose so much more than data.
We lose the freedom to be human.
Think about what’s at stake. Everything you write, everything you say, every topic of curiosity, every stray thought, every impulsive purchase, every moment of frustration or weakness, every gripe or complaint, every secret shared in confidence.
In a world without digital privacy, even if you have done nothing wrong other than think differently, you begin to censor yourself. Not entirely at first. Just a little, bit by bit. To risk less, to hope less, to imagine less, to dare less, to create less, to try less, to talk less, to think less. The chilling effect of digital surveillance is profound, and it touches everything.
What a small, unimaginative world we would end up with. Not entirely at first. Just a little, bit by bit. Ironically, it’s the kind of environment that would have stopped Silicon Valley before it had even gotten started.
We deserve better. You deserve better.
On being a builderHe encouraged students to be builders in their lives.
Whatever you do with your life, be a builder. You don’t have to start from scratch to build something monumental.
And, conversely, the best founders, ones whose creations last, and whose reputations grow rather than shrink with passing time, they spend most of their time building piece by piece. Builders are comfortable in the belief that one day their life’s work will be bigger than them. Bigger than any one person. They’re mindful that their effects will span generations. That’s not an accident, and in a way, it’s the whole point.
On Steve JobsCook initially refused to believe that Steve was terminally ill.
When Steve got sick, I had hardwired my thinking to belief that he would get better. I not only thought he would hold on, I was convinced down to my core that he’d still be guiding Apple long after I myself was gone.
Then one day he called me over to his house and told me that it wasn’t going to be that way. Even then, I was convinced he would stay on as chairman. That he would step back from the day-to-day, but always be there as a sounding board. But there was no reason to believe that. I never should have thought it. The facts were all there. And when he has gone, truly gone, I learned the real visceral difference between preparation and readiness. It was the loneliest I’ve ever felt in my life by an order of magnitude.
It was one of those moments where you can be surrounded by people, yet you don’t really see, hear, feel them. But I could sense their expectations. When the dust settled, all I knew was that I was going to have to be the best version of myself that I could be. I knew that if you got out of bed every morning and set your watch by what other people expect or demand, it’d drive you crazy. So what was true then is true now. Don’t waste your time living someone else’s life. It takes too much mental effort; effort that should be dedicated to creating or building.
On life and deathCook said he never felt lonelier in his life than after being named Apple’s CEO shortly before Jobs’s passing, saying “your mentors may leave you prepared, but they can’t leave you ready.”
Graduates, the fact is, when your time comes, and it will, you’ll never be ready. But you’re not supposed to be. Find the hope in the unexpected. Find the courage in the challenge. Find your vision on the solitary road.
Don’t get distracted.
There are too many people who want credit without responsibility Too many who show up for the ribbon cutting without building anything worth a damn. Be different. Leave something worthy. And always remember that you can’t take it with you.
You’re going to have to pass it on.
“Fourteen years ago, Steve stood on this stage and told your predecessors, ‘your time is limited, so don’t waste it living someone else’s life.’ Here’s my corollary: You mentors may leave you prepared, but they can’t leave you ready.”
Cook’s prior commencement addresses include Tulane University last month, his graduate alma mater Duke University last year, MIT in 2023, George Washington University in 2023 and his undergraduate alma mater Auburn University in 2010.
How do you like Cook’s latest speech?
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Tim Cook Delivers Tulane Commencement Address, Talks Climate Change And His Journey To Apple
As announced back in February, Tim Cook today delivered the commencement address for Tulane University at the Mercedes-Benz Superdome in New Orleans. During his speech, Cook told the story of his journey to Apple, talked about climate change, and encouraged the Tulane graduates to make a difference in the world
Prior to his speech, Cook was awarded an honorary degree from Tulane. The Apple CEO was praised for transforming “Apple into the archetype for success and innovation in the realm of technology.”
Cook opened his speech by calling on the Tulane graduates to be more open to others, and recognize the problems that others face:
Building on that, Cook elaborated on the story of how he originally came to Apple, invoking Steve Jobs’ commitment bringing powerful technology to more people. Cook explained that at the time, he had a stable job at Compaq, which seemed like “it would be on top forever.” Apple, on the other hand, was on the verge of bankruptcy:
“I had a comfortable job at a company called Compaq, that at the time looked like it was going to be on top forever. As it turns out, most of you are probably too young to remember its name. But in 1998, Steve Jobs convinced me to leave Compaq behind and join a company on the verge of bankruptcy. They made computers, but at that moment at least, people weren’t interested in buying them. Steve had a plan to change things. It wasn’t just about the iMac or the iPad, it was about the values that brought these inventions to life. The idea that putting powerful tools in the hands of everybody can move society forward.
We can build things that help us imagine a better world, then make it real. There’s a saying that if you do what you love, you’ll never work a day in your life. At Apple, I learned that that is a crock. you’ll work harder than you ever thought possible, but the tools will feel light in your hands.”
Cook then shifted the conversation to an issue that he has spoken about before: climate change. Cook said that in many ways, his generation was failed the graduates of Tulane. Cook noted that when it comes to climate change, it doesn’t get easier based on who wins an election. He also pointed out that “we don’t build monuments to trolls, and we’re not going to start now. ”
In some important ways, my generation failed you.
“We spent too much time debating, too focused on the fight and not enough on progress. You don’t need to look far to find an example of that failure. Here today, in this very place, in an arena where thousands once found desperate comfort from a hundred-year disaster, the kind that seems to be happening more and more frequently, I don’t think we can talk about who we are as people without talking about climate change. This problem doesn’t get easier based on who wins an election. It’s about who has one life’s lottery and has the luxury of ignoring this issue, and who stands to lose everything. The costal communities, including some right here in Louisiana, that are already making plans to leave behind the laces theyve called home for generations and head for higher ground. The fishermen whose nets come up chúng tôi wildlife rs
These are poeple’s homes, their livelihoods. The land where their grandparents were born, lived, and died. When we talk about climate change, I challenge you to look for those who have the most to lose and find the real, true emphathy that comes from something shared. That is really what we owe one another. When you do that, the political noise dies down and you can feel your feet planted on solid ground. We don’t build monuments to trolls and we’re not going to start now.”
Cook concluded his speech by encouraging the Tulane graduates to build a better world for future generations, and make a change and focus on the major problems facing society:
“Be motivated by your duty to build a better world. Young people have chagned the course of history time and time again. Now it’s time to change it once more. I know the urgency of that truth is with you today. Feel big, because no one can make you feel small. Feel brave because the challenges are great but you are great. Feel grateful, because someone sacrificed to make this moment possible for you. Here in this stadium, I can feel this courage. Try something. You may succeed, you may fail. Make it your life’s work to remake the world. There is nothing more beautiful than working to leave something better for humanity.”
Next on the docket for Cook is Stanford University’s graduation next month. Cook is set to deliver the commencement speech for Stanford on June 16th at Stanford Stadium. Cook’s speech at Tulane was live streamed on the university’s website and can be rewatched below.
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Sun Valley 2023 Will Discuss Inflation, Future Of Streaming Video; Tim Cook Expected
Sun Valley 2023 – a conference which has been described as ‘summer camp for billionaires’ – includes Apple CEO Tim Cook among the invitees. Both Cook and Apple Services head Eddy Cue attended last year’s event.
With a heavy attendance from the media sector, one key focus is expected to be the future of streaming video, with some speculating that Netflix could be an acquisition target for at least one of the companies attending …
BackgroundSun Valley, named after the Idaho town in which it takes place, is an opportunity for tech and media companies to privately discuss matters of mutual interest.
But the conference also has a reputation for giving birth to acquisitions. While discretion is the watchword of the event, a number of mergers and acquisitions are rumored to have been prompted by discussions between CEOs at the event. Deals linked to previous Sun Valley get-togethers include:
Amazon founder Jeff Bezos’ purchase of The Washington Post
Warner Media/Discovery merger
Amazon’s planned takeover of MGM
Disney’s acquisition of CapitalCities/ABC
Netflix a possible acquisition targetDeadline reports that this year, Netflix is believed to be a potential target.
For invitees Reed Hastings and Ted Sarandos, Netflix co-CEOs, the year since Allen & Co. 2023 has made a massive difference. It stock plunged 70% from the start of the year after shedding subscribers last quarter for the first time, announcing it would lose more in the just-ended June quarter and suddenly unveiling plans to launch an ad-supported service even as it lays off staff. As a result, Netflix is increasingly seen as a takeover target — an unusual shift.
An independent Netflix “is gone,” predicted one financier. It’s a very valuable platform but “not a growth story anymore.” Hastings and Sarandos “didn’t manage Street expectations” and in one fell swoop lost a couple hundred million dollars” of market cap, he said, referring to its latest post-earnings video call when the co-chiefs discussed the subscriber shortfall.
Over the next 18 months, “the environment will be clearer,” he said.
That’s also about when buyers could consider swooping in to acquire WBD. The structure of that deal would entail a hefty tax penalty for any acquirer within two years of close.
More generally, the future of the streaming video business is expected to be one of the key discussion topics at Sun Valley.
Tim Cook again invitedApple CEO Tim Cook is again reported to be among those attending the conference.
Paramount’s non-executive chair and controlling shareholder Shari Redstone will be back. CEO Bob Bakish was invited but can’t make it. Fox CEO Lachlan Murdoch and COO John Nallen are confirmed. So is Sony Group Corp. CEO Ken Yoshida and Jim Ryan, head of PlayStation. Casey Wasserman and Mike Fries too.
Not all invitees necessarily attend. But Rupert Murdoch is a regular and Bob Chapek — a new three-year contract now in hand — was there last year. Invitees also include tech CEOs, among them Elon Musk, Apple’s Tim Cook, Meta’s Mark Zuckerberg, Amazon’s Andy Jassy and Alphabet’s Sundar Pichai.
9to5Mac’s Take on Sun Valley rumorsThe combination of Cook’s attendance and Netflix being seen as an acquisition target will inevitably lead to speculation about Apple buying the streaming media giant. This would instantly make Apple TV+ the biggest name in the streaming video market.
So far, however, there has been little sign that Apple has any interest. The strategy of Apple TV+ has been quality over quantity, with the Cupertino company focusing on original content. It’s also a very low-margin business, which would be a surprising purchase for a company whose margins nudge close to 40%. Stranger things have happened, but any speculation is somewhat on the wilder side.
Photo (cropped): Thomas Hawk (CC BY-NC 2.0)
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Apple’S Tim Cook Explains That Fbi Request Is Like ‘Software Cancer’ In Interview
Apple’s Tim Cook explains that FBI request is like ‘software cancer’ in interview
A portion of the interview is Cook reiterating much of what he said in his open letter to the public just after the news of the FBI’s demand to build a backdoor into iOS came to light. But he moves on to explain the overall significance of the situation, and that if Apple does give in to the request, it will set a dangerous precedent that will “be bad for America,” in that private user data will become victim to the threat of something that “might be there.”
“The protection of people’s data is incredibly important and so the tradeoff here is that we know that doing this could expose people to incredible vulnerabilities. This is not something that we would create. This would be bad for America and it would also set a precedent that I believe many people in America would be offended by. And so when you think about those which are knowns, compared to something that might be there, I believe we are making the right choice.
Some things are hard, somethings are right. Some things are both. This is one of those things.”
The strongest message from Cook, however, is his statement that creating the tool the FBI wants, something that would allow access to the secured data on anyone’s phone, would be “the software equivalent of cancer.”
“The only way we know would be to write a piece of software that we view as sort of the software equivalent of cancer. We think it’s bad news to write. We would never write it. We have never written it.”
Another important point that Cook brings up is the slippery slope the FBI’s argument for gaining access to a device rests on. Right now they’re saying they only want access to this one iPhone (which, as it turns out, isn’t exactly true), but what about the next time?
“f a court can ask us to write this piece of software, think about what else they could ask us to write. Maybe it’s an operating system for surveillance. Maybe it’s the ability for law enforcement to turn on the camera. I mean, I don’t know where this stops. But I do know this is not what should be happening in this country. This is not what should be happening in America. If there should be a law that compels us to do it, it should be passed out in the open, and the people of America should get a voice in that. The right place for that debate to occur is in Congress.”
We’ve shared a handful of choice excerpts and quotes here, along with a small portion of the interview embedded below, but the full thing is important to watch, so head over to ABC’s site to check it out.
Cook: What they want is, they want us to develop a new operating system that takes out the security precautions. Including the precaution that, after 10 tries, if somebody has set “erase all data after 10,” they want that to not be in there. And then they want an ability to go through a number of passwords at the speed of a modern computer.Muir: A computer would do that to figure out the code…Cook: A computer would do that. We believe that is a very dangerous operating system.Muir: Because once people know that exists, you say, the cat is out of the bag.Cook: If one of the bad guys knew that that existed, think about the target that is. Everybody would want that system. Because you could get in… It has the potential to get into any iPhone. This is not something that should be created.
“No one would want a master key built that would turn hundreds of millions of locks. Even if that key were in the possession of the person that you trust the most, that key could be stolen. That is what this is about.”
SOURCE ABC News
Fast Company Unearths Some Steve Jobs ‘Lost Years’ Wisdom
We are always surprised when writers suddenly realize they have hours and hours of unreleased Steve Jobs interviews that they forgot about so long after his passing. Fast Company’s Brent Schlender has such a trove from Jobs’ NeXT (and Pixar) years.
With that, check out the whole article here, which is summarized below (Illustrations by George Columbo).
GREAT TECHNOLOGY IS INVISIBLE June 1995“The thing that I really love about Pixar is that it’s exactly like the LaserWriter. I remember seeing the first page come out of [Apple’s] LaserWriter [in 1985]–which was the first laser printer, as you know–and thinking, There’s awesome amounts of technology in this box. There’s the graphic engine, there’s the controller, there’s the PostScript software, awesome amounts of stuff. And yet no one is gonna care and they don’t need to know; they’re gonna see this output, and they’re gonna go, I think that’s great. They’re gonna be able to judge for themselves.
“And it’s the same with Toy Story. The audience isn’t gonna care about the Pixar animation system, they’re not gonna care about the Pixar production system, they’re not gonna care about anything–except what they will be able to judge for themselves, and that’s the end result, which they can appreciate without having to understand what went into it, what went into creating it. And that, I love. ”
GOOD MANAGEMENT IS LIKE THE BEATLES October 2004“My model of management is the Beatles. The reason I say that is because each of the key people in the Beatles kept the others from going off in the directions of their bad tendencies.
“They sort of kept each other in check. And then when they split up, they never did anything as good. It was the chemistry of a small group of people, and that chemistry was greater than the sum of the parts. And so John kept Paul from being a teenybopper and Paul kept John from drifting out into the cosmos, and it was magic. And George, in the end, I think provided a tremendous amount of soul to the group. I don’t know what Ringo did.
“That’s the chemistry [at Pixar] between Ed [Catmull] and John [Lasseter] and myself. It’s worked pretty doggone well. We talk about things a lot, and sometimes one of us will want to do something that’s really stupid, or maybe not stupid but . . . oh, I don’t know . . . maybe not the wisest thing in the long run for the studio. And, you know, at least one of the other two will say, ‘Hey, you know, I think there’s a better way to do that.’ So we’ll all slow down and think it through, and we usually come up with a much better way.”
THE THINGS JOBS MISSED THE IMPORTANCE OF THE NETWORK July 1991“The last few years at NeXT, I’ve gotten a little better glimpse of what I really saw at Xerox PARC [in 1979], which was two things. One blinded me to the other because it was so dazzling. The first, of course, was the graphical user interface.
“The second thing I saw–but didn’t see–was the elaborate networking of personal computers into something I would now call ‘interpersonal computing.’ At PARC, they had 200 computers networked using electronic mail and file servers. It was an electronic community of collaboration that they used every day. I didn’t see that because I was so excited about the graphical user interface. It’s taken me, and to some extent the rest of the industry, a whole decade to finally start to address that second breakthrough– using computers for human collaboration rather than just as word processors and individual productivity tools. ”
THE MERGER OF TELEVISION AND COMPUTERS October 1998“I don’t really believe that televisions and computers are going to merge. I’ve spent enough time in entertainment to know that storytelling is linear. It’s not interactive. You go to your TV when you want to turn your brain off. You go to your computer when you want to turn your brain on. Those are not the same thing.”
THE POTENTIAL FOR MUSIC SUBSCRIPTION SERVICES April 2003“Nobody wants to subscribe to music. They’ve bought it for 50 years. They bought 45s, they bought LPs, they bought 8-tracks, they bought cassettes, they bought CDs. Why now do they want to start renting their music? People like to buy it and they like to do what they damn well please with it when they buy it.
“The rental model is a money-driven thing. Some finance person looked at AOL getting paid every month and said, ‘I’d sure like to get some of that recurring subscription revenue. Wouldn’t that be nice?’ It’s certainly not a user-driven thing. Nobody ever went out and asked users, ‘Would you like to keep paying us every month for music that you thought you already bought?’”
THE PAYOFF OF A GREAT EMPLOYEE June 1995“In most businesses, the difference between average and good is at best 2 to 1, right? Like, if you go to New York and you get the best cab driver in the city, you might get there 30% faster than with an average taxicab driver. A 2 to 1 gain would be pretty big.
“The difference between the best worker on computer hard-ware and the average may be 2 to 1, if you’re lucky. With automobiles, maybe 2 to 1. But in software, it’s at least 25 to 1. The difference between the average programmer and a great one is at least that.
“The secret of my success is that we have gone to exceptional lengths to hire the best people in the world. And when you’re in a field where the dynamic range is 25 to 1, boy, does it pay off.”
HOLLYWOOD VS. SILICON VALLEY June 1995“Hollywood and Silicon Valley are like two ships passing in the night. They are not trading passengers. They speak a different jargon; they have grown up with completely different models for how to grow a business, for how to attract and retain employees, for everything. They’ve grown up with completely different role models, and so the people think entirely differently. I mean, when you’re in Silicon Valley, you don’t have to explain Silicon Valley to anyone else because everybody’s here and understands it. And the same is evidently true of Hollywood–neither side can explain themselves to the other very well at all.
“These are parallel universes that have less in common than one would think. What I like in Silicon Valley is to hang out with the engineers. What I like about the people I’ve met from Hollywood are the creative people. They’re the heart of Hollywood, not the people driving around in their Mercedes SLs talking on their cellular phones and making deals, the agents and stuff; I couldn’t care less about that–that’s not Hollywood to me.
“The part of Hollywood that we have attracted [at Pixar] is the creative side, the creative talent. We value that exactly equally with the technical talent.”
BUILDING A COMPANY IS A MARATHON June 1995“Pixar has been a marathon, not a sprint. There are times when you run a marathon and you wonder, Why am I doing this? But you take a drink of water, and around the next bend, you get your wind back, remember the finish line, and keep going.
“Fortunately, my training has been in doing things that take a long time. You know? I was at Apple 10 years. I would have preferred to be there the rest of my life. So I’m a long-term kind of person. I have been trained to think in units of time that are measured in several years. With what I’ve chosen to do with my life, you know, even a small thing takes a few years. To do anything of magnitude takes at least five years, more likely seven or eight. Rightfully or wrongfully, that’s how I think.”
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Artificial Intelligence Jobs In 2023
Artificial intelligence jobs are not a new phenomenon, but the AI job market is growing as AI market itself is seeing rapid expansion. According to research firm IDC, AI is currently seeing an annual growth rate approach 40 percent.
Amid these changes, AI job titles have changed and expanded – and AI paychecks are heading skyward. Earlier roles were “statistician” or “mathematician,” while today you’ll hear newer terms like “data scientist” and “predictive analytics expert.”
The rapid emergence of new AI titles reflects the fact that AI has become practical for mainstream use as the result of affordable cloud computing and storage costs, a change from prohibitively expensive supercomputers. The growth of AI companies and the expansion of related technology like machine learning has expanded AI job titles.
Similarly, some of the AI algorithms used today have existed for several decades, but until recently, they lacked the volume and richness of data required to drive value. Now there are many different types of AI jobs or roles available, some of which merely add “AI” to an existing title (e.g., “AI developer”). Others reflect different aspects of AI (e.g., “data engineer,” “algorithm developer” or “machine learning scientist”).
For the purpose of this article, AI job titles, their general job descriptions and their salary ranges are limited to technical titles.
Also see: The Pros and Cons of AI
A typical ad for an AI job in today’s rapid growth artificial intelligence sector.
Jobseekers and career builders are wise not to take AI job titles at face value. For example, some companies require data scientist candidates to hold a PhD or MS in Computer Science or Statistics, while other organizations may accept a BS or even no college degree and certain types of experience. Similarly, a “senior” title may require a graduate degree and more experience at some companies than others.
Some of today’s most popular AI job titles include:
AI developer
AI engineer
Algorithm developer
AWS machine learning engineer
Azure data scientist
Data scientist
Lead data engineer
Lead data scientist
Machine learning scientist
ML data developer
Senior data scientist
Senior ML engineer
It is important to read the mandatory requirements of any job listing to determine whether it is actually a fit. For example, some technical AI positions require R and Python expertise whereas others may only require R or Python experience.
Another reason to maintain an open mind about job descriptions is that the people writing and approving job requisitions may lack the technical expertise to articulate what the organization actually needs. The result is sometimes unrealistic qualifications that even the most sought-after experts lack.
Following are some sample job descriptions that are based on actual job postings. They have been abbreviated for easier comparison.
Job description: Responsible for maintaining, enhancing and implementing AI solutions.
Mandatory skills:
R, Python and/or C#
AWS or Azure AI services and frameworks
AI, ML, NLP, REST APIs, libraries, frameworks
Cloud application design, development and deployment
Hands-on experience with AI, ML, NLP and cloud applications
Education: BS, Computer Science
Job description: Develops solutions to large-scale problems and bridges the gap between software developers and research scientists
Mandatory skills:
ML, DL, NLP, computer vision
Java
Past experience defining and coding and validation tests
Test automation script writing
Programming experience
Education: MS or PhD in Computer Science, AI, ML or related field.
Job description: Develops algorithms for specific use cases.
Mandatory skills:
Algorithm development
Algorithm performance assessment and reporting
Algorithm optimization
Education: BS in Computer Science or equivalent as relevant to the position (e.g., Robotics or Electrical Engineering)
Job description: Build out data models and create very large data sets.
Mandatory skills:
3+ years of AWS or Azure services experience
3+ years ML and data labeling
3+ years Python or R and Python
3 – 5 years data management experience
Education: BS, Compute Science, MS or PhD may be preferred
Job description: Translate customer requirements into POCs and successful solutions.
Mandatory skills:
R and Python
Hadoop
2+ years of data science experience
ML, NLP, DL, depending on the position and clients
Experience with platform (AWS or Azure) and its services
Education: MS in Computer Science or related field
Job description: Organize structured and unstructured data, build data models and interpret complex data sets
Mandatory skills:
R and/or Python
ML and/or NLP, DL depending on the position
Data mining
Education: BS or MS in Computer Science or Equivalent
Job description: Re-engineer business intelligence processes, design and develop data models, and share your expertise throughout the deployment process.
Mandatory skills:
AWS or Azure
Cloud computing
Hadoop, Spark
Python, Scala or Java
ML model deployment
Education: BS, Computer Science or equivalent
Job description: Turn client challenges and goals into successful AI, ML or DL solutions that meet or exceed expectations; train junior data scientists.
Mandatory skills:
R, Python, or both preferred
POC development and demonstration
8+ years end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables and presentations
8+ years of development, implementation and use of ML models and quantitative techniques for prediction and classification
2+ years of relevant, specialized experienced (e.g., NLP)
Education: MS in Computer Science, Statistics, or Math; PhD preferred
Mandatory skills:
Proven, in-depth understanding of ML algorithms and modeling including supervised, unsupervised and reinforcement learning models, transfer learning, optimization and probabilistic graphical models
In-depth experience with Spark or Hadoop and either PyTorch or Tensorflow
Python and Java, Scala, and/or R
Experience creating production environment data analytics and applications
Education: PhD in Computer Science or related field with a focus on ML, AI or data mining or an MS plus experience equivalent to holding a PhD
For any number of complex reasons, some AI jobs require additional significant experience, as do the positions below. In truth, the field is still new enough that the exact amount of experience is heavily dependent on individual employers.
Job description: Apply different NLP techniques to areas such as classification, data/knowledge extraction, disambiguation, sentiment analysis, etc. Identify and categorize entities in text such as people, places, organizations, date/time, quantities, percentages, currencies and more.
Mandatory skills:
R, Python and/or C#
AWS or Azure AI services and frameworks (cognitive, bots)
AI, ML, NLP, REST APIs, libraries, frameworks
Cloud application design, development and deployment
Experience Level:
10+ years with the target platform (AWS or Azure)
5+ years development experience
Hands-on POC experience proving an architecture concept
Experience with large, diverse data sets
Education: MS in Computer Science or Computer Information Systems (CIS)
Job description: Responsible for maintaining, enhancing and implementing solutions
Mandatory skills:
R, Python and/or C#
AWS or Azure AI services and frameworks (cognitive, bots)
AI, ML, NLP, REST APIs, libraries, frameworks
Cloud application design, development and deployment
Experience Level:
10+ years software development
7+ years R, Python or C#
5+ years AI, ML, NLP and cloud application development
Education: BS, Computer Science or Engineering
Job description: Design and implement cutting-edge solutions across a breadth of domain areas.
Mandatory skills:
ML, DL, NLP, computer vision, recommendation engines, pattern recognition, large-scale data mining
Predictive, statistical, and data mining modeling
Graph databases
AWS, Azure or IBM Watson
Hadoop, Spark or other Big Data platform
Proficient with ML algorithms
Education: BS or MS in Computer Science, Engineering, Statistics or Math
AI-related jobs tend to share very similar compensation ranges, which may be misleading. While it may seem odd that people with the same title could have base compensation that varies by $50,000 or $100,000, some of the differences have to do with the present levels of compensation in specific markets. For example, jobs in San Francisco and Manhattan tend to pay more than those in other major metropolitan areas given the cost-of-living differences.
Job candidates should therefore go into a job search with an open mind and research what’s available at that point in time. The candidate should also be clear about which titles and compensation packages are acceptable since a better title may not mean more pay or vice versa.
Current salary ranges for the positions discussed above are:
AI developer: $90,000 – $150,000
AI engineer – $130,000 – $210,000
Algorithm developer – $90,000 – $130,000
Machine learning engineer – $70,000 – $170,000
Azure or AWS data scientist – $85,000 – $160,000
Data scientist: $50,000 – $150,000
Lead data engineer: $90,000 – $175,000
Lead data scientist: $125,000 – $195,000
Machine learning scientist: $100,000 – $150,000
ML data developer: $100,000 – $170,000
Senior AI developer: $90,000 – $150,000 (high end)
Senior data engineer: $90,000 – 175,000
Senior data scientist: $95,000 – $210,000
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