September 2024 - Jobs in AI, the market, news, gossip, and more!
September, October, and November are traditionally the busiest recruitment months of the year! So far, so good at People In AI. We have had an influx of roles from some exciting companies (see more below or on our jobs page). It's looking like September will be another record month for placements made :)
How's the market?
That is my most common question. Unfortunately, I am not a macroeconomist, but I keep my ears open to what is happening in AI/ML/Data. Recently, I got into a tussle with an internet stranger on Reddit who claimed "tech layoffs are accelerating" and the "jobs market is doomed."
As you can see, the pain of tech layoffs has been decreasing, but there are still some problems (Intel, Tesla, etc.).
However, given People In AI focuses on a niche skillset, I try to be confident about the macros. According to LinkedIn data, the current state of Machine Learning Engineers in the USA is showing impressive growth and is a title tagged as "very high demand."
Let me know if anyone wants to request more job data for the following newsletter, and I will do my best to include it.
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🔥 Hot jobs on the People In AI website
➕ Staff MLE - $300,000 + $800K stock (4-year vest)
➕ Senior Machine Learning Engineer - $200,000 + bonus - fully remote
➕ Principal Data Scientist - $220,000 - fully remote
➕ Staff Machine Learning Engineer - $300,000 + equity - Hybrid SF
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How to Get Noticed on LinkedIn!
We all use LinkedIn for different reasons. Some people want to stay in the background and avoid messages or calls, and that's perfectly fine! But if you're actively looking for new opportunities or trying to make yourself visible in a competitive space like AI, data science, or tech, I thought I'd share a few insights as a recruiter.
I spend a lot of time on LinkedIn Recruiter, combing through profiles in search of specific skills and experiences. What you may not realize is that recruiters often search for precise keywords, and if they're not on your profile, you might get overlooked even if you're the perfect fit.
Here’s what I look for—and what can help you get noticed:
- Highlight Your Technical Skills Don’t just list your job title—be specific about what you do! If you’re a data scientist, include the tools, models, and techniques you’ve mastered. For example, I’m currently searching for candidates with "time series forecasting" and "deep learning" experience. But many profiles I come across simply say "Data Scientist" without any details about their technical skills. You could be the exact match for a role, but if those keywords aren’t there, I’ll never know.
- Include Keywords Recruiters Search For Recruiters search using targeted terms like “Fraud Detection,” “NLP,” “econometrics,” or “recommendation systems.” If those keywords aren’t in your profile, your chances of being found decrease significantly. Add the industry-specific terms that match your expertise. This could be the difference between getting that inbound message and missing out on a great opportunity.
- List All Relevant Skills Don’t be shy about adding all the skills you’ve built up over the years. Whether it’s programming languages, machine learning frameworks, or specific methodologies, make sure they’re on your profile. Recruiters often filter candidates based on these keywords.
- Showcase Your Education Your educational background can still make a difference, especially in tech. If you’ve got advanced degrees, certifications, or specialized training, make sure they’re front and center. This not only helps you get noticed but also establishes credibility when recruiters are comparing candidates.
- Keep Your Profile Updated LinkedIn is like a living resume—updating your profile regularly helps keep you relevant. If you’ve taken a new course, learned a new tool, or contributed to an exciting project, add that in. It keeps your profile fresh and shows you’re continuously evolving, which is especially important in fast-moving fields like AI and data science.
Ultimately, the more specific and detailed your profile is, the better chance you’ll have of being discovered by recruiters like me. We don’t just look for job titles—we’re searching for the nuts and bolts of your experience. So, if you want to be found, take a few minutes to update your LinkedIn profile with all the skills and keywords relevant to your field. You never know who’s looking for exactly what you have to offer!
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➡️ From the People In AI blog
➕ How to prepare for an ML job interview
➕ ML roles you should know about
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