The Machine Learning field is growing rapidly and is good news for both the engineers and the companies looking to hire a machine learning engineer.
Machine Learning Engineers carry out extremely complex work, so it’s not really a surprise that companies may have a hard time hiring one. The field highly technical and requires a deep knowledge of systems design, math, stats, engineering, and domains. The actual day-to-day role can vary enormously and depends on the company and its needs. For instance, an engineer could be developing new models, applying existing models to new domains, or applying models in alternative ways.
We have put together a few tips on what Machine Learning Engineers look out for when looking for a new job that will help your hiring efforts.
A Rewarding and Enriching Work Experience
Most fields could benefit from advances in machine learning. Speech recognition, Internet fraud detection, genome analysis, and artificial intelligence, are all things that Machine Learning Engineers are trained to work on. Machine engineers want to work for a company that is cutting edge and provides them with a stimulating and interesting work environment.
Strong Leadership within the Tech Team
Machine learning is no longer something only huge software companies use. Any company can use utilize it to tackle the practical problems within its industry. Not any company will do – Machine Learning Engineers want to work for a company that both understands the benefits and values it.
Advice for Hiring Machine Learning Engineers
A piece of advice from job seekers is that companies should do their research to determine what type of role they’re looking for. Frequently, companies think they require one type of developer, but then after a few interviews, realize they really need another.