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Machine Learning Engineer career path

Machine Learning Engineers develop systems and computers that have the ability to learn knowledge and apply it without additional inputs These developers work in the artificial intelligence field, and use programming languages to create systems that function on their own. These systems don't require inputs from a person, but are able to perform specific tasks based on the direction written into their programs. Some Machine Learning Engineers work in fields specializing in tailored web searches and custom news feeds, while others focus on technology for self-driving cars and other analytical... more

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Career-building content for Machine Learning Engineers

We've collected tons of information on salaries, compensation, negotiation and more. See even more on our blog.

7 Qualities of the Best Engineering Leaders

Engineering

In my career as an engineer, I’ve encountered both extremes of engineering leadership. I have worked for some excellent people, and I have worked for others who, despite their technical chops, were effectively well-paid dictators. Looking back, I can point to seven important qualities that separate the leadership wheat from the chaff. These are the […]

Software Tools for iOS Developers

Engineering Tech Skills

As an iOS developer and productivity junkie, I’m always on the lookout for tools that can streamline my workflow. The following is a collection of software tools that I repeatedly find myself going back to while working with top-tier tech companies and startups in the San Francisco Bay Area. UI Development Tools Reveal Reveal is […]

How To Measure the Productivity of Your Software Team

Engineering Tech Skills

Most tech companies grow engineering managers from an individual contributor through a manager track. If this was your path, then you already know: engineers are motivated by shipping impactful projects. To keep your software developers productive in a way that is measurable, use a two-pronged approach: optimize for impact while maintaining quality. Maintaining quality means […]

The Daily Commit Challenge for Programmers

Engineering Tech Skills

Authors write a novel one word at a time, during what many of them refer to as “butt-in-the-chair” time. They know that having a daily routine of sitting down to do nothing but writing is how books get written. Hemingway’s daily WC (word count) was 500. Michael Crichton’s was 10,000. One of my favorite authors, […]

Starting a New Job? 9 Ways to Set Yourself Up For Success the First Month

Career Advice Interview Process

Starting a new job can be daunting regardless of the company and role, and the first few days and weeks can be instrumental in setting you up for success before you get lost in the work. These tips can help you get the most out of your first interactions, and ensure you’re ready for challenges […]

The 8 Different Types of Company Culture that Exist today

Job Search Workplace Trends

Have you ever wondered why everyone shows up 5 minutes late to meetings in your office, while your friend insists meetings start right on the dot at her company? Or perhaps why some people seem to get all their friends from work, while others never see their coworkers outside the office? Company culture holds many […]

30 Behavioral Interview Questions You Should Be Ready to Answer

Interview Process Job Search

If you’re heading into a job interview, chances are you’ve practiced your elevator pitch, figured out how working for the company would align with your goals, and have a good sense of how your skills and background would be a good fit for the role. That’s a great start—but practicing a variety of behavioral interview […]

An Interview with a Brand Designer: 8 Questions Answered

Designers The Career Strategist

This piece is a part of ‘The Career Strategist’ blog series This is the final installment of a three-part interview series with some of the designers we have at Hired. We’ve previously discussed user experience design with Kelly Gagnon, a UX Design Lead, and product design with Alex Couch, a Senior Product Designer. Finally, we’ll […]

What is the STAR Method and How to Incorporate it into your Interviews

Career Advice Interview Process Job Search

If you frequently find yourself feeling that you give rambling answers to interview questions, it can be worth learning some answer frameworks to help structure your thoughts. The STAR method (which stands for Situation, Task, Action, Result) is a popular technique that can be used to answer competency-based questions; This guide will help you understand […]

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Top skills for Machine Learning Engineers

Machine Learning Engineers develop systems and computers that have the ability to learn knowledge and apply it without additional inputs These developers work in the artificial intelligence field, and use programming languages to create systems that function on their own. These systems don't require inputs from a person, but are able to perform specific tasks based on the direction written into their programs. Some Machine Learning Engineers work in fields specializing in tailored web searches and custom news feeds, while others focus on technology for self-driving cars and other analytical model building. In all of these areas, the engineers create programs that rely on data analysis that uses algorithms to repeatedly learn from their built-in data. Over time, these systems apply pattern recognition to produce results that are reliable and relevant to the developers' original programming, while learning from the data that they collect with each use. Ideal Machine Learning Engineer candidates have an in-depth understanding of Python, Java, C++, R and other programming languages. They are well-versed in applied math, probability and statistics and problem solving. They also have a deep understanding of a variety of algorithms. Working in the Machine Learning Engineer field requires working with large data sets, and using Hadoop, EC2 and other cloud services to process the information. The ability to work with Linux systems is a plus. Candidates should also understand and be able to apply advanced signal processing techniques to create a variety of solutions within the programs they create.

R is a language designed for data manipulation and visualization. It is capable of doing various statistical computing and graphic generation (including linear and nonlinear modelling, classical statistical tests, time-series analysis, classificat...

Python is an object-oriented programming language notable for its clarity, power and flexibility. Python is an interpreted language, meaning that an interpreter reads and runs the code directly, rather than compiling down into static lower level c...

C++

C++ is an object-oriented language derived from C, and invented by Bjarne Stroustrup, while working at AT&T's Bell Labs. It is widely used for systems-level programming, and building applications on Windows and various Unix operating systems (Lin...

Java is a statically-typed, cross-platform language. It is concurrent, class-based, and object-oriented. It has minimal implementation dependencies and compiled Java code can run on all platforms that support Java without the need for recompilat...

C

C is a widely used low-level, static-typed, compiled computer language known for its efficiency. Developed in the late sixties, C has become one of the most widely used languages of all time. It provides direct access to memory and due to its de...

SQL

Structured Query Language (SQL) is a highly popular domain specific language (DSL) used to communicate with relational database management systems (RDBMS). SQL is a standard that is based on the "relational model", defined by professor E.F. Codd,...

PHP

PHP is a widely-used open-source scripting language that has seen wide use in web application development. PHP code must be processed by an interpreter like the Zend Engine. With a strong open-source community and large adoption world-wide, PHP ...

JavaScript is a scripting language, originally implemented in web browsers, but now widely used server-side via the Node.js platform. It supports a runtime system based on numerical, Boolean and string values, with built-in, first-class support f...

JavaScript is a scripting language, originally implemented in web browsers, but now widely used server-side via the Node.js platform. It supports a runtime system based on numerical, Boolean and string values, with built-in, first-class support f...

Top industries hiring Machine Learning Engineers

eCommerce

The retail landscape has changed dramatically over the past few decades. Retail was once a brick-and-mortar industry, comprised of small, independently owned-and-operated businesses and large chain stores with multiple outposts throughout the c...

Analytics

Analytics and Business Intelligence roles are often confused but are also directly linked. Data that is collected when a user interacts with a system is then cleaned and stored. That data is then accessed using reports and graphical dashboards. Th...

Manufacturing

Manufacturing involves creating merchandise through various forms of labor or machinery, including processing and formulation. There are many different types of manufacturing, including agile, flexible, just-in-time and lean manufacturing. Othe...

Electronics

The Electronics Industry has grown into a global industry with a value of billions of dollars. Most commonly when referring to the electronics industry it is understood the industry is consumer electronics which produces items used in everyday lif...

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