🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
DRW is a technology-driven, diversified principal trading firm. We trade our own capital at our own risk, across a broad range of asset classes, instruments and strategies, in financial markets around the world. As the markets have evolved over the past 25 years, so has DRW – maximizing opportunities to include real estate, cryptoassets and venture capital. With over 1,000 employees at our Chicago headquarters and offices around the world, we work together to solve complex problems, challenge consensus and deliver meaningful results. It’s a place of high expectations, deep curiosity and thoughtful collaboration DRW is looking for highly skilled Machine Learning Engineer for an Algorithmic Trading Research Group in Tel Aviv. DRW office is located at the TLV expo center, right next to TLV University train station and offers highly competitive compensation packages. As a Machine Learning Engineer , you will be an integral member of an algorithmic trading team comprised of experienced technologists and quantitative researchers. Your team will work closely to solve challenging technical problems and contribute to our full tech stack, from hardware and software development to grid computing. You will be surrounded by cutting edge technology, offered training and continuing education opportunities, and given immediate responsibility. We are looking for creative technologists, natural programmers, and disciplined engineers eager to develop new technologies that directly impact our business. How you will make an impact: Build infrastructure for running Machine Learning algorithms on big data. Optimize Machine Learning algorithms to run under latency constraints. Parallelize Machine Learning algorithms to run on a parallel compute grid. Build software for data acquisition and cleaning that can handle hundreds of terabytes of data. Build data visualization tools for feature exploration and model verification. Integrate Machine Leaning algorithms into trading strategies simulations to verify end to end performance improvements. Contribute to technological innovation through exploration of cutting-edge hardware, software, and methods. As an active member of the research team you will have an impact on the technological direction and the analysis of trade-offs between complexity and performance. What you bring to the team: MSc-Bsc in Computer Science, Computer Engineering, or related field. 5+ years of software development experience in modern C++ and Python. A strong understanding of object-oriented design, data structures, and algorithms. Ability to advise and collaborate with researchers on software engineering tools and practices. A solid foundation in programming with the ability to think, communicate, and code clearly. Skills in numerical computing, machine learning, and visual intelligence. Demonstrated ability to produce algorithmic code in a fast-paced environment. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-GV1 #LI-Onsite
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.