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Who We Are Verve has created a more efficient and privacy-focused way to buy and monetize advertising. Verve is an ecosystem of demand and supply technologies fusing data, media, and technology together to deliver results and growth to both advertisers and publishers–no matter the screen or location, no matter who, what, or where a customer is. With 30 offices across the globe and with an eye on servicing forward-thinking advertising customers, Verve’s solutions are trusted by more than 90 of the United States’ top 100 advertisers, 4,000 publishers globally, and the world’s top demand-side platforms. Learn more at verve.com . Verve For Advertisers is a technology company that empowers brands and agencies to connect moments of discovery and drive measurable outcomes across screens. As part of Verve, we've unified the company's demand-side offering, bringing together the largest on-site search intent dataset outside of walled gardens, direct SDK integrations with top apps, and data partnerships with 3M+ websites and LLMs. Our technology captures both what consumers do and why they do it, delivering high-fidelity audiences, insights, and activation across premium omnichannel inventory. We are looking for a Machine Learning Engineer to join our engineering team to help us manage our diverse and growing set of initiatives. This position is full-time and 100% remote. Responsibilities Experiment with emerging technologies and contribute to building new models and systems Implement prototypes of the algorithms and models you design in Python Focus on delivering solutions to production (this is not a research-only role) Design training and evaluation protocols Set up monitoring for performance metrics and overall system behaviour including alerts for any anomaly detected Partner closely with the platform engineering team to streamline and optimize MLOps workflows Use Kanban to manage multiple releases per week Maintain high code quality through code reviews and automated tests Here are a few indicators that you're the right person You enjoy a fun, creative, and engaging working atmosphere free of brilliant jerks You want to be part of a small team inside a large company with massive opportunity for growth You enjoy collaboration with other teams including product, biz dev, and our in-house QA team You eagerly dig into complex engineering problems Qualifications You have hands-on experience implementing production machine learning systems at scale Expertise with Python ML libraries like TensorFlow, PyTorch, Scikit-Learn etc Familiarity with ML tools like MLFlow, Ray Serving Familiarity with building data pipelines including SQL and manipulating large structured or unstructured datasets for analysis Familiarity with AWS and Google Cloud big data products We welcome diversity and non-traditional paths into all of our roles. We believe in hiring the right person as opposed to the right combination of keywords. Verve provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. If you are a California resident subject to the California Consumer Privacy Act, click here to understand how Verve processes your personal information and how you can exercise your rights. If you are located in the EU or UK visit our privacy policy to understand how Verve processes your personal information and how you can exercise your rights.
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.