🎁 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 →
About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Machine Learning Engineer Expert Type: Contract Compensation: $90/hour Location: Remote Role Responsibilities Develop end-to-end machine learning solutions for challenging prediction and modeling problems. Analyze datasets and define appropriate modeling approaches, validation strategies, and evaluation metrics. Perform exploratory data analysis, feature engineering, and data preprocessing. Train, tune, and evaluate machine learning models across tabular, text, image, and time-series datasets. Review and validate the technical quality of machine learning projects and deliverables. Identify opportunities to improve model performance through systematic experimentation and iteration. Qualifications Must-Have Master's degree or PhD in Computer Science , Machine Learning , Statistics , Mathematics , Electrical Engineering , or a related field from a top-tier university. 2+ years of skilled experience in machine learning , applied AI , data science, or a closely related field. Strong proficiency in Python and modern machine learning frameworks (e.g., scikit-learn , XGBoost , LightGBM , PyTorch , TensorFlow ). Demonstrated experience building end-to-end machine learning solutions, including data preparation, model development, validation, and evaluation. Strong understanding of model evaluation metrics, validation methodologies, and experimental design. Experience with one or more of the following areas: tabular machine learning , natural language processing, computer vision, recommendation systems, ranking systems, time-series forecasting. Ability to work independently on open-ended machine learning problems and deliver high-quality technical outputs. Preferred PhD from a leading research university. Experience at leading technology companies, AI labs, research institutions, or high-growth startups. Participation in competitive machine learning or data science competitions. Experience optimizing models against performance-based evaluation metrics. Familiarity with advanced techniques such as ensembling, hyperparameter optimization, transfer learning, foundation model fine-tuning, or reinforcement learning. Publications, patents, or significant open-source contributions in machine learning or AI . Experience reviewing, mentoring, or evaluating the work of other machine learning practitioners. Application Process (Takes 2030 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. .
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.