Machine Learning is one of the most in-demand skills in the tech industry today. Companies across startups, scale-ups, and enterprises are actively hiring Machine Learning developers to build cutting-edge products and services. We have multiple Machine Learning positions available on LeetHire, with competitive salaries. On LeetHire, you can search for Machine Learning jobs anonymously—your current employer won't know you're looking. All listings show transparent salary ranges upfront, so you never waste time on positions that don't meet your expectations. Connect directly with hiring teams without dealing with third-party recruiters, and block specific companies from seeing your profile if needed. Ready to take your Machine Learning career further? LeetHire matches you with roles that fit your expectations—from remote-first startups to established tech teams—without ever exposing your job search to your current employer.
See salary ranges, averages, and trends for Machine Learning positions.
View Machine Learning Salary Guide →Machine learning transforms data into intelligent systems that learn from experience without explicit programming. From recommendation engines to fraud detection, ML algorithms power modern applications across every industry. Companies hire machine learning engineers to develop predictive models, recommendation systems, natural language processing applications, computer vision solutions, and automated decision-making systems. ML engineers work with algorithms like neural networks, decision trees, and ensemble methods, use frameworks like TensorFlow, PyTorch, and scikit-learn, handle data preprocessing and feature engineering, and deploy models to production environments. Understanding when to apply different algorithms, how to evaluate model performance, and production ML infrastructure distinguishes strong candidates. Machine learning engineer salaries range from $110k to $200k+ with senior positions at major tech companies commanding exceptional compensation. Organizations value ML expertise for extracting business insights from data, automating complex processes, and building competitive advantages through intelligent applications. LeetHire connects machine learning engineers with innovative companies through anonymous coding challenges that evaluate your model development and problem-solving capabilities.
ML engineers develop predictive models, design data pipelines, implement feature engineering, deploy models to production, monitor model performance, and iterate on algorithms. They bridge data science and software engineering, focusing on scalable, production-ready ML systems.
Machine learning engineers earn $110k to $200k+ annually. Entry-level positions start around $100k-$120k, mid-level engineers earn $130k-$170k, and senior ML engineers at major tech companies earn $170k-$250k+ including equity compensation.
No, a PhD is not required for most ML engineering positions. Strong programming skills, understanding of ML algorithms, practical experience with frameworks, and ability to deploy models are more important. PhDs are valued for research positions or specialized domains.
Python is the dominant language for machine learning with libraries like TensorFlow, PyTorch, scikit-learn, and pandas. Some roles use R for statistics, Java for production systems, or C++ for performance-critical components, but Python skills are essential.