Machine Learning Salary Guide 2026: Compensation by Experience

If you're eyeing machine learning engineer jobs, understanding the salary landscape is key to landing the right role. In 2026, our job board shows 732 open positions for Machine Learning professionals, reflecting strong demand across levels from students to directors. Salaries vary widely by experience. For students, including those in machine learning internships, the median salary sits at $62,894, with a range from $53,456 to $72,333 based on 9 jobs. Junior roles, perfect for entry level machine learning jobs, offer a median of $124,571, ranging from $112,000 to $137,143 across 7 postings. As you climb, mid-level positions hit a median of $134,024 (min $115,714, max $152,333, 21 jobs), while senior Machine Learning engineers command $177,030 median (min $148,852, max $205,208, 149 jobs). Leads earn a median $190,737 (min $164,158, max $217,316, 19 jobs), executives $211,525 (min $182,950, max $240,100, 20 jobs), directors $239,778 (min $207,333, max $272,222, 9 jobs), and managers top out at $241,071 median (min $199,286, max $282,857, 7 jobs). These figures highlight how experience drives your machine learning engineer salary.

Work arrangements also influence pay. Remote machine learning jobs, which make up a big chunk with 110 openings, have a median salary of $171,668. Hybrid roles, at 67 jobs, median $165,045, while on-site positions with 64 jobs lead at $193,571. This data underscores the appeal of machine learning jobs remote, though on-site can pay more. Top hiring companies like Welocalize, Thumbtack, Improbable-2, Gridmatic, Moloco, Xero, Dreamsports, Coda, OKX, and Preligens are actively posting ml engineer jobs, often seeking skills in machine learning projects and real-world applications.

Whether you're preparing for ml interview questions or building your machine learning roadmap, these stats provide a solid benchmark. Entry-level folks might start with machine learning internships to gain traction, while seasoned pros leverage senior-level demand. Factors like location, company size, and specific expertise in areas such as deep learning or NLP play into final offers, but our live data gives you a clear picture of what's out there right now.