5 days ago
10,000+
Join Solventum as an AI/Machine Learning Intern. Work on innovative software for healthcare applications.
6 days ago
10,000+
Internship on online machine learning applications for power grids at Hitachi Energy. Flexible remote/hybrid position for postgraduate students with AI/ML background.
November 8
201 - 500
Internship for Machine Learning Engineer at Quora, focusing on impactful projects.
🇨🇦 Canada – Remote
💵 $8k / year
💰 $85M Series D on 2017-04
👨🎓 Internship
⚪️ Entry-level
🤖 Machine Learning Engineer
November 2
501 - 1000
Machine Learning Engineer for Netrix Global's Data Intelligence department, focusing on AI solutions.
September 6
51 - 200
Join Branch as a ML engineering intern to develop financial services.
June 3
11 - 50
🇺🇸 United States – Remote
💰 $6.7M Seed Round on 2021-11
👨🎓 Internship
⚪️ Entry-level
🤖 Machine Learning Engineer
Information & Telecommunication Systems • Social Infrastructure & Industrial Systems • Electronic Systems & Equipment
10,000+
Machine Learning • Product Design • Internationalization
201 - 500
💰 $85M Series D on 2017-04
The average salary for remote ml engineers is $171,976 per year. This is based on data from 820 job openings.
Our advanced AI searches the internet for remote job openings and posts them on our website. We use the salary data from these job postings to calculate machine learning engineer salaries.
Below is a breakdown of salary data by years of experience:
Experience | Number of roles analyzed | Average Salary |
---|---|---|
⚪️ Entry-level Machine Learning Engineer (0 yrs) | 3 | $73,086 |
🟢 Junior Machine Learning Engineer (1-2 yrs) | 34 | $133,779 |
🟡 Mid-level Machine Learning Engineer (2-4 yrs) | 194 | $152,735 |
🟠 Senior Machine Learning Engineer (5-9 yrs) | 472 | $172,861 |
🔴 Lead Machine Learning Engineer (10+ yrs) | 117 | $213,944 |
You need strong programming skills in languages like Python or R, a good understanding of machine learning algorithms, data manipulation, and statistical analysis. Familiarity with libraries such as TensorFlow, Keras, or Scikit-learn is also important, along with good problem-solving skills and data visualization abilities.
Typically, you need a degree in computer science, data science, mathematics, or a related field. Relevant coursework or projects in machine learning, along with experience with data analysis and programming, can also be highly beneficial.
Responsibilities include implementing machine learning models, data preprocessing, conducting experiments to improve model performance, collaborating on data collection efforts, and analyzing results to provide insights. You may also assist in validation tests and help document processes.
Benefits include the opportunity to work in a rapidly growing field, flexible working hours, and the ability to collaborate with diverse teams across the globe. Remote work also offers a better work-life balance, reduced commuting costs, and the chance to work on innovative projects.