3 Remote Entry-level Machine Learning Scientist Jobs (No Experience Required)
Explore flexible and work from home entry-level machine learning scientist positions available worldwide. Your career in truly remote companies - apply today.
November 2
Netrix Global
501 - 1000
Machine Learning Engineer for Netrix Global's Data Intelligence department, focusing on AI solutions.
September 20
Thermo Fisher Scientific
10,000+
AI Engineer role focused on Generative AI solutions at Thermo Fisher Scientific.
August 24, 2023
Overbond
11 - 50
🇨🇦 Canada – Remote
💰 Venture Round on 2022-08
⏰ Full Time
⚪️ Entry-level
📊 Data Scientist
🚫👨🎓 No degree required
Remote machine learning scientist salary expectations
The average salary for remote machine learning scientists is $159,233 per year. This is based on data from 24 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 scientist salaries.
Below is a breakdown of salary data by years of experience:
| Experience | Number of roles analyzed | Average Salary |
|---|---|---|
🟢 Junior Machine Learning Scientist (1-2 yrs) | 1 | $106,500 |
🟡 Mid-level Machine Learning Scientist (2-4 yrs) | 8 | $151,917 |
🟠 Senior Machine Learning Scientist (5-9 yrs) | 14 | $158,911 |
🔴 Lead Machine Learning Scientist (10+ yrs) | 1 | $275,000 |
Frequently asked questions
You need a strong foundation in programming languages like Python or R, familiarity with machine learning libraries such as TensorFlow or scikit-learn, and a solid understanding of data analysis and statistics. Problem-solving and critical thinking skills are also important.
Typically, a degree in computer science, data science, or a related field is required. Relevant coursework or projects in machine learning, alongside a portfolio that showcases your work, can also be beneficial.
Responsibilities include analyzing data sets, building and testing machine learning models, collaborating with senior scientists on projects, documenting findings, and staying updated on industry trends and technologies.
Benefits include flexible working arrangements, the chance to work on innovative projects, opportunities for professional growth, and the ability to collaborate with diverse teams across the globe.