2 Remote Entry-level Machine Learning Scientist Jobs
Explore flexible and work from home entry-level machine learning scientist positions available worldwide. Your career in truly remote companies - apply today.
2 days ago
Degas
51 - 200
Help analyze data and develop machine learning models for farmer financing platform.
October 10
Workiva
1001 - 5000
Workiva seeks an Applied Scientist for machine learning tasks and model deployment.
🇺🇸 United States – Remote
💵 $79k - $134k / year
💰 $689.3k Venture Round on 2014-10
⏰ Full Time
⚪️ Entry-level
🟢 Junior
🤖 Machine Learning Engineer
Top companies hiring remote entry-level machine learning scientists
Workiva
Government Reporting • Internal Controls • Section 16
1001 - 5000
💰 $689.3k Venture Round on 2014-10
Job Openings
Remote machine learning scientist salary expectations
The average salary for remote machine learning scientists is $151,656 per year. This is based on data from 23 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 |
|---|---|---|
⚪️ Entry-level Machine Learning Scientist (0 yrs) | 1 | $106,500 |
🟢 Junior Machine Learning Scientist (1-2 yrs) | 1 | $106,500 |
🟡 Mid-level Machine Learning Scientist (2-4 yrs) | 7 | $142,191 |
🟠 Senior Machine Learning Scientist (5-9 yrs) | 13 | $154,212 |
🔴 Lead Machine Learning Scientist (10+ yrs) | 1 | $275,000 |
Frequently asked questions
Strong analytical and problem-solving skills, proficiency in programming languages such as Python or R, knowledge of machine learning frameworks like TensorFlow or PyTorch, and familiarity with data manipulation and analysis tools. Good communication and teamwork skills are also important.
A bachelor's degree in computer science, mathematics, data science, or a related field is typically required. Relevant coursework or internships in machine learning and a portfolio showcasing projects can strengthen your application.
Responsibilities include collecting and preprocessing data, developing and implementing machine learning models, assisting in experiments and validating results, collaborating with senior scientists, and documenting findings. You'll also need to stay current with industry trends.
Benefits include the opportunity to work in a high-demand field, flexible work hours, the ability to work from anywhere, career growth potential, and the chance to solve real-world problems using data-driven approaches.