Machine Learning Scientist Salary in 2022
💰 The median Machine Learning Scientist Salary in 2022 is USD 148,500
✏️ This salary info is based on 14 individual salaries reported during 2022
Salary details
The average Machine Learning Scientist salary lies between USD 112,300 and USD 180,000 globally. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.
- Job title
- Machine Learning Scientist
- Experience
- all levels
- Region
- global/worldwide
- Salary year
- 2022
- Sample size
- 14
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- Top 25%
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- Median
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- Bottom 25%
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- Bottom 10%
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All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.
Last updated:Salary trend
Top 20 Job Tags for Machine Learning Scientist roles
The three most common job tag items assiciated with Machine Learning Scientist job listings are Machine Learning, Python and Computer Science. Below you find a list of the 20 most occuring job tags in 2022 and the number of open jobs that where associated with them during that period:
Machine Learning | 119 jobs Python | 102 jobs Computer Science | 94 jobs Engineering | 87 jobs Research | 77 jobs ML models | 77 jobs Statistics | 71 jobs PhD | 70 jobs Deep Learning | 68 jobs PyTorch | 63 jobs TensorFlow | 60 jobs Mathematics | 51 jobs NLP | 44 jobs Spark | 38 jobs Physics | 37 jobs SQL | 36 jobs Scikit-learn | 33 jobs R | 29 jobs AWS | 29 jobs Pipelines | 28 jobsTop 20 Job Perks/Benefits for Machine Learning Scientist roles
The three most common job benefits and perks assiciated with Machine Learning Scientist job listings are Career development, Conferences and Health care. Below you find a list of the 20 most occuring job perks or benefits in 2022 and the number of open jobs that where offering them during that period:
Career development | 106 jobs Conferences | 40 jobs Health care | 30 jobs Startup environment | 29 jobs Flex vacation | 26 jobs Team events | 26 jobs Competitive pay | 25 jobs Equity / stock options | 21 jobs Flex hours | 20 jobs 401(k) matching | 14 jobs Salary bonus | 13 jobs Parental leave | 12 jobs Medical leave | 10 jobs Wellness | 8 jobs Insurance | 7 jobs Travel | 6 jobs Gear | 4 jobs Home office stipend | 4 jobs Fertility benefits | 4 jobs Cell phone stipend | 3 jobsSalary Composition
The salary for a Machine Learning Scientist typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary is the fixed component and usually forms the largest part of the total compensation. Bonuses can vary significantly depending on the company's performance and individual achievements. In tech hubs like Silicon Valley, stock options or equity can be a substantial part of the package, reflecting the company's growth potential. In contrast, companies in other regions or industries might offer smaller bonuses and fewer stock options. Larger companies often provide more comprehensive benefits packages, including health insurance, retirement plans, and other perks, which can add significant value to the overall compensation.
Increasing Salary
To increase your salary from a Machine Learning Scientist position, consider the following strategies:
- Specialization: Develop expertise in a niche area of machine learning, such as deep learning, natural language processing, or computer vision, which can make you more valuable to employers.
- Leadership Roles: Transition into roles with more responsibility, such as a team lead or manager, which often come with higher pay.
- Continuous Learning: Stay updated with the latest advancements in AI/ML through courses, workshops, and conferences, demonstrating your commitment to growth.
- Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into industry trends.
- Negotiation Skills: Improve your negotiation skills to better advocate for higher pay during job offers or performance reviews.
Educational Requirements
Most Machine Learning Scientist positions require at least a master's degree in a relevant field such as computer science, data science, statistics, or mathematics. A Ph.D. is often preferred, especially for research-intensive roles, as it demonstrates a deep understanding of complex algorithms and the ability to conduct independent research. Strong programming skills, particularly in languages like Python and R, are also essential.
Helpful Certificates
While not always mandatory, certain certifications can enhance your credentials and demonstrate your expertise:
- Google Professional Machine Learning Engineer
- AWS Certified Machine Learning – Specialty
- Microsoft Certified: Azure AI Engineer Associate
- TensorFlow Developer Certificate
These certifications can validate your skills in specific platforms and tools, making you more attractive to potential employers.
Required Experience
Typically, employers look for candidates with at least 2-5 years of experience in machine learning or related fields. This experience should include hands-on work with machine learning models, data analysis, and software development. Experience in deploying machine learning models in production environments is highly valued, as it demonstrates practical application skills.
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