Salary for Senior-level / Expert Machine Learning Software Engineer during 2023

Salary details

The average senior-level / expert Machine Learning Software Engineer salary lies between USD 170,000 and USD 272,000 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.

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 17, 2024

Salary trend

Top 20 Job Tags for Senior-level / Expert Machine Learning Software Engineer roles

The three most common job tag items assiciated with senior-level / expert Machine Learning Software Engineer job listings are Machine Learning, Python and Engineering. Below you find a list of the 20 most occuring job tags in 2023 and the number of open jobs that where associated with them during that period:

Machine Learning | 13 jobs Python | 12 jobs Engineering | 10 jobs Computer Science | 10 jobs ML models | 7 jobs PyTorch | 6 jobs Statistics | 6 jobs APIs | 6 jobs NLP | 5 jobs TensorFlow | 5 jobs Architecture | 5 jobs PhD | 5 jobs Mathematics | 5 jobs Computer Vision | 4 jobs Research | 4 jobs OOP | 4 jobs Privacy | 4 jobs Spark | 3 jobs SQL | 3 jobs GPU | 3 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Machine Learning Software Engineer roles

The three most common job benefits and perks assiciated with senior-level / expert Machine Learning Software Engineer job listings are Career development, Equity / stock options and Health care. Below you find a list of the 20 most occuring job perks or benefits in 2023 and the number of open jobs that where offering them during that period:

Career development | 9 jobs Equity / stock options | 5 jobs Health care | 4 jobs Startup environment | 4 jobs Competitive pay | 4 jobs Flex vacation | 3 jobs 401(k) matching | 2 jobs Flex hours | 2 jobs Salary bonus | 2 jobs Parental leave | 1 jobs Wellness | 1 jobs Medical leave | 1 jobs Insurance | 1 jobs Home office stipend | 1 jobs Fertility benefits | 1 jobs

Salary Composition

The salary for a Senior-level or Expert Machine Learning Software Engineer typically comprises several components: a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary is often the largest portion, providing a stable income. Bonuses can vary significantly depending on the company's performance and individual contributions, often ranging from 10% to 20% of the base salary. Additional remuneration, like stock options, is more common in larger tech companies or startups and can be a significant part of the total compensation package. The composition can vary by region, with tech hubs like Silicon Valley offering higher base salaries and more substantial equity packages compared to other regions. Industry also plays a role; for instance, finance and healthcare sectors might offer higher bonuses, while tech companies might provide more in stock options.

Increasing Salary

To increase your salary further from this position, consider the following strategies:

• Specialization: Develop expertise in a niche area of machine learning, such as deep learning, natural language processing, or reinforcement learning, which can make you more valuable to employers.
• Leadership Roles: Transition into leadership or managerial roles, such as a Machine Learning Team Lead or Director of AI, which typically come with higher compensation.
• Continuous Learning: Stay updated with the latest advancements in AI/ML through courses, workshops, and conferences, demonstrating your commitment to growth and innovation.
• 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 performance reviews or when switching jobs.

Educational Requirements

Most Senior-level Machine Learning Software Engineer positions require at least a master's degree in a relevant field such as Computer Science, Data Science, Statistics, or Electrical Engineering. A Ph.D. is often preferred, especially for roles that involve research and development of new algorithms or technologies. The educational background should include a strong foundation in mathematics, statistics, and computer programming.

Helpful Certificates

While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise:

• Certified Machine Learning Professional (CMLP)
• TensorFlow Developer Certificate
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate
• Google Professional Machine Learning Engineer

These certifications can validate your skills in specific tools and platforms, making you more attractive to potential employers.

Required Experience

Typically, a Senior-level Machine Learning Software Engineer is expected to have at least 5-10 years of experience in the field. This experience should include hands-on work with machine learning models, data analysis, and software development. Experience in leading projects or teams, as well as a proven track record of successful machine learning implementations, is highly valued.

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