Salary for Senior-level / Expert Machine Learning Software Engineer during 2022

Salary details

The average senior-level / expert Machine Learning Software Engineer salary lies between USD 183,600 and USD 248,400 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: Dec. 1, 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 Python, Machine Learning and Research. 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:

Python | 7 jobs Machine Learning | 7 jobs Research | 6 jobs TensorFlow | 5 jobs PyTorch | 5 jobs Engineering | 5 jobs Computer Science | 5 jobs Computer Vision | 4 jobs Kubernetes | 4 jobs GCP | 4 jobs Google Cloud | 4 jobs Kafka | 3 jobs Data pipelines | 3 jobs ML models | 3 jobs Pipelines | 3 jobs Docker | 3 jobs Deep Learning | 2 jobs NLP | 2 jobs OpenCV | 2 jobs Keras | 2 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, 401(k) matching and Parental leave. 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 | 3 jobs 401(k) matching | 2 jobs Parental leave | 2 jobs Flex hours | 2 jobs Flex vacation | 2 jobs Wellness | 2 jobs Health care | 2 jobs Competitive pay | 2 jobs Medical leave | 2 jobs Insurance | 2 jobs Fertility benefits | 2 jobs Startup environment | 1 jobs Salary bonus | 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. The composition can vary significantly depending on the region, industry, and company size.

• Region: In tech hubs like Silicon Valley, New York, or Seattle, the base salary tends to be higher due to the cost of living and competition for talent. In contrast, regions with a lower cost of living may offer a smaller base salary but could compensate with other benefits.
• Industry: Companies in the finance or healthcare sectors might offer higher bonuses due to the critical nature of their work and the value they place on data-driven insights. Tech companies, especially startups, might offer significant equity as part of the compensation package.
• Company Size: Larger companies often provide a more structured bonus system and comprehensive benefits, while startups might offer more equity and flexible working conditions to attract talent.

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. Specialized skills can command higher salaries.
• Leadership Roles: Transition into leadership or managerial roles, such as a Machine Learning Team Lead or Director of AI, which typically offer higher compensation.
• Continuous Learning: Stay updated with the latest advancements in AI/ML through courses, workshops, and conferences. This not only enhances your skills but also increases your value to employers.
• Networking: Engage with professional networks and communities. Opportunities often arise through connections, and being well-connected can lead to higher-paying roles.

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, or Electrical Engineering. A Ph.D. is often preferred, especially for roles that involve research and development of new algorithms or technologies. Strong mathematical and statistical knowledge is essential, as is proficiency in programming languages like Python, R, or Java.

Helpful Certificates

While not always mandatory, certain certifications can enhance your profile and demonstrate your commitment to the field:

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

These certifications can validate your skills and knowledge, making you a more attractive candidate to potential employers.

Required Experience

Typically, a Senior-level Machine Learning Software Engineer is expected to have 5-10 years of experience in the field. This includes hands-on experience with machine learning frameworks (such as TensorFlow, PyTorch, or Scikit-learn), data analysis, and model deployment. Experience in leading projects or teams is also highly valued, as it demonstrates your ability to manage complex tasks and collaborate effectively.

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