Salary for Senior-level / Expert Machine Learning Platform Engineer during 2024

Salary details

The average senior-level / expert Machine Learning Platform Engineer salary lies between USD 167,000 and USD 230,000 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

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

The three most common job tag items assiciated with senior-level / expert Machine Learning Platform Engineer job listings are Machine Learning, Engineering and Python. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Machine Learning | 21 jobs Engineering | 18 jobs Python | 15 jobs Model training | 15 jobs Computer Science | 13 jobs Architecture | 11 jobs Java | 10 jobs Model deployment | 9 jobs Microservices | 9 jobs Deep Learning | 8 jobs E-commerce | 8 jobs Security | 7 jobs Distributed Systems | 6 jobs Open Source | 5 jobs Kubernetes | 5 jobs Banking | 5 jobs Finance | 5 jobs Azure | 5 jobs ML models | 5 jobs Pipelines | 5 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Machine Learning Platform Engineer job listings are Career development, Equity / stock options and Flex hours. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 19 jobs Equity / stock options | 17 jobs Flex hours | 13 jobs Team events | 11 jobs Health care | 8 jobs Parental leave | 7 jobs Medical leave | 7 jobs Insurance | 7 jobs Flex vacation | 6 jobs Wellness | 5 jobs Competitive pay | 5 jobs Salary bonus | 5 jobs Flexible spending account | 5 jobs Signing bonus | 4 jobs 401(k) matching | 2 jobs Startup environment | 1 jobs Home office stipend | 1 jobs Unlimited paid time off | 1 jobs Fertility benefits | 1 jobs

Salary Composition

The salary for a Senior-level or Expert Machine Learning Platform Engineer typically comprises several components. The fixed base salary is the largest portion, often accounting for 70-80% of the total compensation package. Bonuses, which can be performance-based or tied to company success, usually make up 10-20%. Additional remuneration might include stock options, especially in tech companies, and other benefits like health insurance, retirement plans, and paid time off. The composition can vary significantly depending on the region, industry, and company size. For instance, tech giants in Silicon Valley might offer substantial stock options, while companies in other regions might focus more on cash bonuses.

Increasing Salary Further

To increase your salary beyond the median for this role, consider the following strategies:

• Specialization: Develop expertise in a niche area of machine learning, such as deep learning, natural language processing, or reinforcement learning.
• Leadership Roles: Transition into leadership or managerial positions, such as a Machine Learning Team Lead or Director of AI.
• Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML, and consider pursuing advanced certifications or degrees.
• Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into industry trends.
• Negotiation Skills: Enhance your negotiation skills to better advocate for higher compensation during job offers or performance reviews.

Educational Requirements

Most Senior-level Machine Learning Platform Engineers hold at least a bachelor's degree in computer science, data science, mathematics, or a related field. However, a master's degree or Ph.D. is often preferred, especially for roles that require deep technical expertise and research capabilities. Advanced degrees can provide a competitive edge and are sometimes necessary for positions in cutting-edge research or highly specialized areas.

Helpful Certifications

While not always mandatory, certain certifications can bolster your credentials and demonstrate your expertise:

• 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 in specific platforms and tools, making you more attractive to potential employers.

Required Experience

Typically, a Senior-level Machine Learning Platform Engineer is expected to have 5-10 years of experience in the field. This includes hands-on experience with machine learning algorithms, data analysis, and software development. Experience in deploying machine learning models at scale and working with cloud platforms like AWS, Google Cloud, or Azure is often required. Additionally, experience in leading projects or teams can be advantageous.

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