Salary for Senior-level / Expert Machine Learning Developer in United States during 2024

Salary details

The average senior-level / expert Machine Learning Developer salary lies between USD 103,275 and USD 323,000 in the United States. 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.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). 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 Developer roles

The three most common job tag items assiciated with senior-level / expert Machine Learning Developer job listings are Machine Learning, Python and Engineering. 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 | 45 jobs Python | 40 jobs Engineering | 37 jobs ML models | 30 jobs PyTorch | 24 jobs Research | 24 jobs AWS | 23 jobs TensorFlow | 21 jobs Architecture | 21 jobs Deep Learning | 19 jobs Testing | 19 jobs Computer Science | 16 jobs Scikit-learn | 14 jobs Data analysis | 14 jobs NLP | 11 jobs Spark | 11 jobs Pipelines | 11 jobs Kubernetes | 10 jobs Security | 10 jobs GCP | 10 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Machine Learning Developer job listings are Career development, Health care 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 | 36 jobs Health care | 19 jobs Flex hours | 14 jobs Competitive pay | 13 jobs Flex vacation | 11 jobs Equity / stock options | 8 jobs Parental leave | 8 jobs Team events | 8 jobs Salary bonus | 8 jobs Medical leave | 7 jobs Startup environment | 5 jobs Insurance | 3 jobs Transparency | 2 jobs Snacks / Drinks | 2 jobs Home office stipend | 2 jobs 401(k) matching | 1 jobs Flexible spending account | 1 jobs

Salary Composition

In the United States, the salary composition for a Senior-level or Expert Machine Learning Developer can vary significantly based on region, industry, and company size. Typically, the salary package is divided into three main components:

• Base Salary: This is the fixed annual salary and usually constitutes the largest portion of the total compensation. In tech hubs like Silicon Valley, New York, or Seattle, the base salary might be higher due to the cost of living and competitive job market.

• Bonus: Bonuses can be performance-based or company-wide and are often a percentage of the base salary. In larger tech companies or financial institutions, bonuses can be substantial, sometimes reaching 10-20% of the base salary.

• Additional Remuneration: This includes stock options, equity, or restricted stock units (RSUs), which are common in tech startups and large tech companies. Benefits such as health insurance, retirement plans, and other perks also form part of the total compensation package.

Increasing Salary Further

To increase your salary beyond the median of USD 208,000, consider the following strategies:

• Specialize in Niche Areas: Expertise in emerging areas like deep learning, reinforcement learning, or AI ethics can make you more valuable.

• Leadership Roles: Transitioning into roles such as AI Team Lead or Director of Machine Learning can significantly boost your salary.

• Consulting or Freelancing: Offering your expertise as a consultant or freelancer can provide additional income streams.

• Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML to remain competitive.

Educational Requirements

For a Senior-level Machine Learning Developer position, the most common educational requirements include:

• Advanced Degrees: A Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field is often preferred.

• Strong Mathematical Foundation: Courses in statistics, linear algebra, and calculus are crucial for understanding machine learning algorithms.

• Programming Skills: Proficiency in programming languages such as Python, R, or Java is essential.

Helpful Certificates

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

• TensorFlow Developer Certificate: Demonstrates proficiency in building and deploying machine learning models using TensorFlow.

• AWS Certified Machine Learning – Specialty: Validates expertise in using AWS services for machine learning.

• Microsoft Certified: Azure AI Engineer Associate: Focuses on implementing AI solutions on Microsoft Azure.

Required Experience

Typically, a Senior-level Machine Learning Developer is expected to have:

• 5-10 Years of Experience: In roles related to data science, machine learning, or software development.

• Project Leadership: Experience in leading machine learning projects from conception to deployment.

• Domain Expertise: Experience in specific industries such as finance, healthcare, or technology can be advantageous.

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