Interested in this AI/ML Engineer role at Smithsonian Institution?
Apply Now →About This Role
Summary
The Smithsonian Institution is the world’s largest museum, education, and research complex, with 21 museums and the National Zoo. This position is located in Office of Digital and Innovation (ODI), Office of the Deputy Secretary, Smithsonian Institution (SI). ODI works centrally and within SI units to unlock the full potential of our collections and resources, better understand and serve our audiences, and pioneer innovative approaches to accelerate and scale our impact.
Learn more about this agency
Summary
The Smithsonian Institution is the world’s largest museum, education, and research complex, with 21 museums and the National Zoo. This position is located in Office of Digital and Innovation (ODI), Office of the Deputy Secretary, Smithsonian Institution (SI). ODI works centrally and within SI units to unlock the full potential of our collections and resources, better understand and serve our audiences, and pioneer innovative approaches to accelerate and scale our impact.
Learn more about this agency
Overview
Accepting applications This job will close when we have received 150 applications which may be sooner than the closing date. Learn more Location Anywhere in the U.S. (remote job) FEW vacancies No matching locations found. Work site options Telework eligible Not applicable, this is a remote position. Remote job Yes Relocation expenses reimbursed No Salary $107,446 - $139,684 per year Pay scale & grade GS 14 Promotion potential 14 Learn more about pay scale and grade Pay scale and grade determines the salary of the job. Work schedule Full-time - Full-Time, Permanent Travel Required Occasional travel - May be required to travel within the DC Metropolitan Area Appointment type Permanent - Federal Occupations and job series
- 2210 Information Technology Management
Supervisory status No Federal service type This job is in the Competitive Service Represented by a union Yes - 1104 Drug test No Security clearance Other Position sensitivity and risk Moderate Risk (MR) Jobs require a background check and some require a security clearance. The type depends on the job. Background check type
- Credentialing
- Suitability/Fitness
Financial disclosure required No Some jobs require financial disclosure to identify conflicts of interests. Announcement number 26A-ID-314512-MPA-ODI Control number 886890600 This job is open to
Internal to an agency
Current federal employees of the hiring agency that posted the job announcement.
Clarification from the agency
Current Smithsonian Institution Internal Employees/Agency Employees Only may apply including current Smithsonian Institution employees with Federal career/career-conditional status or eligibility. More than one selection may be made from this announcement.
Duties
This position decides on, leads and oversees SI’s digital asset services function and provides enterprise leadership for the systems, platforms, services and operational capabilities that support the: capture, information management, preservation, integration, discovery, access and complete lifecycle management of digital assets and collections information.
In this position, you will:
- Apply software tools used by biodiversity genomics and informatics researchers in order to carry out software analysis, design, development, modification and implementation to develop, modify and enhance workflows for scientific researchers.
- Develop, implement and test algorithms and analytic techniques to create informatics tools (to process data for storage and retrieval) and enhance informatic workflows for biodiversity genomics research, informatics research and other biological and environmental scientific research.
- Perform collaborative research in the area of biodiversity genomics and machine learning. This involves the development and implementation of algorithms, and analysis, design, development, and implementation of new workflows that exploit the needed biodiversity genomics and machine learning toolset.
- Advise the data science research community, cochairs the artificial intelligence (AI) community of practice working group, builds a use-case inventory and writes AI policy for the Institution. Serves as a member of the AI Review Committee.
Work closely with the IT professionals who manage, implement, test and debug the high-performance computing cluster (HPCC) and networking infrastructure, acting as translators and advocates for the research community to ensure the appropriate evolution of the technical infrastructure that underlies the research environment Smithsonian-wide. * Requirements
Conditions of employment
- Requires career/career-conditional status or eligibility.
- Males born after 12/31/59 must be registered with Selective Service.
Conditions of Employment
Qualification requirements, including one year time-in-grade at the next lower grade level for promotion candidates, must be met within 30 days of the job announcement closing date. See the 'Required Documents' section for additional information.
For information on qualification requirements, see Qualification Standards Handbook for General Schedule Positions viewable on OPM Website.
Qualifications
GS-14 Experience: You qualify for this position if you have one year of specialized experience equivalent to at least the GS-13 level in the Federal Service. For this position, specialized experience is defined as:
- Application of Software and Programming Tools, Data Analysis, Collaboration, Data Science, and IT Requirements.
- Gathering Developing computational workflows, analytical methods, software applications, or machine learning solutions for scientific research.
- Using programming languages, statistical packages, and scientific computing tools to analyze complex research data.
- Developing informatics tools or data-processing pipelines for data storage, retrieval, analysis, modeling, or visualization.
- Collaborating with multidisciplinary research teams to implement computational solutions and research technologies.
- Advising researchers on data science methods, AI applications, research computing resources, or high-performance computing environments.
- Translating scientific or technical requirements into computing infrastructure, software, or workflow solutions.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
Part-time and/or unpaid experience related to this position will be considered to determine the total number of years and months of experience. Be sure to note the number of paid or unpaid hours worked each week.
In addition to meeting the Specialized Experience for all positions individuals must have related experience demonstrating each of the four competencies listed below:
Attention to Detail: Is thorough when performing work and conscientious about attending to detail.
Customer Service: Anticipates and meets the needs of both internal and external business partners and customers (any individuals who use or receive the services or products that your work unity produces including the general public, individuals who work in the agency, other agencies, or organizations outside the Government). Provides information or assistance. Delivers high-quality products and services; is committed to continuous improvement. Effectively manages customer relationships.
Oral Communication: Makes clear and convincing oral presentations to individuals and groups. Listens effectively; clarifies information, as needed. Speaks and writes in a clear, concise, organized, and convincing manner that is appropriate to the audience. Facilitates an open exchange of ideas to ensure all group input is considered. Handles technical, sensitive, or controversial topics with agility involving executives/managers as appropriate.
Problem Solving: Identifies and analyzes problems, weighs relevance and accuracy of information, generates and evaluates alternative solutions, and makes sound recommendations.
The employing agency is responsible for identifying the specific level of proficiency required for each competency at each grade level based on the requirements of the position being filled.
Your resume must be no more than two (2) pages and should clearly demonstrate how your experience aligns with the responsibilities and specialized experience required for this position. Do not copy language directly from the vacancy announcement, as you will be deemed ineligible for consideration. Instead, provide detailed, descriptive information about your actual experience.
In an effort to streamline our hiring process, SI employees whose current position of record is in the same job series (2210) and who are in a Federal competitive service appointment as this advertised position, are not required to submit a transcript with your application package. However, if selected, you will be required to provide a copy of your transcript before your start date in the position.
Time-in-Grade Requirements: Under competitive merit promotion procedures, any individual who is currently holding, or who has held within the previous 52 weeks, a General Schedule position under a non-temporary appointment in the competitive or excepted service, must meet "time-in-grade" requirements (have served 52 weeks at the next lower grade of the grade for which you are applying).
Education
There are no education requirements or substitution for this position at the GS-14 grade level.
Additional information
This position is included in the bargaining unit.
Recruitment Incentive: Recruitment incentive(s) may be authorized for this position. However, approval for incentives are contingent upon various availability. If authorized, certain incentives will require the incumbent to sign a service agreement to remain in the Federal government for a certain time period.
Note: This statement does not imply nor guarantee an incentive will be offered and paid.
Selections may be made for vacancies across the Smithsonian Institution (SI). By applying to this position, you agree to allow your application and other personal information to be shared with one or more SI hiring officials for employment consideration for same/similar positions within the location(s) identified in this announcement.
ATTENTION: Due to the large number of qualified applicants for positions of this type, this job announcement will close at 11:59 pm Eastern Time on either: (A) The closing date listed above or (B) The date that 150 applications are received; whichever occurs first. We will not consider applications which are late due to the announcement closing date or once the above number of applications is reached.
Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.
Benefits
The Smithsonian offers a comprehensive benefits package that includes, in part, vacation and sick leave, holidays, health/life insurance, accident insurance, and excellent retirement program options.
Please see Benefits at https://www.si.edu/OHR/benefits for a complete description.
Flexible Spending Accounts - https://www.fsafeds.com/
Health Insurance - http://www.opm.gov/insure/health/index.asp
Leave - http://www.opm.gov/oca/leave/index.asp
Life Insurance - http://www.opm.gov/insure/life/index.asp
Long Term Care Insurance - http://www.ltcfeds.com
Retirement Program - https://www.opm.gov/retirement-services/
How you will be evaluated
You will be evaluated for this job based on how well you meet the qualifications above.
Your application will be evaluated first for the basic qualifications described above. The applications that meet the basic qualifications will be evaluated further against the following criteria:
- Ability to apply software tools used by biodiversity genomics and informatics researchers to lead temporary project teams to carry out software analysis, design, development, modification and implementation to develop, modify and enhance analytic workflows for scientific researchers, gained through work experience.
- Ability to develop, test, and apply analytical methods, computational algorithms, and software-based workflows to process, organize, and analyze complex scientific data in support of research objectives.
- Ability to lead and contribute to collaborative scientific and technical projects by building effective partnerships, communicating complex information, coordinating project activities, and applying technical expertise to develop, implement, and disseminate innovative research solutions.
- Ability to design, implement, and improve data science methods, workflows, and governance practices that support research objectives, enable effective use of data and computing resources, and promote the responsible application of emerging technologies.
- Ability to develop, implement, test and debug high-performance computing clusters (HPCC), and networking infrastructure for several research organizations that are integrated together in one system, gained through work experience.
Important Note:
Your resume and supporting documentation will be compared to your responses to the occupational questionnaire or other assessment tool for consistency. If a determination is made that you have rated yourself higher than is supported by your resume, you will be assigned a rating commensurate to your described experience. Your resume should provide detailed information regarding how your education and experience relate to this position, including the major duties and qualifications criteria listed.
You may preview questions for this vacancy. Benefits
The Smithsonian offers a comprehensive benefits package that includes, in part, vacation and sick leave, holidays, health/life insurance, accident insurance, and excellent retirement program options.
Please see Benefits at https://www.si.edu/OHR/benefits for a complete description.
Flexible Spending Accounts - https://www.fsafeds.com/
Health Insurance - http://www.opm.gov/insure/health/index.asp
Leave - http://www.opm.gov/oca/leave/index.asp
Life Insurance - http://www.opm.gov/insure/life/index.asp
Long Term Care Insurance - http://www.ltcfeds.com
Retirement Program - https://www.opm.gov/retirement-services/
Required documents
Required Documents
Your application package should include the following documents:
- Resume - Your resume can be uploaded and attached to your application or created using the USA Jobs on-line resume builder. Ensure your resume contains the job title (including the occupational series and grade if it is Federal), job-related qualifications, starting and ending dates (month and year), and hours worked per week, for each employment period. It is your responsibility to ensure all information is submitted. Failure to include this information may result in disqualification for the position.
For assistance with creating a resume, please click USAJOBS Center - How do I write a resume for a federal job?
- Current and former employees MUST submit a copy of their Standard Form (SF)-50, “Notice of Personnel Action,” that indicates proof of status and time-in-grade eligibility. SI Trust employees are ineligible for Merit Promotion consideration unless you submit a Standard Form (SF) - 50, "Notice of Personnel Action", that indicates proof you previously held a 'status' position and proof of time-in-grade. The SF-50 must include your position title, series, grade, step, salary, type of service (competitive or excepted in block 34), and tenure (1 or 2 in block 24). Please provide a SF-50 that shows the length of time you have been in your current/highest grade level. Examples of appropriate SF50s include: Appointments, Reassignments, Within-grade/range increases or Promotion actions. NOTE: Pay adjustments and award SF-50s do not include the length of time in your current position, therefore, they are NOT acceptable SF-50’s on their own. You may need to provide more than one SF-50. Failure to provide the appropriate SF-50(s) may prevent you from receiving consideration for this position.
- Unofficial school transcripts, if the position has an education requirement or if you are using education to qualify. If selected for the position, you must provide an official transcript before appointment.
- Proof of U.S. accreditation for foreign study, if applicable.
If you are relying on your education to meet qualification requirements:
Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education.
Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating.
How to Apply
Click on the "Apply Online" button on the upper right side of the page.
Please Note:
- You must apply for this position online through the 'Apply Online' button and submit required supplemental documents (if they are relevant to you).
- Your resume must be no more than two (2) pages.
- You may submit required documents by uploading them online during the application process.
- The complete application package, including any required documents, is due in the Smithsonian Office of Human Resources on the closing date of the announcement by 11:59 PM Eastern Time.
- If you are unable to apply online, paper applications may be accepted with prior approval of the Contact Person listed below.
Agency contact information
HR Specialist Phone 202-633-6232 Email [email protected] Address SMITHSONIAN
Office of Human Resources
600 Maryland Avenue SW
Suite 7001W, MRC 517
Washington, District of Columbia 20024
United States
Next steps
At the end of the application process you will be able to create and save a PDF file that contains your responses to the assessment questions. You may save this file as initial receipt of your application. After the job announcement closes, you will receive an email from the Smithsonian with confirmation of receipt.
The Smithsonian receives many applications for each job. Each application is reviewed carefully which may take a few weeks. We will send you an e-mail to update you as we go through phases of the application review process. You may also check your application status by logging into www.usajobs.gov and selecting the tab "My USAJOBS;" e-mailing [email protected]; or by contacting the Office of Human Resources Representative listed.
Additional Information:
- Tips on applying for Smithsonian jobs are available at https://www.si.edu/OHR/howtoapply.
- The Smithsonian does not pay relocation expenses.
- The Smithsonian Institution is an equal opportunity employer. Additional information can be found on our website at (www.si.edu/oeesd).
Fair and transparent
The Federal hiring process is set up to be fair and transparent. Please read the following guidance.
Criminal history inquiries Equal Employment Opportunity (EEO) Policy Financial suitability New employee probationary period Privacy Act Reasonable accommodation policy Selective Service Signature and false statements Social security number request Required Documents
Your application package should include the following documents:
- Resume - Your resume can be uploaded and attached to your application or created using the USA Jobs on-line resume builder. Ensure your resume contains the job title (including the occupational series and grade if it is Federal), job-related qualifications, starting and ending dates (month and year), and hours worked per week, for each employment period. It is your responsibility to ensure all information is submitted. Failure to include this information may result in disqualification for the position.
For assistance with creating a resume, please click USAJOBS Center - How do I write a resume for a federal job?
- Current and former employees MUST submit a copy of their Standard Form (SF)-50, “Notice of Personnel Action,” that indicates proof of status and time-in-grade eligibility. SI Trust employees are ineligible for Merit Promotion consideration unless you submit a Standard Form (SF) - 50, "Notice of Personnel Action", that indicates proof you previously held a 'status' position and proof of time-in-grade. The SF-50 must include your position title, series, grade, step, salary, type of service (competitive or excepted in block 34), and tenure (1 or 2 in block 24). Please provide a SF-50 that shows the length of time you have been in your current/highest grade level. Examples of appropriate SF50s include: Appointments, Reassignments, Within-grade/range increases or Promotion actions. NOTE: Pay adjustments and award SF-50s do not include the length of time in your current position, therefore, they are NOT acceptable SF-50’s on their own. You may need to provide more than one SF-50. Failure to provide the appropriate SF-50(s) may prevent you from receiving consideration for this position.
- Unofficial school transcripts, if the position has an education requirement or if you are using education to qualify. If selected for the position, you must provide an official transcript before appointment.
- Proof of U.S. accreditation for foreign study, if applicable.
If you are relying on your education to meet qualification requirements:
Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education.
Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating.
How to Apply
Click on the "Apply Online" button on the upper right side of the page.
Please Note:
- You must apply for this position online through the 'Apply Online' button and submit required supplemental documents (if they are relevant to you).
- Your resume must be no more than two (2) pages.
- You may submit required documents by uploading them online during the application process.
- The complete application package, including any required documents, is due in the Smithsonian Office of Human Resources on the closing date of the announcement by 11:59 PM Eastern Time.
- If you are unable to apply online, paper applications may be accepted with prior approval of the Contact Person listed below.
Agency contact information
HR Specialist Phone 202-633-6232 Email [email protected] Address SMITHSONIAN
Office of Human Resources
600 Maryland Avenue SW
Suite 7001W, MRC 517
Washington, District of Columbia 20024
United States
Next steps
At the end of the application process you will be able to create and save a PDF file that contains your responses to the assessment questions. You may save this file as initial receipt of your application. After the job announcement closes, you will receive an email from the Smithsonian with confirmation of receipt.
The Smithsonian receives many applications for each job. Each application is reviewed carefully which may take a few weeks. We will send you an e-mail to update you as we go through phases of the application review process. You may also check your application status by logging into www.usajobs.gov and selecting the tab "My USAJOBS;" e-mailing [email protected]; or by contacting the Office of Human Resources Representative listed.
Additional Information:
- Tips on applying for Smithsonian jobs are available at https://www.si.edu/OHR/howtoapply.
- The Smithsonian does not pay relocation expenses.
- The Smithsonian Institution is an equal opportunity employer. Additional information can be found on our website at (www.si.edu/oeesd).
Fair and transparent
The Federal hiring process is set up to be fair and transparent. Please read the following guidance.
Criminal history inquiries Equal Employment Opportunity (EEO) Policy Financial suitability New employee probationary period Privacy Act Reasonable accommodation policy Selective Service Signature and false statements Social security number request
Salary Context
This $107K-$139K range is in the lower quartile for AI/ML Engineer roles in our dataset (median: $175K across 1356 roles with salary data).
View full AI/ML Engineer salary data →Role Details
About This Role
AI/ML Engineers build and deploy machine learning models in production. They work across the full ML lifecycle: data pipelines, model training, evaluation, and serving infrastructure. The role has evolved significantly over the past two years. Where ML Engineers once spent most of their time on model architecture, the job now tilts heavily toward inference optimization, cost management, and integrating LLM capabilities into existing systems. Companies want engineers who can ship production systems, and the experimenter-only role is fading fast.
Day-to-day, you're writing training pipelines, debugging data quality issues, setting up evaluation frameworks, and figuring out why your model performs differently in staging than it did on your dev set. The best ML engineers are obsessive about reproducibility and measurement. They instrument everything. They know that a model is only as good as the data feeding it and the infrastructure serving it.
Across the 8,943 AI roles we're tracking, AI/ML Engineer positions make up 75% of the market. At Smithsonian Institution, this role fits into their broader AI and engineering organization.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
What the Work Looks Like
A typical week might include: debugging a data pipeline that's silently dropping 3% of training examples, running A/B tests on a new model version, writing documentation for a feature flag system that lets you roll back model deployments, and reviewing a junior engineer's PR for a new evaluation metric. Meetings tend to be cross-functional since ML touches product, engineering, and data teams.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
Skills in Demand for This Role
Python and PyTorch dominate the requirements. Most roles expect experience with cloud platforms (AWS, GCP, or Azure) and familiarity with ML frameworks like TensorFlow or JAX. RAG (Retrieval-Augmented Generation) has become a top-3 skill requirement as companies integrate LLMs into their products. Docker and Kubernetes show up in about a third of postings, reflecting the production focus of the role.
Beyond the core stack, employers increasingly want experience with experiment tracking tools (MLflow, Weights & Biases), feature stores, and vector databases. Fine-tuning experience is valuable but less common than you'd think from reading Twitter. Most production LLM work is RAG and prompt engineering, not fine-tuning. If you have both, you're in a strong position.
Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
Compensation Benchmarks
AI/ML Engineer roles pay a median of $212,000 based on 11,866 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $193,200. This role's midpoint ($123K) sits 42% below the category median. Disclosed range: $107K to $139K.
Across all AI roles, the market median is $213,380. Top-quartile compensation starts at $264,148. The 90th percentile reaches $319,310. For comparison, the highest-paying categories include AI Safety ($253,100) and Research Engineer ($252,000). By seniority level: Entry: $110,408; Mid: $193,200; Senior: $228,700; Director: $272,250; VP: $235,000.
Smithsonian Institution AI Hiring
Smithsonian Institution has 1 open AI role right now. They're hiring across AI/ML Engineer. Based in Remote, US. Compensation range: $139K - $139K.
Remote Work Context
Remote AI roles pay a median of $185,906 across 2,124 positions. About 6% of all AI roles offer remote work.
Career Path
Common paths into AI/ML Engineer roles include Data Scientist, Software Engineer, Research Engineer.
From here, career progression typically leads toward ML Architect, AI Engineering Manager, Principal ML Engineer.
The fastest path into ML engineering is through software engineering with a self-directed ML education. A CS degree helps, but production engineering skills matter more than academic credentials. Build something that works, deploy it, and measure it. That portfolio project is worth more than a Coursera certificate. For career growth, the fork comes around the senior level: go deep on technical complexity (staff/principal track) or move into managing ML teams.
What to Expect in Interviews
Expect system design questions around ML pipelines: how you'd build a training pipeline for a specific use case, handle data drift, or design A/B testing infrastructure for model deployments. Coding rounds typically involve Python, with emphasis on data manipulation (pandas, numpy) and algorithm implementation. Take-home assignments often ask you to build an end-to-end ML pipeline from raw data to deployed model.
When evaluating opportunities: Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
AI Hiring Overview
The AI job market has 8,943 open positions tracked in our dataset. By seniority: 175 entry-level, 4,132 mid-level, 3,268 senior, and 1,368 leadership roles (Director, VP, C-Level). Remote roles make up 6% of the market (521 positions). The remaining 8,351 roles require on-site or hybrid attendance.
The market median for AI roles is $213,380. Top-quartile compensation starts at $264,148. The 90th percentile reaches $319,310. Highest-paying categories: AI Safety ($253,100 median, 57 roles); Research Engineer ($252,000 median, 419 roles); AI Engineering Manager ($251,622 median, 51 roles).
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
The AI Job Market Today
The AI job market spans 8,943 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (6,739), AI Product Manager (403), AI Software Engineer (402). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (175) are outnumbered by mid-level (4,132) and senior (3,268) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 1,368 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 6% of all AI roles (521 positions), with 8,351 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $213,380. Top-quartile roles start at $264,148, and the 90th percentile reaches $319,310. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $253,100 median, while Prompt Engineer roles sit at $141,440. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,422 postings), Aws (808 postings), Azure (638 postings), Rag (555 postings), Gcp (457 postings), Pytorch (433 postings), Claude (341 postings), Kubernetes (337 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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