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Contractual Deep Learning Jobs (NOW HIRING)

UCB

Learning Lead Immunology US

Atlanta, GA · Hybrid

Deep expertise in adult learning principles and behaviorchange methodologies Preferred Requirements ... contractual agreement. If your current working arrangements differ, please contact your Talent ...

Kitware

Software Engineer

Carrboro, NC · On-site

$75K - $95K/yr

Due to contractual requirements, only U.S. citizens will be considered for this position * If not ... Experience with deep learning libraries (PyTorch, TensorFlow, etc.) * Familiarity both classical ...

Kitware

Software Engineer

Carrboro, NC · On-site

$75K - $95K/yr

Due to contractual requirements, only U.S. citizens will be considered for this position * If not ... Experience with deep learning libraries (PyTorch, TensorFlow, etc.) * Familiarity both classical ...

Kitware

Software Engineer

Carrboro, NC

$75K - $95K/yr

Due to contractual requirements, only U.S. citizens will be considered for this position * If not ... Experience with deep learning libraries (PyTorch, TensorFlow, etc.) * Familiarity both classical ...

Steampunk

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Experience with Deep Learning methodology and state of the art libraries * Knowledge of data ... limited to geographic location, contractual requirements, education, knowledge, skills ...

Kitware

3D Computer Vision Researcher

Clifton Park, NY · On-site

$125K - $170K/yr

Our solutions embrace deep learning and add measurable value to government agencies, commercial ... Due to contractual restrictions, only US Citizens will be considered for this position * If not ...

Kitware

3D Computer Vision Researcher

Arlington, VA

$155K - $215K/yr

Our solutions embrace deep learning and add measurable value to government agencies, commercial ... Due to contractual restrictions, only US Citizens will be considered for this position * If not ...

Steampunk

Data Scientist

Mclean, VA · On-site +1

$125K - $160K/yr

Experience with Deep Learning methodology and state of the art libraries * Knowledge of data ... limited to geographic location, contractual requirements, education, knowledge, skills ...

Kitware

3D Computer Vision Researcher

Arlington, VA

$155K - $215K/yr

Our solutions embrace deep learning and add measurable value to government agencies, commercial ... Due to contractual restrictions, only US Citizens will be considered for this position * If not ...

Kitware

3D Computer Vision Researcher

Arlington, VA · On-site

$155K - $215K/yr

Our solutions embrace deep learning and add measurable value to government agencies, commercial ... Due to contractual restrictions, only US Citizens will be considered for this position * If not ...

Steampunk

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Experience with Deep Learning methodology and state of the art libraries * Knowledge of data ... limited to geographic location, contractual requirements, education, knowledge, skills ...

Bridge Core (BCore)

AI/ML Engineer

Mclean, VA · On-site

$185K - $225K/yr

Advanced research experience in machine learning, deep learning, natural language processing ... and contractual requirements. This is not a guarantee. * Benefits include Health/Dental/Vision ...

Bridge Core (BCore)

AI/ML Engineer

Mclean, VA

$185K - $225K/yr

Advanced research experience in machine learning, deep learning, natural language processing ... and contractual requirements. This is not a guarantee. * Benefits include Health/Dental/Vision ...

GeoYeti

AI/ML Engineer

Mclean, VA · On-site

$185K - $225K/yr

Advanced research experience in machine learning, deep learning, natural language processing ... and contractual requirements. This is not a guarantee. * Benefits include Health/Dental/Vision ...

New

Bridge Core (BCore)

AI/ML Engineer

Mclean, VA · On-site

$185K - $225K/yr

Advanced research experience in machine learning, deep learning, natural language processing ... and contractual requirements. This is not a guarantee. * Benefits include Health/Dental/Vision ...

GeoYeti

AI/ML Engineer

Mclean, VA

$185K - $225K/yr

Advanced research experience in machine learning, deep learning, natural language processing ... and contractual requirements. This is not a guarantee. * Benefits include Health/Dental/Vision ...

Kitware

3D Computer Vision Researcher

New York, NY · On-site

$125K - $170K/yr

Our solutions embrace deep learning and add measurable value to government agencies, commercial ... Due to contractual restrictions, only US Citizens will be considered for this position * If not ...

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All JobsContractual Deep Learning Jobs

Contractual Deep Learning information

See salary details

$47K

$81.4K

$183.5K

How much do contractual deep learning jobs pay per year?

As of Jul 10, 2026, the average yearly pay for contractual deep learning in the United States is $81,368.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $89,000.00 per year, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Contractual Deep Learning roles are likely to persist in fields requiring specialized expertise, such as AI research, data science, and machine learning engineering. These jobs demand complex problem-solving, domain knowledge, and continuous adaptation, making them less susceptible to automation. Skills in programming, model development, and understanding of AI frameworks will remain valuable in these roles.

Will MLE be replaced by AI?

In the context of Contractual Deep Learning roles, Machine Learning Engineers (MLEs) focus on designing, developing, and deploying AI models. While AI automation tools can assist or streamline certain tasks, MLEs are essential for creating, tuning, and maintaining complex models, making complete replacement unlikely in the near term. Skills in programming, data handling, and model optimization remain critical for these roles.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, extensive experience, and may include stock options or bonuses as part of compensation.

What engineer makes $500,000 a year?

Highly experienced deep learning engineers working in specialized fields such as AI research, autonomous vehicles, or large-scale data centers can earn $500,000 or more annually, especially with senior roles, stock options, or bonuses. These positions often require advanced skills in neural networks, programming, and cloud computing, along with a strong track record of innovation and leadership.
More about Contractual Deep Learning jobs
What cities are hiring for Contractual Deep Learning jobs? Cities with the most Contractual Deep Learning job openings:
What are the most commonly searched types of Deep Learning jobs? The most popular types of Deep Learning jobs are:
What states have the most Contractual Deep Learning jobs? States with the most job openings for Contractual Deep Learning jobs include:
What job categories do people searching Contractual Deep Learning jobs look for? The top searched job categories for Contractual Deep Learning jobs are:
Contractual Deep Learning jobs near you
Infographic showing various Contractual Deep Learning job openings in the United States as of July 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $81,368 per year, or $39.1 per hour.
Postdoctoral Research Fellow, Environment and Sustainability Studies

Postdoctoral Research Fellow, Environment and Sustainability Studies

Wake Forest University

Winston Salem, NC • On-site

Full-time

Re-posted 6 days ago

Wake Forest University rating

8.4

Company rating: 8.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

79th of 546 rated colleges and universities

Job description

External Applicants:
Please ensure all required documents are ready to upload before beginning your application, including your resume, cover letter, and any additional materials specified in the job description.
Cover Letter and Supporting Documents:
  • Navigate to the "My Experience" application page.
  • Locate the "Resume/CV" document upload section at the bottom of the page.
  • Use the "Select Files" button to upload your cover letter, resume, and any other required supporting documents. You can select multiple files.

Important Note: The "My Experience" page is the only opportunity to attach your cover letter, resume, and supporting documents. You will not be able to modify your application or add attachments after submission.
Current Employees:
Apply from your existing Workday account in the Jobs Hub. Do not apply from this website.
A cover letter is required for all positions; optional for facilities, campus services, and hospitality roles unless otherwise specified.
Job Description Summary
Wake Forest University invites applications for a postdoctoral research fellowship. The appointed candidate will collaborate closely with Dr. Ovidiu Csillik and collaborators to conduct cutting-edge research at the intersection of remote sensing, tropical forest carbon, and artificial intelligence (AI). The lab focuses on leveraging airborne and spaceborne lidar (such as GEDI), alongside field inventory measurements, to map and monitor forest degradation and carbon dynamics in tropical ecosystems. We particularly welcome applicants possessing a strong foundation in geospatial analysis, applied machine learning/deep learning, forest ecology, and large-scale remote sensing data processing. The successful candidates will participate in preparing presentations and scholarly articles for publication in high-tier journals. Additionally, the candidates will assist in mentoring research assistants and supporting the preparation of technical proposals.
This position is available on a one-year contractual basis, with the possibility of extension based on performance and funding availability.
Employment Terms: The position is for 1 year.
Job Description
This position is not eligible for sponsorship of non-immigrant or immigrant visa status through Wake Forest University. All eligible applicants are encouraged to apply.
Essential Functions:
  • Develops and implements advanced statistics, AI, and machine learning algorithms to process and analyze large-scale remote sensing datasets, specifically airborne lidar and spaceborne lidar (GEDI).
  • Integrates field inventory measurements with remote sensing data to model tropical forest carbon stocks and monitor forest degradation.
  • Plans and conduct field campaigns to collect high-resolution structural and ecological data using drones (UAVs) and terrestrial lidar systems.
  • Write project reports, journal articles, conference papers, and presentations to disseminate research findings.
  • Supports technical proposal preparation for developing new projects and securing grant funding.
  • Contributes to the training and mentoring of undergraduate research students in the lab.

Required Education, Knowledge, Skills, Abilities:
  • PhD or All but Dissertation (ABD) in Environmental Science, Forestry, Geography, Earth System Science, Computer Science, or other closely related disciplines.
  • Strong publication record in the areas of remote sensing, forest ecology, carbon modeling, or applied machine learning.
  • Demonstrated experience in planning and executing field data collection using drones and/or terrestrial lidar.
  • Demonstrated skill in developing code for geospatial data analysis and machine learning using Python, R, and Google Earth Engine.
  • Profound knowledge and hands-on experience in processing airborne lidar and spaceborne lidar (GEDI) datasets.
  • Experience with field inventory data and statistical approaches for scaling plot-level measurements to regional or global scales.
  • Outstanding skills in interpersonal communication, scientific writing, and effective time management.
  • Capability to work independently and collaboratively in a cooperative team setting.

Preferred Education, Knowledge, Skills, Abilities:
  • Specific research experience working with tropical forest ecosystems and mapping forest degradation.
  • Proficiency with advanced computer vision and deep learning techniques applied to satellite imagery and 3D point cloud data.
  • Experience with high-performance computing (HPC) or cloud computing environments for handling massive geospatial datasets.
  • FAA Part 107 Remote Pilot Certificate for commercial drone operations.

Accountabilities:
  • Responsible for own work.

Physical Requirements:
  • Moderate physical activity: Mainly working on computer algorithms and large-scale data analysis. Conducting fieldwork may require hiking, carry equipment (such as drones), and navigate forested environments.

Environmental Conditions:
  • No environmental conditions.

Additional Job Description
Time Type Requirement
Full time
Note to Applicant:
This position profile identifies the key responsibilities and expectations for performance. It cannot encompass all specific job tasks that an employee may be required to perform. Employees are required to follow any other job-related instructions and perform job-related duties as may be reasonably assigned by his/her supervisor.
In order to provide a safe and productive learning and living community, Wake Forest University conducts background investigations and drug screens for all final staff candidates being considered for employment.
Equal Opportunity Statement
The University is an equal opportunity employer and welcomes all qualified candidates to apply without regard to race, color, religion, national origin, sex, age, sexual orientation, gender identity and expression, genetic information, disability and military or veteran status.
Accommodations for Applicants
If you are an individual with a disability and need an accommodation to participate in the application or interview process, please contact AskHR@wfu.edu or (336) 758-4700.

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