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Remote Deep Learning Jobs (NOW HIRING)

Azumo

Data Scientist, Applied AI - Remote

The position is FULLY REMOTE , based in Latin America. Professional English proficiency (B2/C1 ... If you have a passion for designing and implementing advanced machine learning and deep learning ...

Sunergi Inc

$110K - $140K/yr

Previous experience with statistical modeling and deep learning frameworks / libraries we use is required. * Strong aptitude for learning new technologies related to Data Management and Data Science.

Motional

Staff Machine Learning Engineer

Apply a broad toolkit of ML techniques (deep learning, representation learning, active learning ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Motional

Staff Machine Learning Engineer

Boston, MA · On-site +1

Apply a broad toolkit of ML techniques (deep learning, representation learning, active learning ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

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$11K

$83.9K

$140K

How much do remote deep learning jobs pay per year?

As of May 29, 2026, the average yearly pay for remote deep learning in the United States is $83,885.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,000.00 and $139,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Deep Learning Engineer, and why are they important?

To thrive as a Remote Deep Learning Engineer, you need strong programming skills in Python, a deep understanding of machine learning algorithms, and typically a degree in computer science, engineering, or a related field. Proficiency with frameworks like TensorFlow or PyTorch, as well as cloud computing platforms such as AWS or Google Cloud, is essential, and certifications in these technologies can be advantageous. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These skills ensure effective development, deployment, and maintenance of deep learning models while working independently in distributed teams.

What are some common challenges faced by remote deep learning engineers, and how can they be addressed?

Remote deep learning engineers often encounter challenges such as limited access to high-performance computing resources, communication barriers with distributed teams, and difficulties in collaborating on large codebases or datasets. These issues can be mitigated by leveraging cloud-based platforms for scalable computing, using clear communication tools like Slack or Zoom for regular check-ins, and employing version control systems like Git for collaborative code management. Proactively setting up workflows and documentation helps ensure smooth collaboration and project continuity within a remote environment.

What is a Remote Deep Learning job?

A Remote Deep Learning job involves working with artificial intelligence and machine learning models, particularly using deep neural networks, from a location outside a traditional office, often from home. Professionals in this field design, build, and optimize algorithms that enable computers to learn from large amounts of data. They often work on projects such as image and speech recognition, natural language processing, or autonomous systems. The remote aspect allows flexibility and access to global opportunities, but requires strong communication skills and the ability to collaborate virtually with teams.

What is the difference between Remote Deep Learning vs Remote Machine Learning Engineer?

AspectRemote Deep LearningRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with neural networksBachelor's/Master's in CS, Data Science, or related; experience with algorithms and data modeling
Work EnvironmentCollaborative teams, research-focused, often in tech or AI companiesDevelopment teams, data-driven projects, across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, e-commerce

Remote Deep Learning specialists focus on designing and training neural networks for AI applications, often requiring advanced knowledge of deep neural architectures. Remote Machine Learning Engineers work on developing algorithms and models for broader data analysis and predictive tasks. While both roles involve machine learning, deep learning emphasizes neural networks, whereas machine learning engineers may work with a variety of algorithms across industries.

More about Remote Deep Learning jobs
What cities are hiring for Remote Deep Learning jobs? Cities with the most Remote 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 Remote Deep Learning jobs? States with the most job openings for Remote Deep Learning jobs include:
What job categories do people searching Remote Deep Learning jobs look for? The top searched job categories for Remote Deep Learning jobs are:
Remote Deep Learning jobs near you
Infographic showing various Remote Deep Learning job openings in the United States as of May 2026, with employment types broken down into 65% Full Time, 32% Part Time, 1% Temporary, and 2% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $83,885 per year, or $40.3 per hour.
Postdoctoral Research Associate: GeoAI and Remote Sensing for Invasive Species Ecology

Postdoctoral Research Associate: GeoAI and Remote Sensing for Invasive Species Ecology

University of Florida

Gainesville, FL • On-site, Remote

Full-time

Posted 16 days ago

University Of Florida rating

7.3

Company rating: 7.3 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

304th of 529 rated colleges and universities

Job description

Postdoctoral Research Associate: GeoAI and Remote Sensing for Invasive Species Ecology
Job no: 537559
Work type: Post Doc Associate
Location: Main Campus (Gainesville, FL)
Categories: Computer Science, Grant or Research Administration, Artificial Intelligence, Physical/Mathematical Sciences
Department:16220000 - LS-GEOGRAPHY
Classification Title:
Postdoctoral Associate
Classification Minimum Requirements:
  • A Ph.D. (by the start date) in Remote Sensing, Geography, Biology, Geospatial Science, Environmental Science, Ecology, or a closely related field.
  • Demonstrated expertise in processing and analyzing remote sensing data (hyperspectral and/or Lidar is a strong plus).
  • Strong proficiency in programming, particularly in Python and GEE for geospatial analysis and data science.
  • Experience with machine learning/deep learning frameworks (e.g., PyTorch, TensorFlow) applied to image or geospatial data.
  • A track record of first-author publications in peer-reviewed journals.
  • Excellent communication, collaboration, and writing skills.

Job Description:
The Geospatial Artificial Intelligence (GeoAI) Lab at the University of Florida, led by Dr. Di Yang, is seeking a highly motivated Postdoctoral Research Associate to join a new, multi-institutional research project focused on the invasive grass Ventenata dubia (VEDU). This project is a collaboration with leading experts at the University of Montana (Spatial Analysis Lab) and Boise State University.
The successful candidate will lead the development and implementation of cutting-edge remote sensing and machine learning techniques to address critical questions about invasive species surveillance and invasion dynamics. Key research themes include: 1) characterizing invasion resistance, 2) assessing the role of phenotypic plasticity in its competitive success, and 3) developing robust methods for spectral phenotyping using ground, drone, and satellite-based sensors. This position offers a unique opportunity to work at the intersection of remote sensing, spectranomics, genetic analysis, GeoAI, and invasion ecology within a dynamic, collaborative team.
Responsibilities:
  • Design and lead remote sensing data acquisition campaigns using multi-scale platforms, including ground-based spectrometers, UAVs (optical, Lidar), and satellite imagery (e.g., Planet, Sentinel, Landsat).
  • Develop and apply advanced machine learning and deep learning models (GeoAI) for fusing, analyzing, and interpreting multi-sensor data to track invasion species patterns
  • Create novel analytical workflows to build calibration equations for discriminating VEDU from other co-occurring grass species.
  • Integrate remote sensing-derived products with in-situ ecological data (e.g., canopy cover, height, alpha diversity, chemistry, soil texture, disturbance intensity) to model invasion dynamics and resilience across landscapes.
  • Collaborate closely with project partners to synthesize findings and build follow-on funding opportunities.
  • Lead the preparation of high-impact, peer-reviewed publications.
  • Present research findings at national and international scientific conferences.
  • Mentor graduate and undergraduate student in the GeoDI (Geospatial Digital Informatics) Lab.
UF is the state's oldest, largest, and most comprehensive land grant university with an enrollment of over 50,000 students and was ranked 7th in the country among public universities (US News and World Report 2025 rankings), and 1st among public institutions in the Wall Street Journal 2023 survey. UF is located in Gainesville, a city of approximately 150,000 residents in North-Central Florida, 50 miles from the Gulf of Mexico, and 67 miles from the Atlantic Ocean, and within a 2-hour drive to large metropolitan areas (Orlando, Tampa, Jacksonville). The beautiful climate and extensive nearby parks and recreational areas afford year-round outdoor activities, including hiking, biking, and nature photography. UF's large college sports programs, museums, and performing arts center support a range of activities and cultural events for residents to enjoy. Alachua County schools are highly rated and offer a variety of programs including magnet schools and an international baccalaureate program. Learn more about what Gainesville has to offer at Visit Gainesville.
Expected Salary:
The salary is competitive and commensurate with qualifications and experience, and the compensation includes a full benefits package. To see more, visit, benefits.hr.ufl.ed.
Required Qualifications:
  • A Ph.D. (by the start date) in Remote Sensing, Geography, Biology, Geospatial Science, Environmental Science, Ecology, or a closely related field.
  • Demonstrated expertise in processing and analyzing remote sensing data (hyperspectral and/or Lidar is a strong plus).
  • Strong proficiency in programming, particularly in Python and GEE for geospatial analysis and data science.
  • Experience with machine learning/deep learning frameworks (e.g., PyTorch, TensorFlow) applied to image or geospatial data.
  • A track record of first-author publications in peer-reviewed journals.
  • Excellent communication, collaboration, and writing skills.

Preferred:
  • Experience in plant ecology, invasion science, or agronomy.
  • Specific expertise in reflectance spectroscopy and chemometrics for vegetation analysis or high-throughput phenotyping.
  • A strong background in GeoAI, computer vision, and data fusion techniques.
  • Experience designing UAV-based remote sensing campaigns.
  • Experience leading ground-based vegetation surveys.
  • Demonstrated ability to work effectively in a collaborative, interdisciplinary research team.

Special Instructions to Applicants:
For full consideration, applications must be submitted online. Click on Apply Now at the top of this posting.
A complete application includes (1) a letter (max 2 pages) of application summarizing the applicant's qualifications, interests, and suitability for the position, (2) a complete curriculum vitae, (3) a statement on research goals, and (4) a list of three references. After initial review, letters of recommendation will be requested from the references for selected applicants.
Applications will be reviewed on a rolling basis starting immediately and will continue until the position is filled. The intended start date is flexible, ideally for the Spring 2026 semester. This is a full-time, 12-month appointment with the potential based on performance and funding availability.
Review of applications will be conducted on a rolling basis, with the first review beginning on November 15th.
All candidates for employment are subject to a pre-employment screening which includes a review of criminal records, reference checks, and verification of education.
The selected candidate will be required to provide an official transcript to the hiring department upon hire. A transcript will not be considered "official" if a designation of "Issued to Student" is visible. Degrees earned from an educational institution outside of the United States require evaluation by a professional credentialing service provider approved by the National Association of Credential Evaluation Services (NACES), which can be found at http://www.naces.org/.
Health Assessment Required:No
Advertised: 16 Oct 2025 Eastern Daylight Time
Applications close:
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About University of Florida

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The University of Florida is one of the top ranked public universities in the United States (ranked top 5 amongst public universities in 2023 US news and world report). It is one of only a few comprehensive universities, having medical, veterinary, dental, nursing, public health, and engineering disciplines all co-localized on the same, contiguous campus to facilitate interdisciplinary collaboration. Gainesville is located in the northern region of Florida, within 1-1.5 hours of each coast, and just 1.5-2 hours to Orlando and Tampa. It is a small to medium-sized city with a low cost of living, excellent public and private schools, and southern hospitality. While Gainesville is widely recognized as the home of the Gators, it is quickly becoming known as a center for innovation and a place with a lifestyle that's comfortable for families, yet attractive for young professionals.

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Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Gainesville, FL, US

Year founded

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