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Remote R&D Software Developer Jobs in Brooklyn, NY

GreenSpark

Software Engineer

New York, NY · On-site +1

Software Engineer - GreenSpark About GreenSpark GreenSpark is building the modern operating system ... Remote-first work environment * Mission-driven work culture focused on environmental impact

Turnblock.io

Software Engineer Remote (Web3)

New York, NY · Remote

$200K - $250K/yr

Software Engineer Opportunity Our client is on crypto's cutting-edge technology, and we're looking for the right engineers to join them. This is a remote position for any US-based candidate. Our ...

Shaped

Senior Software Engineer (Cloud)

Brooklyn, NY · On-site +1

$100K - $150K/yr

We're remote but have an office in Brooklyn, New York. We are looking for a software engineer with ... B.S., M.S., or Ph.D. in Computer Science or another technical field * 3+ years of industry ...

ArcSpan

Software Engineer (Remote)

New York, NY · Remote

Software Engineer Position: Software Engineer Location: New York, NY Experience: 4 6+ years Professional Experience ARCSPAN TECHNOLOGIES ArcSpan Technologies is an AI-native audience monetization ...

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All JobsRemote R&D Software Developer JobsRemote R&D Software Developer Jobs in Brooklyn, NY

Remote R D Software Developer information

See Brooklyn, NY salary details

$50.5K

$117.6K

$174.6K

How much do remote r&d software developer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for remote r&d software developer in Brooklyn, NY is $117,606.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $136,700.00 per year, depending on experience, location, and employer.

What is the difference between Remote R&D Software Developer vs Remote Software Engineer?

AspectRemote R&D Software DeveloperRemote Software Engineer
CredentialsBachelor's or higher in CS or related field; sometimes specialized certificationsBachelor's or higher in CS or related field; certifications vary
Work EnvironmentResearch labs, innovation teams, product developmentDevelopment teams, production environments, client projects
Industry UsageResearch institutions, tech companies focusing on innovationTech companies, startups, enterprise software firms
Search & Comparison IntentFocus on innovation, research, and development rolesFocus on building, deploying, and maintaining software

Remote R&D Software Developers primarily focus on research, innovation, and developing new technologies, often working in labs or specialized teams. Remote Software Engineers typically work on building, testing, and maintaining software products in production environments. While both roles require similar technical credentials, their work environments and objectives differ, with R&D roles emphasizing innovation and exploration.

What are the most commonly searched types of R&D Software Developer jobs in Brooklyn, NY? The most popular types of R&D Software Developer jobs in Brooklyn, NY are:
Remote R D Software Developer jobs near you
Infographic showing various Remote R&D Software Developer job openings in Brooklyn, NY as of June 2026, with employment types broken down into 50% Internship, and 50% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $117,606 per year, or $56.5 per hour.

Artificial Intelligence Software Engineer

4 Staffing Corp

Manhattan, NY • On-site, Remote

Other

Posted 16 days ago

Job description

Artificial Intelligence Software Engineer

New York, New York, United States Or refer someone Job Openings

About the Job Artificial Intelligence Software Engineer

Artificial Intelligence Software Engineer - Hybrid/Remote - NYC

No visa sponsorship available at this time.

Our client an up and coming innovative AI start-up is seeking a highly skilled and innovative Artificial Intelligence Software Engineer to join their dynamic team. In this role, you will be responsible for designing, developing, and implementing AI algorithms and software solutions to solve complex problems across various domains. The ideal candidate will have a strong background in machine learning, deep learning, and software development, with a passion for pushing the boundaries of AI technology.

Responsibilities:

  • Collaborate with cross-functional teams to understand project requirements and develop AI-driven solutions tailored to specific applications.
  • Design and implement machine learning algorithms and models for tasks such as classification, regression, clustering, and natural language processing.
  • Develop and optimize neural networks and deep learning architectures for tasks such as image recognition, speech recognition, and recommendation systems.
  • Collect, preprocess, and analyze large datasets to train and evaluate AI models, ensuring robust performance and generalization.
  • Implement scalable and efficient software solutions for deploying AI models in production environments, including cloud-based platforms and edge devices.
  • Collaborate with software engineers to integrate AI capabilities into existing software systems and develop AI-driven features and products.
  • Research and evaluate emerging technologies and techniques in machine learning and AI, staying abreast of advancements in algorithms, frameworks, and tools.
  • Document design specifications, implementation details, and best practices for internal and external stakeholders.
  • Provide technical guidance and mentorship to junior engineers and contribute to the overall technical expertise of the team.

Requirements:

  • Bachelor's degree in Computer Science, Electrical Engineering, or related field. Master's or Ph.D. preferred.
  • Proven experience in machine learning, deep learning, and AI software development, with a minimum of 3 years in a relevant role.
  • Proficiency in programming languages such as Python, Java, or C++, and experience with AI frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Strong understanding of machine learning algorithms, including supervised learning, unsupervised learning, and reinforcement learning.
  • Experience with deep learning techniques and architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer models.
  • Familiarity with software engineering best practices, including version control, testing, and code review.
  • Excellent problem-solving skills and the ability to analyze complex technical challenges and propose innovative solutions.
  • Strong communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.
  • Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

Or refer someone

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