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Remote Computational Neuroscience Software Engineer Jobs in Nebraska

TEKsystems

Senior AI Engineer

Omaha, NE · Remote

$65 - $100/hr

... software engineering experience • 2+ years building production AI services, AI platforms, or ... remote position. Application Deadline This position is anticipated to close on Aug 23, 2026. About ...

Capstone IT

API Developer

Omaha, NE · Remote

Senior API/Cloud Native Engineer! Remote possible! Capstone IT is assisting our client find a ... The primary responsibility of the Senior Software Engineer (SSE) is designing and developing ...

TEKsystems

AI Engineer

Omaha, NE · Remote

$40 - $50/hr

The team is leveraging cutting-edge Agentic AI delivery methodologies to accelerate software ... Work Environment * 100% remote opportunity. * Fast-growing, startup-style environment.

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All JobsComputational Neuroscience Software Engineer JobsRemote Computational Neuroscience Software Engineer JobsRemote Computational Neuroscience Software Engineer Jobs in Nebraska

Remote Computational Neuroscience Software Engineer information

What is the difference between Remote Computational Neuroscience Software Engineer vs Remote Machine Learning Engineer?

AspectRemote Computational Neuroscience Software Engineer
Required CredentialsDegree in neuroscience, computer science, or related fields; programming skills in Python, MATLAB
Work EnvironmentResearch labs, academic institutions, biotech companies, often collaborative and research-focused
Industry UsageNeuroscience research, cognitive science, biotech, pharmaceutical industries

While both roles involve programming and data analysis, a Remote Computational Neuroscience Software Engineer specializes in modeling brain functions and neural data, often within research or academic settings. In contrast, a Remote Machine Learning Engineer focuses on developing algorithms for various applications across industries like tech, finance, or healthcare. The key difference lies in domain expertise and application focus, though both roles require strong programming skills and data analysis experience.

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For Remote Computational Neuroscience Software Engineer jobs in Nebraska, the most frequently searched job titles are:

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The top searched job categories for Remote Computational Neuroscience Software Engineer jobs in Nebraska are:

Remote Computational Neuroscience Software Engineer jobs near you
Infographic showing various Remote Computational Neuroscience Software Engineer job openings in Nebraska as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Bellevue, NE • Remote

Full-time

Re-posted 13 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply