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Neural Network Engineer Jobs (NOW HIRING)

Mythic

AI Algorithms/Software Engineer

$99.80K - $136.60K/yr

The AI Algorithms/Software Engineer will optimize software toolchains, design algorithms for neural network conversion, and contribute to hardware validation and debugging. Responsibilities : • ...

Mythic

AI Algorithms/Software Engineer

$99.80K - $136.60K/yr

The AI Algorithms/Software Engineer will optimize software toolchains, design algorithms for neural network conversion, and contribute to hardware validation and debugging. Responsibilities : • ...

Mythic

AI Algorithms/Software Engineer

Palo Alto, CA · Remote

$99.80K - $136.60K/yr

The AI Engineering team * Builds software pipelines that adapt neural networks (such as Hugging ... Design algorithms and tools for Mythic's neural network conversion pipeline. * Build high-fidelity ...

Mythic

AI Algorithms/Software Engineer

Austin, TX

$96.60K - $132.30K/yr

The AI Engineering team * Builds software pipelines that adapt neural networks (such as Hugging ... Design algorithms and tools for Mythic's neural network conversion pipeline. * Build high-fidelity ...

Mythic

AI Algorithms/Software Engineer

Palo Alto, CA

$114.60K - $156.90K/yr

The AI Engineering team * Builds software pipelines that adapt neural networks (such as Hugging ... Design algorithms and tools for Mythic's neural network conversion pipeline. * Build high-fidelity ...

Mythic

AI Algorithms/Software Engineer

Austin, TX · Remote

$99.80K - $136.60K/yr

The AI Engineering team * Builds software pipelines that adapt neural networks (such as Hugging ... Design algorithms and tools for Mythic's neural network conversion pipeline. * Build high-fidelity ...

Mythic

AI Algorithms/Software Engineer

Palo Alto, CA

$114.60K - $156.90K/yr

The AI Engineering team * Builds software pipelines that adapt neural networks (such as Hugging ... Design algorithms and tools for Mythic's neural network conversion pipeline. * Build high-fidelity ...

Mythic

AI Algorithms/Software Engineer

Austin, TX

$96.60K - $132.30K/yr

The AI Engineering team * Builds software pipelines that adapt neural networks (such as Hugging ... Design algorithms and tools for Mythic's neural network conversion pipeline. * Build high-fidelity ...

Urnet Inc

Engineer

Houston, TX · On-site

$100K - $150K/yr

This position requires a deep understanding of C++ programming to develop and optimize algorithms that power our neural network models. Ultimately, your contributions will help shape the future of ...

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How much do neural network engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for neural network engineer in the United States is $109,040.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $133,500.00 per year, depending on experience, location, and employer.

What does a Neural Network Engineer do?

A Neural Network Engineer designs, develops, and optimizes machine learning models, particularly artificial neural networks, to solve complex problems. They work with deep learning frameworks like TensorFlow and PyTorch, train and fine-tune models, and optimize them for performance and efficiency. Their role often involves preprocessing data, selecting appropriate architectures, and deploying models in real-world applications such as computer vision, natural language processing, or autonomous systems.

What are the key skills and qualifications needed to thrive in the Neural Network Engineer position, and why are they important?

To thrive as a Neural Network Engineer, you need a strong background in machine learning, deep learning frameworks (such as TensorFlow or PyTorch), and proficiency in programming languages like Python or C++. Experience with GPU computing, cloud-based machine learning platforms, and relevant certifications (e.g., TensorFlow Developer Certificate) is often valuable. Strong problem-solving skills, teamwork, and effective communication help you excel when collaborating on complex AI models and projects. These abilities are essential for designing effective neural networks, integrating them into products, and driving innovation in real-world applications.

What are the common daily responsibilities of a Neural Network Engineer?

On a typical day, a Neural Network Engineer may design and test deep learning model architectures, preprocess data, write and optimize code, and analyze performance results. Collaborating closely with data scientists, software engineers, and product managers is common to align model development with business objectives. Engineers often participate in code reviews, debugging sessions, and contribute to technical documentation. Staying current with the latest research and integrating new approaches is also part of the role, ensuring that solutions are both cutting-edge and practical for deployment.
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Neural Network Engineer jobs near you
Infographic showing various Neural Network Engineer job openings in the United States as of May 2026, with employment types broken down into 7% Internship, 79% Full Time, and 14% Part Time. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $109,040 per year, or $52.4 per hour.

Neural Network Specialist

Special Projects Engineering LLC

Bellevue, WA • On-site, Remote

$150K - $170K/yr

Full-time

Posted 27 days ago

Job description

About Special Projects Engineering LLC

At Special Projects Engineering, we rethink problems from the ground up. We’re a small, high-impact team based in Seattle focused on applying advanced AI to complex, often unconventional challenges. Our work spans autonomous systems, predictive infrastructure, synthetic biology, and defense-grade automation. If it’s ambitious, technical, and hasn’t been done before, we’re probably already working on it.

What You’ll Do

As a Neural Network Specialist, you’ll be responsible for designing and optimizing deep learning architectures that push the limits of what’s technically possible. You’ll collaborate closely with the CTO and a diverse team of engineers, scientists, and domain experts to move ideas from prototypes to deployment.

Key responsibilities:

  • Design, train, and evaluate neural network architectures for real-world use

  • Work with unstructured data including visual, auditory, textual, and time-series formats

  • Develop systems for tasks like perception, decision-making, prediction, and control

  • Optimize models for performance, scalability, and deployment on various platforms

  • Rapidly iterate on ideas while balancing reliability and experimental curiosity

  • Collaborate with hardware, embedded, and software teams to integrate models into real systems

  • Contribute to the ML roadmap, infrastructure, and toolchain

What We’re Looking For

  • 5+ years of experience in deep learning or applied neural network research

  • Strong Python skills, with additional experience in C++ or Rust preferred

  • Expertise in PyTorch, TensorFlow, or JAX

  • Solid understanding of training techniques, loss functions, evaluation metrics, and deployment strategies

  • Experience with one or more domains like computer vision, NLP, reinforcement learning, or multimodal models

  • Comfortable owning projects from research through production

  • Bonus if you’ve worked with robotics, embedded AI, or unusual sensor inputs

Why You Might Care

  • Competitive salary and meaningful equity

  • Remote-friendly with flexible hours

  • Full medical, dental, and vision coverage

  • Access to top-tier GPU hardware

  • Small team, zero bureaucracy, high ownership

  • Projects that are genuinely interesting and occasionally a little insane

If you're serious about pushing neural networks into places they've never gone before, apply now and let's get to work.