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Seasonal Neural Network Engineer Jobs (NOW HIRING)

Mythic

AI Algorithms/Software Engineer

Austin, TX · On-site

$96K - $132K/yr

AI Engineering Team Member Mythic is building the future of AI computing with breakthrough analog ... Design algorithms and tools for Mythic's neural network conversion pipeline. * Build high-fidelity ...

Mythic

AI Algorithms/Software Engineer

Austin, TX · On-site

$96K - $132K/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

$114K - $156K/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

$114K - $156K/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 · On-site

$114K - $156K/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 · On-site

$114K - $156K/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 · Remote

$99K - $136K/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 · On-site

$96K - $132K/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 ...

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All JobsSeasonal Neural Network Engineer Jobs

Seasonal Neural Network Engineer information

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$109K

$158K

How much do seasonal neural network engineer jobs pay per year?

As of Jun 23, 2026, the average yearly pay for seasonal 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 cities are hiring for Seasonal Neural Network Engineer jobs? Cities with the most Seasonal Neural Network Engineer job openings:
What are the most commonly searched types of Neural Network Engineer jobs? The most popular types of Neural Network Engineer jobs are:
What states have the most Seasonal Neural Network Engineer jobs? States with the most job openings for Seasonal Neural Network Engineer jobs include:
Seasonal Neural Network Engineer jobs near you
Infographic showing various Seasonal Neural Network Engineer job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 1% Full Time, 87% Part Time, 10% Contract, and 1% Nights. Highlights an 71% Physical, 3% Hybrid, and 26% 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 22 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.