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Neural Network Jobs (NOW HIRING)

Mythic

AI Algorithms/Software Engineer

$99K - $136K/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

$99K - $136K/yr

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

Waymo

Senior ML Compiler Engineer, Compute

Mountain View, NY · Hybrid

$106K - $146K/yr

Work with hardware architects to understand and influence the development of our unique neural network inference platform through hardware/software codesign * Work with model developers to tune their ...

Mythic

AI Algorithms/Software Engineer

Palo Alto, CA · On-site

$114K - $156K/yr

Design algorithms and tools for Mythic's neural network conversion pipeline. * Build high-fidelity, computationally-efficient hardware models. * Contribute to silicon bring-up, debugging, and ...

Mythic

AI Algorithms/Software Engineer

Palo Alto, CA

$114K - $156K/yr

Design algorithms and tools for Mythic's neural network conversion pipeline. * Build high-fidelity, computationally-efficient hardware models. * Contribute to silicon bring-up, debugging, and ...

Mythic

AI Algorithms/Software Engineer

Palo Alto, CA · Remote

$99K - $136K/yr

Design algorithms and tools for Mythic's neural network conversion pipeline. * Build high-fidelity, computationally-efficient hardware models. * Contribute to silicon bring-up, debugging, and ...

Quidient

Staff Deep Learning Engineer

Columbia, MD · On-site

$185K - $235K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Design and train novel deep neural network architectures from scratch for a variety of reconstruction tasks - including surface anomaly detection (e.g., dent detection), geometry-based defect ...

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Neural Network information

See salary details

$22K

$106.6K

$162.5K

How much do neural network jobs pay per year?

As of Aug 14, 2026, the average yearly pay for neural network in the United States is $106,570.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $128,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a neural network engineer, and why are they important?

To thrive as a Neural Network Engineer, you need a solid background in mathematics, machine learning theory, and programming, often backed by a degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience in data preprocessing, and knowledge of cloud computing platforms are typically required. Strong problem-solving abilities, collaboration, and effective communication skills distinguish top professionals in this role. These competencies are vital for developing, optimizing, and deploying neural network models that drive innovation in AI-powered solutions.

What is the difference between Neural Network vs Data Scientist?

AspectNeural NetworkData Scientist
Required CredentialsKnowledge of machine learning, programming skills, often a degree in computer science or related fieldsDegree in statistics, computer science, or related fields; strong analytical skills
Work EnvironmentResearch labs, tech companies, AI development teamsBusiness environments, consulting firms, research institutions
Industry UsageDeveloping AI models, deep learning applicationsData analysis, predictive modeling, business insights

Neural networks focus on building and training AI models using complex algorithms, while data scientists analyze data to extract insights and inform decisions. Both roles often collaborate but serve different functions within the AI and data analysis ecosystem.

What is the main job of a neural network?

A neural network is a type of machine learning model used to recognize patterns and make predictions based on data. In a job context, roles involving neural networks typically focus on designing, training, and optimizing these models using programming skills and tools like Python and TensorFlow. The main job is to develop systems that can learn from data to solve complex problems such as image recognition, natural language processing, and data analysis.

What are neural networks?

Neural networks are a type of machine learning model inspired by the structure and function of the human brain. They consist of interconnected layers of nodes, or 'neurons,' that process data and learn to make predictions or decisions based on input data. Neural networks are widely used in applications such as image recognition, natural language processing, and autonomous systems. Their ability to learn complex patterns makes them powerful tools for solving problems that are difficult to program explicitly.

What are some common challenges neural network engineers face when deploying models to production environments?

Neural network engineers often encounter challenges such as model optimization for efficient inference, managing hardware constraints, and ensuring scalability during deployment. Addressing issues like latency, memory usage, and compatibility with production infrastructure is crucial, especially when models are resource-intensive. Collaborating closely with DevOps and software engineering teams is common to streamline deployment pipelines, monitor model performance, and quickly resolve issues that arise post-launch.
More about Neural Network jobs

What states have the most Neural Network jobs?

States with the most job openings for Neural Network jobs include:

What job categories do people searching Neural Network jobs look for?

The top searched job categories for Neural Network jobs are:

Neural Network jobs near you
Infographic showing various Neural Network job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 11% Part Time, and 7% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $106,570 per year, or $51.2 per hour.

Neural Network Development Lead

Targeted Talent

Austin, TX • Hybrid

Full-time

Medical, PTO

Re-posted 14 days ago

Job description

Full-Time / Hybrid

Our client is a fast-growing startup focused on creating next-generation hardware AI accelerators. They are enhancing their software to ensure seamless deployment of neural networks on their innovative hardware. This role involves optimizing neural networks to leverage their architecture efficiently.

We're searching for a talented Neural Network Development Lead with a passion for developing cutting-edge neural networks. This role involves hands-on development, working with a cross-functional team, and bridging customer needs with our software and hardware capabilities. You'll enhance our Model Garden and develop custom neural networks that offer advanced functionality and performance.

Responsibilities:

  • Lead teams to deliver and implement neural network models.
  • Develop complex programs for neural net operations.
  • Optimize neural network performance and communicate strategies to the team.
  • Collaborate with future product generation architects.

Requirements:

  • Degree in Computer Science, Engineering, or related field.
  • 5+ years of AI experience.
  • Strong C++ skills and experience in high-performance code optimization.
  • Knowledge of neural network algorithms.
  • Creative problem-solving skills.

Preferred Skills:

  • Advanced degree in a related field.
  • Project Management certification.
  • Python experience and familiarity with AI accelerator programming.
  • Strong mathematical and communication skills.

Why Consider Applying?

  • Inclusive and diverse team environment.
  • Support for accommodations during the interview process and in the workplace.
  • Benefits include 20 vacation days, comprehensive health benefits, unlimited sick days, stock options, and the chance to impact the future of AI.

Join our client's mission to revolutionize AI with their efficient, high-performance technology. If you're passionate about AI and eager to tackle challenging problems, we encourage you to apply, even if you don't meet every requirement.

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About Targeted Talent

Sourced by ZipRecruiter

Your single source for HR professional services, we offer job seekers specialized employment services, spanning contract, permanent positions, and project solutions for highly specialized and managerial level talent needs. Our team of specialized recruiters and consultants abilities extend far beyond resume or career counseling. With hundreds of collaborators strategically located throughout the country, our organization possess the local market knowledge and industry relationships that make successful geography-specific reach possible.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Vancouver, BC, CA

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