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Neural Networks Jobs (NOW HIRING)

Engineer

Houston, TX · On-site

$100K - $150K/yr

As an Engineer in the Information industry, you will play a pivotal role in designing and implementing advanced systems that leverage Artificial Neural Networks to solve complex problems. Your work ...

DSP Algorithms Engineer

Hillsboro, OR · On-site

$155K - $181K/yr

Proficient in DSP theory, scientific programming, adaptive filtering, machine learning, GMM, clustering and neural networks. Strong commitment to quality using algorithm performance evaluation ...

Senior Deep Learning Engineer

Austin, TX · On-site +1

$130K - $180K/yr

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model ...

Builds software pipelines that adapt neural networks (such as Hugging Face, Ultralytics, or custom models) for deployment on Mythic's hardware. * Develops advanced quantization-aware and analog-aware ...

Builds software pipelines that adapt neural networks (such as Hugging Face, Ultralytics, or custom models) for deployment on Mythic's hardware. * Develops advanced quantization-aware and analog-aware ...

AI Algorithms/Software Engineer

Palo Alto, CA · Remote

$99K - $136K/yr

Builds software pipelines that adapt neural networks (such as Hugging Face, Ultralytics, or custom models) for deployment on Mythic's hardware. * Develops advanced quantization-aware and analog-aware ...

Formulate research questions to guide the development of neural networks and signal processing algorithms that will restore vision to those affected by blindness. * Utilize your fundamental ...

... neural networks--to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield, reduce inspection burden, and optimize parts. • Collaborate with cross-functional ...

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Neural Networks information

What are the most common challenges faced in a Neural Networks role, and how can I prepare for them?

Professionals working in neural networks frequently encounter challenges such as managing large datasets, tuning hyperparameters, handling overfitting or underfitting, and keeping up with rapidly evolving technologies. You can prepare by building a strong foundation in relevant mathematical concepts, staying up-to-date on industry advancements, and practicing hands-on model development and troubleshooting. Collaborating with peers and participating in open-source projects or competitions can deepen your expertise and problem-solving skills. Employers also value candidates who can communicate complex ideas clearly and work well in diverse, multidisciplinary teams.

What is a Neural Networks job?

A Neural Networks job typically involves designing, developing, and optimizing artificial neural networks for tasks such as image recognition, natural language processing, and predictive analytics. Professionals in this field work with machine learning frameworks like TensorFlow or PyTorch, train deep learning models, and fine-tune architectures for better accuracy and efficiency. These roles are common in AI research, data science, robotics, and software development. Strong skills in programming, mathematics, and data handling are essential for success in this field.

What engineers make $500,000?

Senior neural network engineers, especially those with extensive experience, specialized skills in deep learning, and strong backgrounds in machine learning frameworks, can earn salaries of $500,000 or more, often including bonuses and stock options. These roles are typically found in large tech companies, finance, or AI-focused firms and may require advanced degrees and a proven track record of impactful projects.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as senior AI researchers, machine learning directors, or chief AI officers, often requiring advanced skills in neural networks, deep learning, and extensive experience. These roles usually involve leadership, strategic planning, and expertise with tools like TensorFlow or PyTorch, and may include performance-based bonuses or stock options. Such salaries are common in large tech companies or specialized AI firms for top-tier talent.

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

To thrive in a Neural Networks role, you need a solid background in mathematics, programming (Python, TensorFlow, PyTorch), and machine learning principles, often attained through a degree in computer science or a related field. Familiarity with neural network frameworks, model deployment tools, and cloud computing platforms is highly valuable, as are certifications such as TensorFlow Developer or AWS Machine Learning. Excellent problem-solving abilities, communication skills, and a collaborative mindset help you excel when working on interdisciplinary teams and complex projects. These skills are crucial for designing, training, and optimizing neural network models that effectively solve real-world problems in diverse industries.

What job makes $10,000 a month without a degree?

A neural network engineer or AI specialist can potentially earn $10,000 or more per month through freelance projects, consulting, or working for tech companies, often without a formal degree if they possess strong skills in programming, machine learning, and neural network frameworks. Success in this field typically depends on experience, portfolio, and expertise with tools like TensorFlow or PyTorch, rather than formal education alone.

Which 3 jobs will survive AI?

Neural network specialists, data scientists, and AI ethics professionals are likely to remain in demand as AI advances, due to their expertise in developing, managing, and overseeing AI systems. These roles require advanced skills in programming, statistical analysis, and ethical considerations, making them less susceptible to automation. Continuous learning and specialized knowledge will help professionals in these fields stay relevant.
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What are the most commonly searched types of Neural Networks jobs? The most popular types of Neural Networks jobs are:
What states have the most Neural Networks jobs? States with the most job openings for Neural Networks jobs include:
Neural Network Development Lead

Neural Network Development Lead

Targeted Talent

Austin, TX • Hybrid

Full-time

Medical, PTO

Posted 23 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

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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