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Deep Learning Ai Jobs (NOW HIRING)

femtoAI

Audio Deep Learning Engineer

San Bruno, CA · Hybrid

About the Role As a Deep Learning Engineer, you will: * Design, develop, and deploy deep-learning ... Experience in hybrid AI / DSP algorithm development is a plus but not required. * A passion for ...

femtoAI

Audio Deep Learning Engineer

San Bruno, CA · On-site

About the Role As a Deep Learning Engineer, you will: * Design, develop, and deploy deep-learning ... Experience in hybrid AI / DSP algorithm development is a plus but not required. * A passion for ...

Toyon

Deep Learning Algorithm Developer

Goleta, CA · On-site

$120K - $200K/yr

Our researchers apply AI/ML techniques to develop data processing automation solutions for problems ... Requirements Candidates for the Deep Learning Algorithm Developer position should have a strong ...

Toyon

Deep Learning Algorithm Developer

Fort Collins, CO

$100K - $190K/yr

Our researchers apply AI/ML techniques to develop data processing automation and control solutions ... Requirements Candidates for the Deep Learning Algorithm Developer position should have a strong ...

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How much do deep learning ai jobs pay per year?

As of Jun 12, 2026, the average yearly pay for deep learning ai in the United States is $83,885.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,000.00 and $139,000.00 per year, depending on experience, location, and employer.

Is Deep Learning AI paid?

Deep Learning AI professionals are typically paid for their work, with salaries varying based on experience, location, and role complexity. Entry-level positions may start lower, while experienced specialists or those with advanced skills in frameworks like TensorFlow or PyTorch tend to earn higher salaries. Compensation often includes benefits and opportunities for career growth.

What is the difference between Deep Learning Ai vs Machine Learning Engineer?

AspectDeep Learning AiMachine Learning Engineer
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of neural networksDegree in Computer Science, Data Science, or related fields; programming skills in Python, R
Work EnvironmentResearch labs, AI development teams, tech companies focusing on AI modelsSoftware development teams, data analysis projects across various industries
Industry UsagePrimarily in AI research, autonomous systems, NLP, computer visionAcross industries for predictive modeling, data analysis, automation

Deep Learning Ai specialists focus on designing and implementing neural network models for complex AI tasks, often requiring advanced knowledge of deep neural networks. Machine Learning Engineers develop broader machine learning models, including traditional algorithms. While both roles require similar educational backgrounds, Deep Learning Ai roles are more specialized in neural networks and AI research, whereas Machine Learning Engineers work across a wider range of algorithms and applications.

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 AI executives, often requiring advanced skills, extensive experience, and leadership responsibilities. These roles may involve overseeing large projects, developing innovative algorithms, and managing teams, with compensation reflecting the complexity and impact of the work.

What are some common challenges faced by professionals working in Deep Learning AI, and how can they be addressed?

Professionals in Deep Learning AI often encounter challenges such as managing large datasets, ensuring model accuracy, and addressing issues like overfitting. Collaboration with data engineers and domain experts is crucial to ensure high-quality data and relevant feature selection. Additionally, staying up-to-date with rapidly evolving frameworks and algorithms requires continuous learning and participation in knowledge-sharing within the team. Regular code reviews and experimentation with different architectures can help overcome technical obstacles and improve model performance.

What is the salary of AI and deep learning?

The salary for roles in AI and deep learning varies based on experience, location, and industry, but typically ranges from $80,000 to over $150,000 annually for skilled professionals. Entry-level positions may start around $70,000, while senior roles or those requiring advanced skills in machine learning frameworks can earn higher salaries. Certifications and proficiency in programming languages like Python and tools such as TensorFlow or PyTorch can influence compensation.

What are the key skills and qualifications needed to thrive as a Deep Learning AI Engineer, and why are they important?

To thrive as a Deep Learning AI Engineer, you need a strong background in mathematics, programming (especially Python), and experience with neural networks, typically supported by a degree in computer science, engineering, or a related field. Proficiency with deep learning frameworks such as TensorFlow or PyTorch, and knowledge of tools like CUDA for GPU acceleration, are essential; relevant certifications can be advantageous. Analytical thinking, creativity, and effective communication are important soft skills for solving complex problems and collaborating with cross-functional teams. These skills and qualities are crucial for building robust AI models and driving innovation in this rapidly evolving field.

Which 3 jobs will survive AI?

Deep Learning AI professionals are likely to find roles in areas requiring complex problem-solving, such as AI research, machine learning engineering, and data science. These jobs involve designing, developing, and maintaining AI systems, which require advanced technical skills and domain expertise that are difficult to fully automate. Continuous learning and proficiency with tools like Python and TensorFlow can enhance job security in these fields.

What are Deep Learning AI professionals?

Deep Learning AI professionals are experts who design, develop, and implement artificial intelligence systems that use deep neural networks to analyze complex data and solve tasks such as image recognition, natural language processing, and autonomous decision-making. They work with large datasets and advanced algorithms to build models that can learn and improve over time. These professionals often have a background in computer science, mathematics, or engineering, and are skilled in programming languages like Python and frameworks such as TensorFlow or PyTorch.
More about Deep Learning Ai jobs
What cities are hiring for Deep Learning Ai jobs? Cities with the most Deep Learning Ai job openings:
What states have the most Deep Learning Ai jobs? States with the most job openings for Deep Learning Ai jobs include:
What job categories do people searching Deep Learning Ai jobs look for? The top searched job categories for Deep Learning Ai jobs are:
Deep Learning Ai jobs near you

Audio Deep Learning Engineer

femtoAI

San Bruno, CA • Hybrid

Other

Medical, Dental, Vision, Retirement

Posted 25 days ago

Job description

Job Description
About the Role
As a Deep Learning Engineer, you will:
  • Design, develop, and deploy deep-learning-based and classical DSP audio algorithms for our SPU platform.
  • Leverage innovative model compression techniques to optimize performance-per-joule on custom silicon.
  • Be a core contributor to our deep learning and DSP development platform, advancing novel algorithms for audio processing.
  • Collaborate directly with customers across diverse industries to deliver impactful solutions and exciting new features.
This is a unique opportunity to work on challenging problems at the intersection of deep learning, model optimization, and embedded systems, while driving real-world impact in industries ranging from consumer electronics to automotive and beyond.
What You'll Do
  • Develop and optimize deep learning models for audio processing, including tasks like speech enhancement, beamforming, event detection, sound localization, voice identification, voice interfaces, noise reduction, echo cancellation, feedback cancellation, and more.
  • Drive innovation in model efficiency, compression, and deployment on embedded platforms.
  • Leverage multi-sensor data to improve algorithm performance in difficult environments.
  • Work closely with customers to understand their needs and tailor solutions to meet their goals.
  • Contribute to the end-to-end process of model development, from research and prototyping to deployment on hardware.
Requirements
  • 3+ years of relevant experience in deep learning and/or DSP engineering.
  • Strong experience with Python and PyTorch (or other deep learning frameworks).
  • A background in Computer Science, Mathematics, Electrical Engineering or a related field (BS, MS, PhD, or equivalent work experience).
  • Experience in hybrid AI / DSP algorithm development is a plus but not required.
  • A passion for solving challenging problems and collaborating in a fast-paced, innovative environment.
Desired Skills and Experience
Deep learning, Machine learning, DSP, Python, PyTorch
Benefits
  • 401(k)
  • Medical insurance
  • Vision insurance
  • Dental insurance
  • Commuter benefits
  • Disability insurance
  • Paid maternity leave
  • Paid paternity leave
  • Child care support

femtoAI is an equal opportunity employer committed to a diverse workforce which strives to create an inclusive working environment empowering everyone to do their best work. We do not discriminate on the basis of race, ethnicity, religion, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.

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