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Deep Learning Developer Jobs in Nanuet, NY (NOW HIRING)

Deep Learning Researcher

New York, NY · On-site

$200K - $300K/yr

Your Role Our Deep Learning Researchers expand the boundaries of quantitative finance through the ... Strong programming skills, including mastery of Python * Strong problem-solving skills and research ...

Your Role Our Deep Learning Researchers expand the boundaries of quantitative finance through the ... Strong programming skills, including mastery of Python * Strong problem-solving skills and research ...

Experience with deep neural networks and representation learning * Prior experience working in a ... Proficiency in programming languages such as Python and R * Experience with machine learning ...

Experience with deep neural networks and representation learning * Prior experience working in a ... Proficiency in programming languages such as Python and R * Experience with machine learning ...

Machine Learning Research Engineer

New York, NY · On-site

$224K/yr

Conducting innovative research on deep learning for price forecasting * Building scalable and ... Collaborating closely with researchers and other engineers * Developing an in-depth understanding ...

What you'll do As a Machine Learning Research Engineer, your key responsibilities include ... Conducting innovative research on deep learning for price forecasting * Building scalable and ...

Machine Learning Researcher

New York, NY · On-site

$200K - $300K/yr

You'll tackle complex problems without obvious solutions, taking ownership of our entire modeling ecosystem-from feature engineering and deep learning architecture design to training dynamics and ...

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Deep Learning Developer information

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How much do deep learning developer jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for deep learning developer in Nanuet, NY is $38.78, according to ZipRecruiter salary data. Most workers in this role earn between $32.98 and $43.17 per hour, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior Deep Learning Developer or AI research lead, often involving advanced skills in machine learning frameworks, data modeling, and programming. Such roles usually require extensive experience, specialized knowledge, and may include responsibilities like developing innovative AI solutions or leading AI teams in tech companies or research institutions.

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

To thrive as a Deep Learning Developer, you need a strong background in computer science, mathematics, and proficiency in programming languages like Python, often supported by a degree in a related field. Familiarity with deep learning frameworks such as TensorFlow or PyTorch, and experience with cloud platforms or GPU acceleration, are commonly required technical skills. Analytical thinking, problem-solving abilities, and effective teamwork distinguish top performers in this role. These competencies are crucial for designing, training, and deploying advanced neural network models that address complex real-world problems.

What are Deep Learning Developers?

Deep Learning Developers are specialized software engineers or data scientists who design, build, and implement artificial intelligence systems using deep learning techniques. They work with neural networks, large datasets, and various frameworks like TensorFlow or PyTorch to develop models for tasks such as image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, optimization, and deployment to solve complex problems that require advanced pattern recognition. Deep Learning Developers often collaborate with AI researchers, data engineers, and product teams to integrate intelligent features into applications.

Which 3 jobs will survive AI?

Deep Learning Developers are likely to continue to be in demand as AI advances because they design and improve AI models, requiring specialized skills in programming, mathematics, and data analysis. Other roles expected to persist include AI ethics specialists and AI system trainers, as human oversight and ethical considerations remain essential. These jobs involve complex problem-solving and domain expertise that are difficult to fully automate.

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

AspectDeep Learning DeveloperMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with neural networksBachelor's or Master's in CS, Data Science, or related; knowledge of algorithms
Work EnvironmentResearch labs, AI startups, tech companies focusing on neural networksData-driven companies, software firms, industries applying machine learning
Industry UsagePrimarily in AI research, neural network development, deep learning projectsBroader application including predictive modeling, data analysis, and ML systems

Deep Learning Developers specialize in neural networks and deep learning models, often working on AI research and complex algorithms. Machine Learning Engineers have a broader focus on developing, deploying, and maintaining machine learning models across various applications. While both roles require similar educational backgrounds, their focus areas and industry applications differ.

What are some common challenges Deep Learning Developers face when deploying models to production environments?

Deep Learning Developers often encounter challenges such as optimizing model performance for real-time inference, managing resource constraints (like GPU/CPU availability), and ensuring model reproducibility across different environments. Additionally, integrating deep learning models into existing software systems and maintaining them over time can be complex, especially as data and requirements evolve. Collaborating closely with DevOps, data engineers, and QA teams is essential to address these challenges and ensure smooth deployment and ongoing reliability.

What engineer makes $500,000 a year?

Highly experienced deep learning developers or AI engineers with specialized skills in neural networks, large-scale data processing, and advanced machine learning frameworks can earn $500,000 or more annually, especially in senior or leadership roles at major tech companies or startups. Such roles often require advanced degrees, extensive experience, and a strong track record of deploying impactful AI solutions.

What engineers make $300,000 a year?

Deep learning developers and AI engineers with extensive experience, advanced skills in machine learning frameworks, and strong domain expertise can earn $300,000 or more annually, especially in high-demand industries or senior roles. Compensation often includes base salary, bonuses, and stock options, particularly at leading tech companies or startups with significant funding.
What cities near Nanuet, NY are hiring for Deep Learning Developer jobs? Cities near Nanuet, NY with the most Deep Learning Developer job openings:

Deep Learning Researcher

Seven Research

New York, NY • On-site

$200K - $300K/yr

Full-time

Posted 14 days ago


Job description

Why Work with Us
Solve impactful problems. At Seven Research, our close-knit team unites brilliant minds passionate about pushing technological and scientific boundaries in the global markets. We provide state-of-the-art resources and cultivate intellectual freedom, enabling our people to develop groundbreaking solutions to the most complex challenges of our field. Our collaborative approach celebrates excellence from everyone, regardless of tenure.
Your Role
Our Deep Learning Researchers expand the boundaries of quantitative finance through the development of advanced deep learning models. You will conduct rigorous, systematic research to pioneer advanced methodologies, uncover sophisticated insights, and implement innovative approaches within our teams.
What We're Looking For
We seek talented and knowledgeable problem-solvers with strong backgrounds in deep learning to come build with us. No financial knowledge is expected. Deep Learning Researcher candidates should have demonstrated strong applied research and critical analysis skills. We value team members who communicate clearly and can exercise ownership over projects. If working on challenging quantitative problems in a close-knit, research-driven environment excites you, we'd love to get to know you.
The ideal candidate will possess most of the following:
  • PhD degree in computer science or a related field
  • Mastery of deep learning techniques and proven track record of building sophisticated predictive models using deep learning
  • Publications in relevant journals and/or conference presentations
  • Strong programming skills, including mastery of Python
  • Strong problem-solving skills and research acumen
  • Strong communication skills to articulate complex technical concepts
  • Experience working with large data sets and computationally intensive projects
  • Experience with high-performance computing

Job Compensation Range
The base salary range for this role is $200,000 - $300,000. This does not include other forms of compensation and benefits that are part of Seven Research's comprehensive package. We will provide additional detail about compensation and benefits during our hiring process.
We are an equal opportunity employer and prohibit discrimination and harassment without regard to race, religion, age, sex, or any other characteristic protected by law.
If you have any questions, please contact us at careers@sevenresearch.com.