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Remote Deep Learning Jobs in New York, NY (NOW HIRING)

Codertal

Deep Learning Engineer

Union, NJ · On-site +1

Remote - European Union Contract Type: B2B Contract Experience Level: Mid to Senior About the Role Codertal is looking for a skilled Deep Learning Engineer to join our AI and Data Science team. You ...

Codertal

Computer Vision Engineer

Union, NJ · Remote

$113.60K - $134K/yr

If you love working with image processing, deep learning, and advanced computer vision pipelines, this role is an excellent fit for you! Last Updated: 21.10.2025 Location: Remote - European Union ...

Career Renew

Senior Machine Learning Engineer

Manhattan, NY · Remote

$115.20K - $158.20K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... The ideal candidate will have deep expertise in Machine Learning and building generalizable ...

Career Renew

Senior Machine Learning Engineer

New York, NY · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... The ideal candidate will have deep expertise in Machine Learning and building generalizable ...

Codertal

AI Research Scientist

Union, NJ · On-site +1

Remote - European Union Contract Type: B2B Contract Experience Level: Mid to Senior About the Role ... You'll work on research projects involving deep learning, generative AI, transformers, optimization ...

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Remote Deep Learning information

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$12K

$91.8K

$153.2K

How much do remote deep learning jobs pay per year?

As of May 28, 2026, the average yearly pay for remote deep learning in New York, NY is $91,774.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,800.00 and $152,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Deep Learning Engineer, you need strong programming skills in Python, a deep understanding of machine learning algorithms, and typically a degree in computer science, engineering, or a related field. Proficiency with frameworks like TensorFlow or PyTorch, as well as cloud computing platforms such as AWS or Google Cloud, is essential, and certifications in these technologies can be advantageous. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These skills ensure effective development, deployment, and maintenance of deep learning models while working independently in distributed teams.

What are some common challenges faced by remote deep learning engineers, and how can they be addressed?

Remote deep learning engineers often encounter challenges such as limited access to high-performance computing resources, communication barriers with distributed teams, and difficulties in collaborating on large codebases or datasets. These issues can be mitigated by leveraging cloud-based platforms for scalable computing, using clear communication tools like Slack or Zoom for regular check-ins, and employing version control systems like Git for collaborative code management. Proactively setting up workflows and documentation helps ensure smooth collaboration and project continuity within a remote environment.

What is a Remote Deep Learning job?

A Remote Deep Learning job involves working with artificial intelligence and machine learning models, particularly using deep neural networks, from a location outside a traditional office, often from home. Professionals in this field design, build, and optimize algorithms that enable computers to learn from large amounts of data. They often work on projects such as image and speech recognition, natural language processing, or autonomous systems. The remote aspect allows flexibility and access to global opportunities, but requires strong communication skills and the ability to collaborate virtually with teams.

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

AspectRemote Deep LearningRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with neural networksBachelor's/Master's in CS, Data Science, or related; experience with algorithms and data modeling
Work EnvironmentCollaborative teams, research-focused, often in tech or AI companiesDevelopment teams, data-driven projects, across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, e-commerce

Remote Deep Learning specialists focus on designing and training neural networks for AI applications, often requiring advanced knowledge of deep neural architectures. Remote Machine Learning Engineers work on developing algorithms and models for broader data analysis and predictive tasks. While both roles involve machine learning, deep learning emphasizes neural networks, whereas machine learning engineers may work with a variety of algorithms across industries.

What are the most commonly searched types of Deep Learning jobs in New York, NY? The most popular types of Deep Learning jobs in New York, NY are:
What are popular job titles related to Remote Deep Learning jobs in New York, NY? For Remote Deep Learning jobs in New York, NY, the most frequently searched job titles are:
What job categories do people searching Remote Deep Learning jobs in New York, NY look for? The top searched job categories for Remote Deep Learning jobs in New York, NY are:
What cities near New York, NY are hiring for Remote Deep Learning jobs? Cities near New York, NY with the most Remote Deep Learning job openings:
Remote Deep Learning jobs near you

Remote Deep Learning Engineer - EU, Production AI

Codertal

Union, NJ • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

A tech company specializing in AI is seeking a Remote Deep Learning Engineer to design, train, and deploy state-of-the-art models. The role involves collaboration with data scientists and MLOps engineers, impacting global projects. Required skills include strong programming in Python, experience with TensorFlow/PyTorch, and a Bachelor's or Master's degree in a relevant field.

This role is open to candidates located within the European Union. Competitive daily rates and flexible hours offered. #J-18808-Ljbffr

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