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

Etsy

Senior Staff Machine Learning Engineer

New York, NY · On-site +1

$245K - $319K/yr

You will apply state-of-the-art techniques, including hybrid retrieval, multi-tasking deep learning ... This position will be in Brooklyn, NY or for remote candidates based in the United States. Etsy is ...

Etsy

Senior Staff Machine Learning Engineer

Brooklyn, NY · On-site +1

$245K - $319K/yr

You will apply state-of-the-art techniques, including hybrid retrieval, multi-tasking deep learning ... This position will be in Brooklyn, NY or for remote candidates based in the United States. Etsy is ...

blaZop Inc.

Sr. AI/ML Ops Engineer

Manhattan, NY · Remote

$143.30K - $184.10K/yr

Deep Learning (PyTorch): Proven experience in deep learning, particularly with PyTorch, and ... Job Nature Full Time Job Location Remote, USA Job Level Sr. Position How to Apply Interested ...

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Harnham

Senior ML/VLM Engineer

Manhattan, NY · Remote

$200K - $240K/yr

Senior Machine Learning Engineer (Computer Vision / Vision-Language Models) Remote (U.S. or Canada ... Deep expertise in Computer Vision and modern deep learning * Direct experience with VLMs ...

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Remote Deep Learning information

See New York, NY salary details

$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

VP; Sr Quantitative Fin Analyst

Bank of America N.A.

Manhattan, NY • On-site, Remote

$180K - $210K/yr

Full-time

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

Job description

VP; Sr Quantitative Fin Analyst sought by Bank of America N.A. to conduct quantitative analytics & complex modeling projects for specific business units or risk types. Review analytic processes, or system approaches & technical documentation for related activities. Remote work may be permitted w/in a commutable distance from the worksite. Reqs: Master's or equiv. & 5 yrs exp. in: Utilizing current modeling & data science principals incl. time-series analysis, machine learning & deep learning to validate financial crime detection models; Applying statistical techniques to analyze trends & uncover risks & opportunities relative to anti-money laundering detection. Salary: $180,000 - $210,000/year. Job Site: New York, NY. Req# 26015714. If interested apply online at www.bankofamerica.com/careers or email your resume to bofajobs@bofa.com & reference the job title of the role & requisition number. No phone calls. EOE.

JobiqoTJN. Keywords: Financial Analyst, Location: PECK SLIP, NY - 10060

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