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Remote Phd Deep Learning Research Jobs (NOW HIRING)

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 ...

Redhat

Principal Machine Learning Engineer

Boston, MA · On-site +1

$189K - $312K/yr

... and productize deep learning research. If you are someone who enjoys bridging research and ... A PhD in a ML related domain is considered a strong plus. #LI-MD2 #AI-HIRING #vllm-1 The salary ...

SmarterDx

Staff Machine Learning Research Scientist

$220K - $260K/yr

This role is fully remote within the US** What You'll Do * Lead end-to-end ML research, from idea ... Deep understanding of LLM failure modes, particularly hallucinations, and how to evaluate and ...

Feedinkoo

Research Intern at Gensyn

Manhattan, NY · On-site +1

Responsibilities Contribute to original research in deep learning with a focus on modular ... a PhD program (or, in exceptional cases, in a Master's program) in Computer Science, Machine ...

Feedinkoo

Research Intern at Gensyn

Richmond, VA · On-site +1

Responsibilities Contribute to original research in deep learning with a focus on modular ... a PhD program (or, in exceptional cases, in a Master's program) in Computer Science, Machine ...

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Remote Phd Deep Learning Research information

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How much do remote phd deep learning research jobs pay per year?

As of Jun 6, 2026, the average yearly pay for remote phd deep learning research in the United States is $106,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $104,000.00 per year, depending on experience, location, and employer.

What is a Remote PhD Deep Learning Researcher?

A Remote PhD Deep Learning Researcher is a professional with a doctoral degree who conducts advanced research in deep learning, often from a location outside of a traditional office or laboratory. Their work involves developing and testing new algorithms, models, or techniques in areas such as computer vision, natural language processing, or reinforcement learning. They typically collaborate with academic, corporate, or independent research teams online, publish findings in scientific journals, and contribute to the advancement of artificial intelligence. Working remotely allows them to engage with global research communities and access a broader range of opportunities.

What are some common challenges faced by remote PhD Deep Learning researchers, and how can they be addressed?

Remote PhD Deep Learning researchers often encounter challenges such as limited in-person collaboration, access to specialized hardware, and balancing independent work with regular communication. Overcoming these obstacles typically involves leveraging collaborative tools (like Slack, Zoom, or GitHub), proactively scheduling virtual meetings with advisors and peers, and utilizing cloud computing resources for large-scale experiments. Building a strong online network and maintaining clear communication channels can greatly enhance productivity and foster a sense of community despite the remote setting.

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

To thrive as a Remote PhD Deep Learning Researcher, you need a strong background in machine learning, deep learning theory, and advanced mathematics, typically backed by a PhD in computer science or a related field. Expertise with programming languages such as Python, deep learning frameworks like TensorFlow or PyTorch, and experience with cloud computing platforms is essential. Exceptional problem-solving, independent initiative, and clear scientific communication are crucial soft skills for remote collaboration and research dissemination. These skills ensure high-quality, innovative research and effective contributions to the scientific community in a remote setting.
Infographic showing various Remote Phd Deep Learning Research job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 57% Full Time, 39% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $106,012 per year, or $51 per hour.

AI Research Scientist

Codertal

Union, NJ • On-site, Remote

Full-time

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

Job description

Codertal is hiring an AI Research Scientist for a remote opportunity in the European Union on a B2B contract . If you're passionate about researching, developing, and advancing cutting‐edge AI technologies, we'd love to have you on board! Last Updated: 21.10.2025 Location: Remote – European Union Contract Type: B2B Contract Experience Level: Mid to Senior About the Role Codertal is looking for a talented AI Research Scientist to explore, design, and evaluate next‐generation AI models.

You'll work on research projects involving deep learning, generative AI, transformers, optimization techniques, and experimental architectures. You'll collaborate with ML engineers, data scientists, and software developers to bring research outcomes into production and contribute to AI strategies for Codertal's international clients. Key Responsibilities Conduct research on modern AI techniques, including transformers , LLMs , GANs , and reinforcement learning .

Prototype and evaluate new model architectures and learning strategies. Work with large datasets and compute resources to train and analyze models. Publish internal documentation and contribute to innovation initiatives.

Stay updated on breakthroughs in artificial intelligence and machine learning. Required Skills and Experience Strong background in machine learning , deep learning , or AI research . Advanced experience with Python and frameworks like PyTorch or TensorFlow .

Understanding of transformers , optimization , and neural architecture design . Experience with large datasets and training on GPU/TPU environments. Familiarity with LLMs , NLP , or computer vision methods.

Strong mathematical foundation in statistics, linear algebra, and probability. Bachelor's, Master's, or PhD in Computer Science, AI, or related field. Intermediate to high level of English.

Must be located within the European Union . Location & Work Setup Remote: Yes Location: European Union Contract Type: B2B Why Join Codertal? Work on high‐impact AI research projects Competitive daily rates 100% remote work with flexible hours Collaborative environment with ML engineers and scientists Opportunity to explore advanced AI concepts and publish internal findings How to Apply If you're excited about advancing AI research and working with cutting‐edge technologies, we'd love to hear from you!

Apply Now Name Phone Email Rate per day (euros) CV Explore more opportunities on our Careers Page or connect with us on LinkedIn. #J-18808-Ljbffr

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