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Deep Learning Scientist Jobs (NOW HIRING)

Spotter

Machine Learning Scientist

Culver City, CA · Remote

Overview We're looking for a talented and intensely curious Machine Learning Scientist with deep expertise in building and deploying production machine learning models, particularly in areas such as ...

PlusAI

Deep Learning Intern

Santa Clara, CA · On-site

$19 - $65/hr

Required Skills: * Pursuing MS or PhD in Computer Science, Electrical Engineering, Robotics ... Past experiences in deep learning projects involving object detection, motion tracking or semantic ...

Seven Research

Deep Learning Researcher

New York, NY · On-site

$200K - $300K/yr

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 ...

PlusAI

Deep Learning Intern

Santa Clara, CA

$19 - $65/hr

Required Skills: * Pursuing MS or PhD in Computer Science, Electrical Engineering, Robotics ... Past experiences in deep learning projects involving object detection, motion tracking or semantic ...

Seven Research

Deep Learning Researcher

New York, NY

$200K - $300K/yr

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 ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA

Experience mentoring engineers and contributing to team technical culture Requirements * 2-7 years of experience in deep learning model optimization and deployment * BS+ in Computer Science, Machine ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

... Science, Machine Learning, or a related field (or equivalent experience) Preferred : • Experience in autonomous driving or ADAS is a plus -- background in perception pipelines, sensor fusion, or ...

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Deep Learning Scientist information

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$37.5K

$122.7K

$196.5K

How much do deep learning scientist jobs pay per year?

As of Jul 3, 2026, the average yearly pay for deep learning scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Deep Learning Scientist, you need a solid background in machine learning, statistics, and programming, often supported by an advanced degree in computer science or a related field. Familiarity with deep learning frameworks like TensorFlow or PyTorch, experience with cloud computing platforms, and proficiency in Python are typically required. Strong problem-solving skills, creativity, and the ability to communicate complex ideas clearly set outstanding candidates apart. These capabilities are essential for developing innovative AI solutions, interpreting results, and collaborating effectively in multidisciplinary teams.

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

AspectDeep Learning ScientistMachine Learning Engineer
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; strong background in deep learning frameworksBachelor's or Master's in Computer Science or related fields; proficiency in machine learning algorithms and software engineering
Work EnvironmentResearch-focused, experimental, often in R&D teamsDevelopment and deployment-focused, working on production systems
Employer & Industry UsageTech companies, research labs, AI startupsTech firms, finance, healthcare, and industries deploying ML models

While both roles involve machine learning, Deep Learning Scientists focus on developing advanced neural network models and research, whereas Machine Learning Engineers implement, optimize, and deploy these models in real-world applications.

What are Deep Learning Scientists?

Deep Learning Scientists are experts who design, develop, and implement advanced machine learning models inspired by the structure and function of the brain, known as artificial neural networks. They work with large datasets to train algorithms that can recognize patterns, make predictions, and solve complex problems in areas such as image recognition, natural language processing, and autonomous systems. Deep Learning Scientists often collaborate with software engineers, data scientists, and domain specialists to deploy models in real-world applications like healthcare, finance, and self-driving cars.

Will MLE be replaced by AI?

As a Deep Learning Scientist, machine learning engineering (MLE) involves designing and deploying models, which AI advancements can automate or enhance. However, MLE roles require expertise in data handling, model optimization, and domain knowledge that AI tools support but do not fully replace. Human oversight remains essential for ensuring model accuracy, ethical considerations, and system integration.

What are some typical challenges faced when working as a Deep Learning Scientist, and how can they be addressed?

Deep Learning Scientists often encounter challenges such as managing large datasets, tuning complex model architectures, and ensuring reproducibility of experiments. Handling these issues requires strong skills in data preprocessing, familiarity with version control systems, and experience with frameworks like TensorFlow or PyTorch. Collaborating closely with cross-functional teams—including data engineers, software developers, and domain experts—can also help in overcoming technical and project-related obstacles. Continuous learning and staying updated with the latest research is essential to excel in this rapidly evolving field.

Which 3 jobs will survive AI?

Deep Learning Scientists are likely to continue to be in demand as AI advances, especially in research, model development, and complex problem-solving roles. Jobs that require high levels of creativity, emotional intelligence, or physical dexterity, such as healthcare professionals, skilled trades, and creative artists, are also expected to persist. Combining technical skills with domain expertise will enhance job security in an AI-driven future.

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 Scientist or AI executive, with compensation including salary, bonuses, and stock options. These roles often require advanced expertise in machine learning, deep learning frameworks, and extensive industry experience, and they are usually found in leading tech companies or AI-focused organizations.

Is ML a high paying job?

Machine Learning (ML) roles, including positions like Deep Learning Scientist, are generally well-paid due to the specialized skills required, such as programming in Python, experience with neural networks, and knowledge of frameworks like TensorFlow or PyTorch. Salaries vary based on experience, location, and industry, but these roles tend to offer above-average compensation compared to many other tech jobs.
More about Deep Learning Scientist jobs
What cities are hiring for Deep Learning Scientist jobs? Cities with the most Deep Learning Scientist job openings:
What states have the most Deep Learning Scientist jobs? States with the most job openings for Deep Learning Scientist jobs include:
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Deep Learning Scientist jobs near you
Infographic showing various Deep Learning Scientist job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Deep Learning Scientist - eFinancialCareers

eFinancialCareers

Manhattan, NY • On-site

Full-time

Posted 15 days ago

Job description

Are you ready to be at the forefront of deep learning research? Our growth-stage company, fresh from securing significant investment, is on the lookout for an exceptionally talented Deep Learning Scientist. This is a rare chance to join one of the most innovative AI labs in the industry, where machine learning and deep learning are not just part of our strategy but the heart of our success.

What We Offer:

  1. A Cutting-Edge Environment: Dive into a workplace that embodies the cutting edge of AI research, offering unparalleled freedom and resources to explore and implement DL & ML technologies.
  2. Autonomy and Influence: You will have the autonomy to shape the direction of our AI initiatives, deciding 'how and when to apply DL & ML research' to drive our business forward.
  3. Collaboration with Industry Leaders: Work alongside some of the world's most respected professionals in AI, in an environment that thrives on collaboration and the entrepreneurial spirit.
  4. Impactful Work: Your work will not only push the boundaries of AI but also have a tangible impact across various units within our business, thanks to your engagement with key stakeholders.

Who We Are Seeking:

  1. An Expert in Deep Learning Research: Demonstrates a consistent history of outstanding research, including experience with transition models and sequence-to-sequence architecture; proficiency in reinforcement learning and deep neural network concepts is essential to bring value.
  2. A Champion of Collaboration: Exudes enthusiasm for cooperative work, eager to exchange knowledge and grow alongside some of the sector's brightest.

Apply