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Senior Deep Learning Data Scientist Jobs (NOW HIRING)

SumerSports LLC

Senior Deep Learning Engineer

$155K - $185K/yr

We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs ... Position Summary As a Senior Deep Learning Engineer on the Football Modeling side, you'll work ...

Targeted Talent

Senior Deep Learning Engineer

Austin, TX · On-site +1

$103K - $142K/yr

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus ... Bachelor's degree in Computer Science, Engineering, or related field * 5+ years of experience, with ...

Imagry

Senior Deep Learning Engineer - Perception

San Jose, CA · On-site

$123K - $169K/yr

Description Senior Deep Learning Engineer, Computer Vision imagry.E4.E30@comeetapply.com Location ... Supervise complex data pipelines, from the collection stage, through annotation, to model training.

Imagry

Senior Deep Learning Engineer - Perception

San Jose, CA · On-site

$123K - $169K/yr

Senior Deep Learning Engineer, Computer Vision imagry.E4.E30@comeetapply.com Location: San Jose, CA ... Supervise complex data pipelines, from the collection stage, through annotation, to model training.

Socket.dev

Data Scientist

Chantilly, VA · On-site

$100 - $140/hr

... learning, deep learning, data visualizations, and data management. Depending on the specific ... Data Scientist, Level 3 (Senior) * Oversees data science techniques for cybersecurity solutions ...

Nvidia

Senior Deep Learning Performance Architect

Austin, TX · On-site

$165K/yr

We are now looking for a Senior Deep Learning Performance Architect! NVIDIA is seeking outstanding ... MS or PhD in a relevant discipline (Computer Science, Electrical Engineering, Computer Engineering ...

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Senior Deep Learning Data Scientist information

See salary details

$41.5K

$142.5K

$201K

How much do senior deep learning data scientist jobs pay per year?

As of Aug 27, 2026, the average yearly pay for senior deep learning data scientist in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What does a senior deep learning data scientist do?

A Senior Deep Learning Data Scientist designs, develops, and implements advanced deep learning models to solve complex problems in areas such as computer vision, natural language processing, and predictive analytics. They lead data-driven projects, collaborate with cross-functional teams, and mentor junior data scientists. In addition to building and optimizing neural networks, they are responsible for interpreting data, refining algorithms, and ensuring the solutions are scalable and robust for real-world applications.

What are the key skills and qualifications needed to thrive as a senior deep learning data scientist?

To thrive as a Senior Deep Learning Data Scientist, you need advanced knowledge in machine learning, deep learning frameworks, statistical analysis, and a relevant degree such as a master's or PhD in computer science or a related field. Expertise in programming languages like Python, experience with TensorFlow or PyTorch, and familiarity with cloud platforms are typically required, along with certifications in AI or data science being advantageous. Strong problem-solving abilities, collaboration, and effective communication help you lead projects and translate complex findings to stakeholders. These skills are essential to drive innovation, build impactful models, and ensure projects deliver business value in a rapidly evolving field.

How do senior deep learning data scientists typically collaborate with cross-functional teams during a project?

Senior Deep Learning Data Scientists frequently work alongside data engineers, software developers, and domain experts to deliver end-to-end machine learning solutions. They are responsible for translating complex business problems into data-driven approaches, ensuring that models are aligned with project objectives. Regular meetings, code reviews, and knowledge-sharing sessions are common to synchronize efforts and integrate models into production systems smoothly. This collaboration is critical for maintaining model performance and scalability, and it also helps bridge the gap between technical and non-technical stakeholders.

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

AspectSenior Deep Learning Data ScientistMachine Learning Engineer
Required CredentialsAdvanced degree in CS, Data Science, or related field; experience in deep learning frameworksDegree in CS, Software Engineering, or related; strong programming skills in Python, Java, or C++
Work EnvironmentResearch-focused, data analysis, model development, experimentationDeployment, system integration, scalable model production
Employer & Industry UsageTech companies, research labs, AI startupsTech firms, SaaS companies, AI product development

The main difference is that Senior Deep Learning Data Scientists focus on developing and researching deep learning models, while Machine Learning Engineers primarily implement, optimize, and deploy these models into production systems. Both roles require strong technical skills, but their day-to-day tasks and focus areas differ.

What cities are hiring for Senior Deep Learning Data Scientist jobs?

Cities with the most Senior Deep Learning Data Scientist job openings:

What states have the most Senior Deep Learning Data Scientist jobs?

States with the most job openings for Senior Deep Learning Data Scientist jobs include:

Senior Deep Learning Data Scientist jobs near you
Infographic showing various Senior Deep Learning Data Scientist job openings in the United States as of June 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Senior Deep Learning Scientist

California, MO • On-site

well-funded deeptech startup
See more jobs at well-funded deeptech startupexternal

$200 - $400/hr

Other

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Senior Deep Learning Scientist – World Leading Electric Vehicle Company – $200-400k

We are seeking a highly skilled Deep Learning Scientist to join our team at a world-leading EV company. In this role, you will be responsible for developing and implementing deep learning algorithms and models for various applications in our electric vehicles. You will work closely with our engineering and research teams to create and optimize innovative solutions that will revolutionize the EV industry.

Responsibilities
  • Develop and implement deep learning algorithms and models for various applications in EVs, such as autonomous driving, predictive maintenance, and energy management
  • Collaborate with cross-functional teams to understand business needs and requirements, and translate them into technical solutions
  • Analyze large data sets, and identify patterns and insights using machine learning and statistical techniques
  • Conduct experiments, and evaluate and compare different models to identify the best-performing solutions
  • Stay up-to-date with the latest research and developments in deep learning, and apply them to our products and services
Qualifications
  • PhD or Master’s degree in Computer Science, Electrical Engineering, Mathematics, or related field
  • Strong background in deep learning, machine learning, and computer vision
  • Proficiency in programming languages such as Python, C++, and TensorFlow
  • Experience in developing and deploying deep learning models in real-world applications
  • Excellent analytical and problem-solving skills, and ability to work in a fast-paced, collaborative environment
  • Strong communication skills, and ability to present complex technical concepts to non-technical stakeholders

If you are passionate about using deep learning to make a meaningful impact in the EV industry, and are excited to work with a dynamic and innovative team, we encourage you to apply for this position.

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