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Senior Deep Learning Data Scientist Jobs (NOW HIRING)

VT Group (VTG)

Data Scientist

Chantilly, VA · On-site

... deep learning, data visualizations, and data management. • Depending on the specific position ... Senior) Functional Description: In addition to achieved duties described in Level 2, the Data ...

Xforia, Inc.

Data Scientist

Atlanta, GA · On-site

Key Skills: - LLM - NLP - GenAI - RAG - Python Summary We are seeking a highly skilled and motivated Senior Data Scientist with expertise in deep learning, particularly as applied to a combination of ...

Chabez Tech LLC

Senior Data Scientist

Manor, TX · On-site

Senior Data Scientist Location: Austin, TX / Cupertino, CA - Hybrid (3 Days/Week) Duration ... or Deep Learning is a plus -- Experience working with large and complex datasets -- Data ...

Everwatch

Data Scientist, Senior

Augusta, GA · On-site

$62.50 - $69.72/hr

Job Title Data Scientist, Senior Overview EverWatch is a government solutions company providing ... neural networks, deep learning, image recognition, and algorithm development * Experience ...

Everwatch

Data Scientist, Senior

Augusta, GA · On-site

$179.09/hr

Job Title Data Scientist, Senior Overview EverWatch is a government solutions company providing ... neural networks, deep learning, image recognition, and algorithm development * Experience ...

Extend

Senior Machine Learning Data Scientist

$135K - $165K/yr

As a Senior ML Data Scientist, you will own the development of cutting-edge machine learning models ... High attention to detail, strong intellectual curiosity, and a deep understanding of user behavior ...

W3Global

Senior Data Scientist

Houston, TX · On-site

Senior Data Scientist - GenAI / RAG Location: Houston, TX (Onsite - 5 Days) Type: Full-Time We are ... Machine Learning (ML) Deep Learning (DL): Hands-on experience with: Generative AI (LLMs, RAG ...

Compunnel

Senior Data Scientist

Raleigh, NC · On-site

Key Responsibilities Experience with machine learning algorithms, including deep learning, gradient boosting, and random forests Possess knowledge and skills in a senior data scientist position ...

VTG

Data Scientist

Chantilly, VA

$165K - $210K/yr

... learning, deep learning, data visualizations, and data management. Depending on the specific ... Data Scientist Level 3 (Senior) Functional Description: In addition to achieved duties described in ...

Apple

Machine Learning - Data Scientist

Sunnyvale, CA · On-site

Do you have a passion for computer vision and solving deep learning problems? The Video Engineering ... data scientists, and ML Infrastructure engineers to deliver amazing user experiences! Description ...

VTG

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

... learning, deep learning, data visualizations, and data management. Depending on the specific ... Data Scientist Level 3 (Senior) Functional Description: In addition to achieved duties described in ...

E Ink

Senior Deep Learning Researcher

Billerica, MA · On-site

$130K - $160K/yr

Collaborate with scientists to integrate domain knowledge into deep learning architectures and ... Promote data quality, reproducibility, and experimental lineage across projects. Qualifications:

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Senior Deep Learning Data Scientist information

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$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 Engineering - Autonomous Vehicles

NVIDIA

Redmond, WA • On-site

$117K - $160K/yr

Full-time

Re-posted 14 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Job description

Job Summary:
NVIDIA has been transforming computer graphics and accelerated computing for more than 25 years, and they are seeking a Senior Deep Learning Engineer to develop systems and algorithms for autonomous vehicles. This role involves collaborating with researchers and software engineers to integrate AI models from training to production, focusing on large language models and vision-language models.
Responsibilities:
• Explore SOTA LLM/VLM models for search and classification of AV scenarios
• Hands on model developments such as fine-tuning large LLM/VLMs for internal use cases
• Collaborate with software engineers and researchers to ensure seamless integration of models from training to deployment.
Qualifications:
Required:
• Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field (or equivalent experience)
• 10+ years of professional experience in deep learning or applied machine learning.
• Strong foundation in deep learning algorithms, including hands-on experience with LLMs and VLMs
• Deep understanding of general transformer architectures, inference bottlenecks, and popular model architectures such Qwen family.
• Proficient in building and deploying models using PyTorch in production-grade environments.
• Solid programming skills in Python
Preferred:
• Proven experience deploying LLMs or VLMs at scale in real-world applications using vLLM, SGLang.
• Hands-on experience with SFT, DPO, GRPO techniques for fine-tuning
• Proven experience in developing image and video search solutions at scale.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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