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Senior Deep Learning Data Scientist Jobs in Texas

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 ...

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 ...

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 ...

NXP Semiconductors

Data Scientist

Austin, TX · On-site

$101K/yr

Designs, develops and performs data scientist responsibilities in conjunction with NXP's global ... and Deep Learning. Salary: $101,230 per year. More information about NXP in the United States.

NXP Semiconductors N.V.

Data Scientist

Austin, TX · On-site

$101K/yr

Designs, develops and performs data scientist responsibilities in conjunction with NXP's global ... and Deep Learning. Salary: $101,230 per year. More information about NXP in the United States.

Sarian, Inc.

Sr. Data Scientist

Irving, TX · On-site

Role: Data Scientist Location: Irving, TX - Fulltime Position Data Scientist with Generative AI ... Machine learning, NLP & deep learning: Strong understanding of supervised and unsupervised learning ...

Nvidia

Senior Deep Learning Compiler Engineer

Austin, TX

$103K - $142K/yr

Our DLC has been the backbone of NVIDIA inference engine, spanning across data centers, personal ... D. in Computer Science, Computer Engineering, related field or equivalent experience * 3+ years of ...

Vytwo

Data Scientist - INDIA

Prosper, TX · On-site

Build NLP pipelines using deep learning frameworks such as PyTorch , TensorFlow , or similar ... Core Data Science Engineering & MLOps * Work in Databricks for ETL, feature engineering, ML ...

Augment

Principal Scientist, Data

Houston, TX

$80 - $83/hr

Data Scientist - AI/ML Focus Worksite: Onsite Monday-Thursday (Mandatory) - Houston, TX Must-Have ... Design, train, fine-tune, and evaluate machine learning and deep learning models--including LLMs ...

Cymertek Corporation

Data Scientist

San Antonio, TX · On-site

$90 - $130/hr

Data Scientist KEY SUMMARY We are seeking a curious and innovative Data Scientist to join our team ... Knowledge of deep learning frameworks * Familiarity with cloud platforms * Experience with A/B ...

GRVTY

Data Scientist 3

San Antonio, TX · On-site

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming, data mining, advanced statistical analysis, advanced mathematical ...

SWBC

Senior Data Scientist

San Antonio, TX · On-site

$140 - $210/hr

The Senior Data Scientist will serve as a subject matter expert and strategic partner to business ... Extensive experience with advanced machine learning techniques, including deep learning, natural ...

SWBC

Senior Data Scientist

San Antonio, TX · On-site

The Senior Data Scientist will act as a technical leader, mentoring the Data Science team and ... learning techniques, including deep learning, natural language processing (NLP), time series ...

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Senior Deep Learning Data Scientist information

See Texas salary details

$22.5K

$123.5K

$181.2K

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 Texas is $123,536.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,700.00 and $145,800.00 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 in Texas are hiring for Senior Deep Learning Data Scientist jobs?

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

Senior Deep Learning Data Scientist jobs near you
Infographic showing various Senior Deep Learning Data Scientist job openings in Texas as of June 2026, with employment types broken down into 83% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $123,536 per year, or $59.4 per hour.

Senior Deep Learning Engineer

Austin, TX • On-site, Remote

Targeted Talent
Recruiting and Staffing Services • 11 - 50 employees
Learn more about Targeted Talentexternal

$103K - $142K/yr

Full-time

Re-posted 17 days ago

Job description

We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or related field
  • 5+ years of experience, with at least 2 years in both deep learning and software engineering
  • Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
  • Experience with CNNs, LSTMs/RNNs, Transformers
  • Strong math skills and Python proficiency
  • Experience with C/C++

Preferred Skills & Experience:

  • Master's or PhD in Computer Science, Engineering, or related field
  • Experience in embedded or low-level programming
  • Knowledge of CUDA/OpenGL
  • Experience deploying neural networks in production
  • Familiarity with model compression techniques like quantization, pruning, etc.
These are permanent full time remote positions.
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About Targeted Talent

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Your single source for HR professional services, we offer job seekers specialized employment services, spanning contract, permanent positions, and project solutions for highly specialized and managerial level talent needs. Our team of specialized recruiters and consultants abilities extend far beyond resume or career counseling. With hundreds of collaborators strategically located throughout the country, our organization possess the local market knowledge and industry relationships that make successful geography-specific reach possible.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Vancouver, BC, CA

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