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Senior Deep Learning Data Scientist Jobs (NOW HIRING)

Senior Deep Learning Engineer

Austin, TX · On-site +1

$130K - $180K/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 ...

Senior Deep Learning Engineer - Perception

San Jose, CA · On-site

$123.70K - $169.90K/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.

Senior Deep Learning Engineer

New York, NY · On-site

$114.30K - $157K/yr

... data pipelines through to fine-tuned models - in a fast-moving startup context. This role is ideal ... Master's degree or PhD in Computer Science, Electrical Engineering, or other relevant field with ...

Senior Deep Learning Engineer

Manhattan, NY · On-site

$115.20K - $158.20K/yr

... data pipelines through to fine-tuned models - in a fast-moving startup context. This role is ideal ... Master's degree or PhD in Computer Science, Electrical Engineering, or other relevant field with ...

Data Scientist - Forecasting and Machine Learning Are you passionate about solving complex ... or incorporating deep learning architectures, under the guidance of senior team members.

Data Scientist - Forecasting and Machine Learning Are you passionate about solving complex ... or incorporating deep learning architectures, under the guidance of senior team members.

Data Scientist - Forecasting and Machine Learning Are you passionate about solving complex ... or incorporating deep learning architectures, under the guidance of senior team members.

Data Scientist - Forecasting and Machine Learning Are you passionate about solving complex ... or incorporating deep learning architectures, under the guidance of senior team members.

Data Scientist - Forecasting and Machine Learning Are you passionate about solving complex ... or incorporating deep learning architectures, under the guidance of senior team members.

Data Scientist - Forecasting and Machine Learning Are you passionate about solving complex ... or incorporating deep learning architectures, under the guidance of senior team members.

Data Scientist - Forecasting and Machine Learning Are you passionate about solving complex ... or incorporating deep learning architectures, under the guidance of senior team members.

Data Scientist - Forecasting and Machine Learning Are you passionate about solving complex ... or incorporating deep learning architectures, under the guidance of senior team members.

Data Scientist - Forecasting and Machine Learning Are you passionate about solving complex ... or incorporating deep learning architectures, under the guidance of senior team members.

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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 May 28, 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 are the key skills and qualifications needed to thrive as a Senior Deep Learning Data Scientist, and why are they important?

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 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 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.

More about Senior Deep Learning Data Scientist jobs
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 Engineer

Senior Deep Learning Engineer

Targeted Talent

Austin, TX • On-site, Remote

$130K - $180K/yr

Full-time

Posted 16 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