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Ai Model Jobs (NOW HIRING)

Qualcomm

AI Model Optimization Architect

San Diego, CA · On-site

They are seeking a Staff Engineer - AI Model Optimization Architect to lead model transformation and optimization efforts for various AI models on Qualcomm's inference accelerators. Responsibilities ...

Sas

AI/Model Security Architect

Cary, NC · On-site

$150 - $210/hr

AI/Model Security Architect- Hybrid, Cary, North Carolina We're a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence ...

Qualcomm

AI Model Optimization Architect

San Diego, CA · On-site

$158.40 - $237.60/hr

Position Overview We are seeking a Staff Engineer - AI Model Optimization Architect to lead end-to-end model transformation and optimization for LLMs, VLMs, diffusion, and multimodal models on ...

SAS

AI/Model Security Architect

Cary, NC · On-site

$60.75 - $78.50/hr

AI/Model Security Architect- Hybrid, Cary, North Carolina We're a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence ...

Qualcomm

AI Model Optimization Architect

San Diego, CA · On-site

We are seeking a Staff Engineer - AI Model Optimization Architect to lead end-to-end model transformation and optimization for LLMs, VLMs, diffusion, and multimodal models on Qualcomm inference ...

AIG

AI Model Validation Lead, GenAI

Atlanta, GA · On-site

$210K - $280K/yr

AI Model Validation Lead Be part of something groundbreaking At AIG, we are making long-term investments in a brand-new, innovative Generative AI team, designed to explore new possibilities for how ...

vTech Solution

Cloud Architect AI Model Remote

Trenton, NJ · On-site

$65.25 - $83/hr

Effective use of AI requires more than just model development. We need an expert who can manage deployment, monitoring, versioning, and scaling to ensure models operate reliably and safely in ...

Triwill Group

$120 - $170/hr

Our partner is looking for a Project Lead, AI Model Training based in United States. This is a high-impact opportunity to lead complex AI training and evaluation engagements from initial scope ...

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Ai Model information

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How much do ai model jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for ai model in the United States is $31.37, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $39.18 per hour, depending on experience, location, and employer.

What is an AI model?

AI models are computer programs designed to simulate human intelligence by learning patterns from data and making predictions or decisions based on that learning. These models can perform a variety of tasks, such as recognizing speech, translating languages, analyzing images, and generating text. AI models are created using machine learning algorithms and are trained on large datasets to improve their accuracy and performance. Popular examples include neural networks, decision trees, and support vector machines. The effectiveness of an AI model depends on the quality of the data, the chosen algorithm, and the training process.

What are the key skills and qualifications needed to thrive as an AI model, and why are they important?

To excel as an AI Model Developer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science, data science, or a related field. Familiarity with ML frameworks like TensorFlow or PyTorch, cloud platforms, and relevant certifications such as TensorFlow Developer or AWS Machine Learning Specialty are valuable. Critical thinking, continuous learning, and effective collaboration with interdisciplinary teams are key soft skills for success. These competencies enable the creation of accurate, reliable AI models that can effectively solve complex real-world problems.

What are some common challenges faced by professionals working as AI model developers, and how can they address them?

Professionals working as AI Model developers often encounter challenges such as managing large and complex datasets, ensuring model accuracy, and addressing issues of bias in algorithms. They may also need to balance the trade-off between model performance and interpretability, especially when deploying models in production environments. To overcome these challenges, AI Model developers typically collaborate closely with data engineers, domain experts, and other stakeholders, regularly validate their models, and stay updated with the latest advancements in the field to adopt best practices.

What is the difference between Ai Model vs Data Scientist?

AspectAi ModelData Scientist
Required CredentialsKnowledge of machine learning, programming skills, sometimes certifications in AI/MLDegree in data science, statistics, computer science; certifications beneficial
Work EnvironmentFocus on developing, training, and deploying AI modelsData analysis, interpretation, and visualization; often collaborates with AI teams
Industry UsageUsed in AI development, automation, and predictive modelingApplied across industries for insights, reporting, and decision-making

While both roles involve working with data and algorithms, an Ai Model primarily focuses on creating and refining AI systems, whereas a Data Scientist analyzes data to generate insights and supports AI development. The roles often overlap but serve distinct functions within the data and AI ecosystem.

What is the easiest AI Model job to get into?

Entry-level AI model jobs often include roles such as data annotator or junior machine learning assistant, which typically require basic programming skills in Python and understanding of data labeling. These positions usually have lower experience requirements and may offer on-the-job training, making them accessible for beginners entering the AI field.
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Ai Model jobs near you
Infographic showing various Ai Model job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $65,246 per year, or $31.4 per hour.

AI Model Optimization Architect

Qualcomm

San Diego, CA • On-site

Full-time

Re-posted 22 days ago

Qualcomm rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

48th of 247 rated software companies

Job description

Job Summary:
Qualcomm Technologies, Inc. is at the forefront of Cloud AI, developing platforms for efficient inference of large-scale models. They are seeking a Staff Engineer – AI Model Optimization Architect to lead model transformation and optimization efforts for various AI models on Qualcomm's inference accelerators.
Responsibilities:
• Architect and deliver model optimization strategies that transform PyTorch models for efficient inference on Qualcomm accelerators.
• Drive graph capture and deployment using PyTorch, ONNX, and torch.compile, including model rewrites and graph-level transformations.
• Design and implement fusion kernels using DSL based approaches (e.g., Triton), enabling fused operations and performance critical algorithmic rewrites.
• Partner deeply with compiler, performance, and accuracy teams to co-design lowering strategies, kernel fusion, layout decisions, and runtime integration.
• Profile and optimize LLM/VLM/diffusion inference for throughput and latency across batch sizes, sequence lengths, and serving modes.
• Own transformer specific optimizations including KVcache management, decoding behavior, and long context performance.
• Enable and optimize continuous batching (dynamic/iteration-level scheduling), understanding its impact on memory, scheduling, and tail latency.
• Architect and scale distributed inference strategies (e.g., sharding and parallelism) across multi-core and multi-device systems.
• Establish reusable approaches to scale model optimizations to new hardware architectures, creating robust patterns and tooling.
• Debug complex performance or stability issues to root cause and drive production ready solutions.
Qualifications:
Required:
• Expert level expertise in PyTorch and inference focused model optimization; strong Python engineering skills.
• Hands on experience with torch.compile / TorchDynamo or related graph capture and compilation workflows.
• Deep understanding of transformer architectures, attention mechanisms, MoEs, and performance trade-offs.
• Practical experience with KVcache behavior, serving time optimizations, and memory/performance tradeoffs.
• Strong foundation in computer architecture, ML accelerators, and distributed systems.
• Proven ability to lead cross-functional technical efforts and influence design decisions.
• MS in Computer Science, Machine Learning, Computer Engineering, or Electrical Engineering, or equivalent experience.
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Preferred:
• Experience developing fusion kernels using Triton or similar DSLs, and collaborating with ML compiler teams.
• Familiarity with LLM serving stacks and continuous batching systems.
• Background in numerical methods, performance/accuracy trade-off analysis, or evaluation frameworks.
• PhD in a relevant field.
Company:
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices. Founded in 1985, the company is headquartered in San Diego, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Qualcomm employees say

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Hours and flexibility

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About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985

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