1

Freelance Deep Learning Engineer Jobs in Kentucky

$152 - $288/hr

## Senior Deep Learning Software Engineer, InferenceApplylocations: US, CA, Remote: US, TX, Remote: US, NY, Remote: US, WA, Remote: US, MA, Remotetime type: Full timeposted on: Posted Yesterdayjob ...

New

$180 - $280/hr

We're hiring our Founding Machine Learning Engineer (MLE) with expertise in Agent Development and ... Deep understanding of agent evaluation techniques (reliability, safety, success metrics) * Up-to ...

New

$180 - $260/hr

... deep learning, transformer models, and frameworks like PyTorch or TensorFlow.- Familiarity with training and fine-tuning large language models, including methods like supervised fine-tuning ...

New

$160 - $240/hr

Apply traditional ML and deep learning techniques to continuously enhance the accuracy, efficiency ... Collaborate with software engineers, Workday app developers, product managers, and other ML teams

$197 - $314/hr

Slack is looking for a Staff Machine Learning Engineer with deep expertise in model training and finetuning to join our ML team. You'll design, train, and ship NLP models that power core product ...

New

$124 - $242/hr

Deep Learning, Artificial Intelligence, and Large Language Models. If you're a creative engineer with a real passion for robust and enjoyable user experiences, we want to hear from you.Your base ...

$230 - $322/hr

As a Staff Machine Learning Engineer on Shopping Ads, you will lead the technical strategy and ... Experience with deep learning architectures such as multi-task models, sequence models ...

$150 - $230/hr

Role As a Principal Machine Learning Engineer, you are a deep technical authority responsible for designing and evolving the most critical ML systems in the company. You operate across training ...

New

$140 - $210/hr

The position collaborates with engineers to integrate AI features into Bardeen's products, ensuring ... Experience with modern deep learning models, particularly large language models (LLMs) and ...

New

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...

$180 - $240/hr

JOB SUMMARY The Senior Reinforcement Learning Engineer is a key, hands-on role focused on achieving ... This engineer will leverage their deep expertise in RL to solve critical locomotion and ...

New

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...

next page

Showing results 1-20

Freelance Deep Learning Engineer information

What are popular job titles related to Freelance Deep Learning Engineer jobs in Kentucky?

For Freelance Deep Learning Engineer jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Freelance Deep Learning Engineer jobs in Kentucky look for?

The top searched job categories for Freelance Deep Learning Engineer jobs in Kentucky are:

What cities in Kentucky are hiring for Freelance Deep Learning Engineer jobs?

Cities in Kentucky with the most Freelance Deep Learning Engineer job openings:

Senior Deep Learning Software Engineer, Inference

NVIDIA Corporation

On-site

$152 - $288/hr

Other

Posted yesterday

New


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies


Job description

## Senior Deep Learning Software Engineer, InferenceApplylocations: US, CA, Remote: US, TX, Remote: US, NY, Remote: US, WA, Remote: US, MA, Remotetime type: Full timeposted on: Posted Yesterdayjob requisition id: JR2003655NVIDIA seeks a Senior Software Engineer specializing in Deep Learning Inference for our growing team. As a key contributor, you will help design, build, and optimize the GPU-accelerated software that powers today’s most sophisticated AI applications. Our team is responsible for developing and maintaining high-performance open-source frameworks, which are at the forefront of efficient large-scale model serving and inference. You will play a central role in improving these platforms, facilitating smooth deployment and serving of groundbreaking language models.You’ll work closely with the deep learning community to implement the latest algorithms for public release in inference frameworks. Your work will focus on identifying and driving performance improvements for state-of-the-art LLM and Generative AI models across NVIDIA accelerators, from datacenter GPUs to edge SoCs. You'll bring to bear open-source tools and plugins—including CUTLASS, OAI Triton, NCCL, and CUDA kernels—to implement and optimize model serving pipelines.**What you'll be doing:*** Performance optimization, analysis, and tuning of DL models in various domains like LLM, Multimodal and Generative AI.* Scale performance of DL models across different architectures and types of NVIDIA accelerators.* Contribute features and code to NVIDIA’s inference libraries, vLLM and SGLang, FlashInfer and LLM software solutions.* Work with cross-collaborative teams across frameworks, NVIDIA libraries and inference optimization innovative solutions.**What we need to see:*** Masters or PhD or equivalent experience in relevant field (Computer Engineering, Computer Science, EECS, AI).* 5+ years of relevant software development experience.* You'll need excellent C/C++ programming and software design skills. SW Agile skills are helpful and Python experience is a plus.* Prior experience with training, deploying or optimizing the inference of DL models in production is a plus.* Prior background with performance modeling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU is a plus.* GPU programming experience (CUDA, OAI TRITON or CUTLASS) is a plus.**Ways to Stand out from The Crowd*** Contribute to deep learning software projects, such as PyTorch, vLLM, and SGLang to drive advancements in the field.* Experience with Multi GPU Communications (NCCL, NVSHMEM)With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you!Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until August 15, 2026.This posting is for an existing vacancy.NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #J-18808-Ljbffr

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

Year founded

1993