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Pytorch Jobs in Atlanta, GA (NOW HIRING)

Senior Machine Learning Engineer

Atlanta, GA · On-site +1

$117K - $155K/yr

Apply neural networks and deep learning techniques using PyTorch for appropriate use cases alongside scikit-learn-based classical approaches. * Write robust, production-ready code following ...

Guide model porting across frameworks and runtimes (e.g., PyTorch → ONNX → vendor specific runtimes) * Build prototypes and proof of concepts to reduce technical risk prior to full engineering ...

Generative AI Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

Active Certification/Advanced certification in Python, Pyspark, Pytorch, Tensorflow * Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.

Hands-on experience with frameworks such as PyTorch Geometric (PyG), DGL, GraphGym, GraphML systems, or custom GNN runtimes. * Advanced Anomaly Detection with Graph: Track record developing hybrid ...

Lead Generative AI Data Engineer III

Atlanta, GA · On-site

$98K - $129K/yr

Active certification or advanced certification in Python, Pyspark, Pytorch, and Tensorflow. * Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you ...

TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers. • GenAI orchestration tools: LangChain, Semantic Kernel, LlamaIndex; experience with prompt engineering and RAG architecture design ...

Hands-on evaluation and selection of AI/ML frameworks (PyTorch, TensorFlow, scikit-learn) and GenAI orchestration tools (LangChain, Semantic Kernel). * Review and approve solution architecture and ...

Guide model porting across frameworks and runtimes (e.g., PyTorch ONNX vendor specific runtimes) * Build prototypes and proof of concepts to reduce technical risk prior to full engineering investment ...

Active certification or advanced certification in Python, Pyspark, Pytorch, and Tensorflow. * Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you ...

Hands-on evaluation and selection of AI/ML frameworks (PyTorch, TensorFlow, scikit-learn) and GenAI orchestration tools (LangChain, Semantic Kernel). * Review and approve solution architecture and ...

Generative AI Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

Active Certification/Advanced certification in Python, Pyspark, Pytorch, Tensorflow * Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.

Google Contact Center AI

Alpharetta, GA · On-site

$15.75 - $21.50/hr

Experience in DL frameworks such as TensorFlow, PyTorch, XGBoost, (or other) * Knowledge of data flow and dialog flow in CCAI applications * Deep knowledge of how NLU (natural language understanding ...

Strong programming skills in Python with proficiency in relevant libraries (pandas, scikit-learn, TensorFlow/PyTorch) * Familiarity with data technologies (Hadoop, Spark) * Knowledge of deep learning ...

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Pytorch information

What are the key skills and qualifications needed to thrive in the Pytorch position, and why are they important?

To thrive in a PyTorch developer role, you need a strong background in deep learning, programming (especially Python), and a solid understanding of machine learning fundamentals, often supported by a degree in computer science, engineering, or a related field. Experience with PyTorch, CUDA, cloud platforms (like AWS or Azure), and familiarity with data processing pipelines are highly valued, and certifications in AI or machine learning can be beneficial. Key soft skills include problem-solving, teamwork, and effective communication to collaborate with cross-functional teams and present technical results clearly. These skills are crucial for building robust machine learning models, ensuring reproducibility, and driving innovation in fast-paced, data-driven environments.

What kinds of projects or tasks can a PyTorch developer expect to work on in a typical role?

As a PyTorch developer, you will likely work on developing, refining, and deploying deep learning models for tasks such as image recognition, natural language processing, or recommendation systems, depending on your company's focus. Your responsibilities may include data preprocessing, model architecture design, experimentation, performance tuning, and collaborating with data scientists and software engineers to integrate models into production systems. You might also be called upon to conduct research or prototype new algorithms, keeping up with the latest advancements in the AI field. Projects can vary from quick proofs of concept to large-scale deployments, offering diverse opportunities to grow your technical and collaborative skills.

What is a PyTorch job?

A PyTorch job typically involves working with the PyTorch deep learning framework to develop, train, and deploy machine learning models. Professionals in this role may build neural networks, perform data preprocessing, optimize models, and integrate them into applications. These jobs are commonly found in AI research, software development, and data science, requiring expertise in Python, deep learning, and model optimization techniques.

What are the most commonly searched types of Pytorch jobs in Atlanta, GA? The most popular types of Pytorch jobs in Atlanta, GA are:
What are popular job titles related to Pytorch jobs in Atlanta, GA? For Pytorch jobs in Atlanta, GA, the most frequently searched job titles are:
Infographic showing various Pytorch job openings in Atlanta, GA as of July 2026, with employment types broken down into 18% Internship, and 82% Full Time. Highlights an 82% In-person, and 18% Remote job distribution.

Machine Learning Engineer

Bespoke Labs

Lawrenceville, GA • On-site

Full-time

Re-posted yesterday


Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production

Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination