Remote Data Jobs • PyTorch

17 results

Job listings

$140,000–$165,000
USD/year

As an AI/Machine Learning Engineer, you will lead the development and deployment of advanced machine learning models and AI solutions. You will collaborate with cross-functional teams to drive innovation and deliver impactful AI-driven products. You’ll apply AI/ML expertise to solve meaningful challenges in federal programs, driving innovation in healthcare, veterans’ services, and more.

We are seeking a talented and motivated Machine Learning Intern to join our team. This role is ideal for a Master’s level student passionate about applying machine learning techniques to solve real-world problems. As a Machine Learning Intern, you will work closely with our data scientists and engineers to develop, train, and deploy machine learning models that drive our technology forward.

AI Engineer

Bjak 🤖💱🤝

Looking for an AI Engineer based in Vietnam to work fully remotely while collaborating with Bjak's Malaysia team. The AI Engineer will collaborate with product managers to define AI project objectives, design and implement AI models,drive data-driven decision-making, and lead research efforts to integrate cutting-edge AI techniques.

Machine Learning Engineer

Bjak 🤖💻📈

This is a fully remote role based in Vietnam, where you will collaborate closely with our Malaysia-based team on AI-driven projects. If you are passionate about AI and eager to work on impactful solutions, we’d love to hear from you where you'll define AI and machine learning objectives, and design, develop, and implement AI models.

Shape the future of Phillies Baseball Operations by building computer vision models and pipelines to construct predictive metrics and output that improve our player evaluation forecasts and player development capabilities. Using cutting-edge computer vision methodologies and techniques, weaponize the depth and breadth of video available across all player performance settings by extracting meaningful signal for downstream models and analysis.

Machine Learning Engineer

NordVPN 🛡️🌐🔑
$53,016–$90,265
USD/year

Design & implement machine learning models in production. Create infrastructure for data ingestion, cleaning, and transformation. Ensure scalability, reliability, and performance of deployed models & infrastructure. Work closely with cross-functional teams to integrate machine learning solutions into products and services. Document model development processes, experiments, and results for future reference and reproducibility.

AI/Machine Learning Engineer

Wilcore ✨💻💡
$130,000–$165,000
USD/year

As an AI/ML Engineer, you’ll help design, build, and deploy machine learning models that improve how Veterans interact with digital services like VA.gov. You’ll collaborate with product managers, data scientists, and engineering teams to support initiatives such as intelligent routing for support requests, personalized content delivery, anomaly detection, and natural language processing for virtual agents.

$180,000–$220,000
USD/year
US Canada Unlimited PTO

We're on the lookout for a Machine Learning Engineer to spearhead the evolution of our device intelligence and fingerprinting systems. This is a chance to lead groundbreaking projects that directly combat fraud and enhance security for millions. You will design and refine backend services using Go (Golang) to process and analyze device data, ensuring robustness and scalability.

Evaluate, adapt, and integrate pretrained computer‑vision models—such as Vision Transformers and vector‑quantized encoders—into Enchant’s existing modalities. Locate and curate clinical imaging datasets (radiology, pathology, microscopy, etc.) and set clear benchmarks for model performance. Build reliable data pipelines for large image collections, including ingestion, preprocessing, augmentation, and storage.

ML Engineer

Eleks 🤖💡📊

ELEKS Artificial Intelligence Office is looking for an ML Engineer in Poland, Croatia and Ukraine. The job involves developing a cloud-based platform for the biopharma industry that enables users to simulate and interact with digital twins of manufacturing processes. Responsibilities include collecting, transforming, and preprocessing raw data, building statistical and probabilistic models, and implementing the model in a form that can be easily used by engineers.