Remote Working

Remote working from home provides convenience and freedom, a lifestyle embraced by millions of people around the world. With our platform, finding the right job, whether full-time or part-time, becomes quick and easy thanks to AI, precise filters, and daily updates. Sign up now and start your online career today — fast and easy!

Remote IT Jobs Remote Job Salaries

PyTorch

443 jobs found. to receive daily emails with new job openings that match your preferences.

443 jobs found.

Set alerts to receive daily emails with new job openings that match your preferences.

Apply

🔥 Senior Data Scientist | CARE

Posted about 4 hours ago

📍 Brazil, Portugal

🔍 Wellness

🏢 Company: Wellhub

🔧 Requirements

Master’s degree or PhD in Computer Science, Data Science, Machine Learning, Statistics, or a related field.
Proficiency in Python and experience with machine learning frameworks such as PyTorch, TensorFlow, or similar.
Strong understanding of generative AI architectures, including transformers and attention mechanisms.
Experience in multi-agent systems and LLMs.
Strong problem-solving abilities, with a focus on experimental design and data analysis.
Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Have clear scientific thinking and a passion for integration R&D and cutting-edge technology into a product
Prior experience in Python and SQL

💡 Responsibilities

Model Development & Fine tuning: Understanding of state-of-the-art deep learning techniques, such as Transformers architectures and attention mechanisms, and knowledge of fine-tuning LLMs for enhanced model performance, using techniques such as LoRA, QLoRA, among others.
Function Calling & Tool Use: Design and implement structured function calling mechanisms within LLMs to enable dynamic interactions with APIs, databases, and retrieval-augmented generation (RAG) pipelines.
Prompt Engineering: Craft clear instructions that help our models understand exactly what we need, creating reusable templates and testing against edge cases.
Data Preparation: Preprocess, analyse, and curate high-quality datasets to train and fine-tune both embedding and generative models.
Evaluation and Testing: Develop robust evaluation frameworks to assess agentic AI performance, combining automated evaluation (LLM-as-judge), adversarial testing, human-in-the-loop evaluations, and custom behavioral metrics.
LLM Observability: Establish monitoring systems that track LLM behavior in production, capturing key metrics around information retrieval, hallucinations, and latency.
Research and Innovation: Stay current with the latest research in generative AI,, share insights with the team, test promising approaches, and help make us better.
Deployment: Collaborate with engineering teams to deploy models in scalable and efficient production environments.

AWS Python SQL Data Analysis Machine Learning PyTorch Algorithms Amazon Web Services Data science Tensorflow CI/CD RESTful APIs Data visualization Data modeling

Posted about 4 hours ago

Apply

🔥 Senior AI Engineer

Posted about 4 hours ago

📍 Canada

🧭 Full-Time

🔍 Software Development

🏢 Company: Procurify👥 101-250💰 $20,000,000 5 months agoCloud Computing SaaS Supply Chain Management Enterprise Software FinTech Software Procurement

🔧 Requirements

4-6+ years in a similar Machine Learning or Data Scientist role, including 2+ years experience in LLMs.
Proven experience as the first ML engineer or a similar role, demonstrating a strong ability to build ML and AI systems from the ground up.
Demonstrated experience building AI apps in production.
Proficiency in machine learning frameworks and libraries (e.g. Tensorflow, PyTorch, scikit-learn, Pandas)
Experience in building with LLMs such as GPT, Claude, Llama etc and strong understanding of LLM architectures and tools (Llamaindex, vector databases, Transformers, Langchain etc)
Experience with ETL/ELT tools, Data Lakehouse tech (Databricks, Python, Apache Spark, Hive, Parquet) and advanced SQL knowledge.
Strong programming skills in Python and familiarity with additional languages and tools commonly used in ML engineering.
Comfortable leading by example and using influence to drive collaboration, documentation, and knowledge sharing across teams and with a broad range of stakeholders.
Able to demonstrate initiative, work independently, and thrive with autonomy while collaborating across teams in a culture of priority setting and moving forward with urgency in alignment with our organizational strategy
Adept at focusing on multiple competing priorities, solving unique and complex technical problems, and persistently resolving blockers to progress
Familiar with DevOps and MLOps principles such as design for manageability and root cause analysis
Familiar working within leading software development best practices such as scrum/kanban, CI/CD, and test automation
A strong driver to stay ahead of the curve with GenAI research and apply those insights to build real-world applications.

💡 Responsibilities

Develop and refine autonomous agents leveraging generative AI to automate and streamline user workflows, enhancing operational efficiency and user experience.
Design, create, evolve, and maintain scalable and efficient machine learning systems including, data pipelines, model training, deployment, and monitoring frameworks.
Integrate and leverage Large Language Models (LLMs) to develop advanced NLP features, including but not limited to chatbots, workflow automation agents and data analysis tools using state-of-the-art models (e.g. OpenAI, Anthropic, open source models).
Develop and enhance systems to deliver personalized experiences to our users, utilizing advanced machine learning and AI technologies to derive engagement and satisfaction.
Partner across Product and Engineering teams on requirements to create product capabilities that fundamentally rely on AI and Machine Learning.
Drive conversations within Engineering to improve and optimize the source data models, integration of the ML capabilities including those in our product platform.
Identify, design, and implement internal process improvements, including automation for data quality control and data validation, improved data delivery, and scalability.
Mentor other engineers, imparting best practices and institutionalizing efficient processes to foster growth and innovation within the team.

Python SQL ETL Machine Learning Numpy PyTorch Data engineering Data science Pandas Spark Tensorflow CI/CD RESTful APIs DevOps

Posted about 4 hours ago

Apply

🔥 Senior Applied Scientist - Multimodal LLMs

Posted about 4 hours ago

📍 United States

🧭 Full-Time

💸 135481.5 - 227700.0 USD per year

🔍 Software Development

🏢 Company: Samsara👥 1001-5000💰 Secondary Market over 4 years ago🫂 Last layoff almost 5 years agoCloud Data Services Business Intelligence Internet of Things SaaS Software

🔧 Requirements

5+ years experience as an Applied Scientist, Machine Learning Engineer, or similar role
BS or MS in Computer Science or another quantitative field
Strong proficiency in one or more common languages (e.g., Python, Java, C++, Golang)
Proficiency with common ML tools and frameworks (e.g., PyTorch, TensorFlow, Spark)
Proficiency in pulling your own data via SQL, Spark, or a similar data-querying language

💡 Responsibilities

Build and improve ML models, including retraining and optimizing open-source models to solve Samsara-specific problems
Work with petabyte-scale data from Samsara’s cameras and diverse sensors to develop new multimodal models
Research and apply cutting-edge technologies from the latest industry and academic research
Collaborate with cross-functional teams to develop innovative AI products from scratch
Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

Python SQL Data Analysis Image Processing Machine Learning PyTorch Algorithms Data science Spark Tensorflow Data modeling

Posted about 4 hours ago

Apply

🔥 Machine Learning Engineer

Posted about 13 hours ago

📍 United States

🧭 Full-Time

💸 130000.0 - 200000.0 USD per year

🔍 Software Development

🏢 Company: Sadaora

🔧 Requirements

5+ years of experience developing, deploying, and maintaining ML models in production environments.
Proficiency in Python and common ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch, XGBoost).
Strong foundation in statistics, linear algebra, probability, and optimization.
Deep understanding of a range of ML techniques (regression, classification, clustering, NLP, deep learning).
Experience with cloud platforms such as AWS, GCP, or Azure.
Familiarity with containerization and orchestration tools (Docker, Kubernetes).
Solid understanding of software engineering principles, version control (Git), and CI/CD workflows.

💡 Responsibilities

Design, train, and evaluate machine learning models using best-in-class frameworks.
Architect scalable ML solutions and pipelines, from feature engineering to deployment.
Implement rigorous testing, validation, and monitoring processes to ensure model reliability in production.
Work closely with data engineers to shape the data architecture required for robust ML workflows.
Build efficient ETL pipelines to clean, preprocess, and transform large-scale datasets.
Partner with product managers, engineers, and business stakeholders to define ML use cases.
Collaborate with software engineers to integrate ML models into production-grade APIs and applications.
Translate complex ML concepts into business-relevant insights and recommendations.
Stay current with advancements in machine learning, AI, and related fields.
Experiment with new algorithms, architectures, and tools to continuously enhance our capabilities.
Contribute to a culture of experimentation, technical excellence, and intellectual curiosity.

AWS Docker Python ETL GCP Git Kubernetes Machine Learning MLFlow PyTorch Azure Data engineering Tensorflow CI/CD

Posted about 13 hours ago

Apply

🔥 Senior AI Engineer

Posted about 21 hours ago

📍 India

🏢 Company: YipitData👥 251-500💰 Debt Financing 10 months agoMarket Research Analytics Data Visualization

🔧 Requirements

Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
Basic understanding of machine learning algorithms and deep learning models.
Hands-on experience with Python and AI frameworks (TensorFlow, PyTorch).
Familiarity with data processing libraries like Pandas, NumPy, and the regular expression.
Understanding of model evaluation techniques and performance metrics.

💡 Responsibilities

Assist in the development, training, and fine-tuning of machine learning (ML) models.
Design and implement data pipelines for training models on large-scale datasets, ensuring clean, high-quality, and diverse training data, and providing the ability for incremental learning.
Implement and optimize deep learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Support research and development of AI applications in natural language processing (NLP) and predictive analytics.
Be familiar with Docker & Kubernetes technology, and develop stable and model-integrated API services.
Experiment with prompt engineering, few-shot learning, and fine-tuning in LLM for various business use cases.
Optimize transformer-based models, LLM for efficiency, latency, and performance using quantization, pruning, and distillation techniques.

Docker Python Data Analysis Kubernetes Machine Learning Numpy PyTorch Algorithms Data engineering Pandas Tensorflow CI/CD RESTful APIs

Posted about 21 hours ago

Apply

🔥 Senior AI Engineer

Posted 1 day ago

📍 São Paulo, Rio Grande do Sul, Rio de Janeiro, Belo Horizonte

🧭 Full-Time

🔍 Software Development

🔧 Requirements

Demonstrable experience in applied AI, with a foundation in machine learning, NLP, LLMs, and statistical analysis.
Strong understanding of the trade-offs between various generative AI models and the ability to choose the right model for specific use cases.
Experience with data embeddings and vector databases, understanding the trade-off between available options, and leveraging it to optimize data ingestion.
Experience in architecting and developing solutions that integrate generative AI with traditional software solutions with minimal to no oversight.
Experience building and testing a server-side platform for API development and orchestration.
Is proficient in the Python and Typescript language and understands the trade-offs between multiple frameworks and patterns.
Skilled in creating and adjusting prompts for complex AI systems to meet diverse project requirements.
Familiarity with testing and evaluating AI systems using state-of-the-art methods and best practices.
Hands-on experience deploying software on leading cloud platforms and utilizing AI tools like AWS Bedrock, Azure AI Services, and Vertex AI.
Strong collaboration skills and ability to work alongside developers from multiple different areas.
Ability to communicate complex AI solutions and concepts effectively to technical and non-technical stakeholders.

💡 Responsibilities

Apply your knowledge of AI systems and software engineering to develop solutions that directly address and resolve business problems.
Partner with professionals from Data Science and Data Engineering to address complex technical challenges, ensuring that the latest and most effective Data & AI techniques are being utilized.
Take ownership of implementing and optimizing applied AI components, ensuring they meet project needs with high complexity and scale.
Navigate and manipulate generative AI models, including (but not limited to) LLMs, to create prompts and solutions tailored to specific use cases.
Develop and incorporate AI solutions while adhering to industry best practices, including moderation, security, monitoring, and compliance standards.
Understand and properly apply Responsible AI concepts in all the stages of the solution.
Lead the charge in designing, measuring, and evaluating AI model outputs, developing standard and custom metrics to ensure alignment with business objectives.
Translate AI research and PoCs into production-ready features, delivering robust and scalable AI components that integrate seamlessly with larger systems.
Drive the selection and application of appropriate evaluation metrics, ensuring that AI solutions are robust, unbiased, and meet all necessary performance standards.

AWS Backend Development Docker Leadership Python SQL Artificial Intelligence Cloud Computing Data Analysis Git Kubernetes Machine Learning Numpy PyTorch Software Architecture TypeScript Algorithms API testing Data engineering Data science Data Structures REST API Serverless Pandas Tensorflow Communication Skills Analytical Skills Collaboration CI/CD Problem Solving Agile methodologies RESTful APIs Compliance JSON Data modeling Software Engineering Data management Debugging

Posted 1 day ago

Apply

🔥 Solutions Architect, Conversational AI & Prompt Engineering

Posted 1 day ago

📍 United States

🧭 Full-Time

💸 120000.0 - 200000.0 USD per year

🔍 Healthcare

🏢 Company: Qventus👥 101-250💰 $85,000,000 Series D 2 months agoArtificial Intelligence (AI)Machine Learning Hospital Analytics Health Care

🔧 Requirements

Familiarity with conversation modeling techniques, including state machines, decision trees, and graph-based models.
Experience with LLM-based conversational AI, such as GPT, Claude, Gemini, and LLaMA
Ability to use frameworks like Dialogflow, Rasa, Amazon Lex, Langchain, and others to implement conversational AI solutions.

💡 Responsibilities

Design and implement AI conversational flow logic, considering potential disruptions, multiple conversation turns, and alternate conversation paths to ensure interactions are effective and meet user and business goals.
Create and manage dialogue state, entity extraction, and intent recognition models.
Build a scalable and reusable chatbot logic system using a modular design approach

AWS Python SQL Artificial Intelligence Data Analysis GCP Machine Learning NLTK Numpy PyTorch TypeScript Algorithms Amazon Web Services API testing Data science REST API Nosql Tensorflow CI/CD Microservices JSON Data visualization CRM Data modeling NodeJS Software Engineering Data analytics Data management A/B testing

Posted 1 day ago

Apply

🔥 Senior Machine Learning Engineer, LS Embedding

Posted 1 day ago

📍 United States

🧭 Full-Time

💸 216700.0 - 303400.0 USD per year

🔍 Software Development

🏢 Company: Reddit👥 1001-5000💰 $410,000,000 Series F over 3 years ago🫂 Last layoff almost 2 years agoNews Content Social Network Social Media

🔧 Requirements

5+ years of experience in machine learning engineering, with a strong focus on recommendation systems, representation learning, and deep learning.
Hands-on experience with Graph Neural Networks (GNNs), collaborative filtering, and large-scale embeddings.
Proficiency in Python and experience with ML frameworks such as PyTorch Geometric (PyG), Deep Graph Library (DGL), TensorFlow, or JAX.
Strong understanding of graph theory, network science, and representation learning techniques.
Experience building distributed training and inference systems using ML infrastructure components (data parallelism, model pruning, inference optimization, etc.).
Ability to work in a fast-paced environment, balancing innovation with high-quality production deployment.
Strong communication skills and the ability to collaborate cross-functionally with engineers, researchers, and product teams.

💡 Responsibilities

Design and implement scalable, high-performance machine learning models using Graph Neural Networks (GNNs), transformers, and knowledge graph approaches.
Develop and optimize large-scale embedding generation pipelines for Reddit’s recommendation systems.
Collaborate with ML infrastructure teams to enable efficient distributed training (multi-GPU, model/data parallelism) and low-latency serving.
Work closely with cross-functional teams (Ads, Feed Ranking, Content Understanding) to integrate embeddings into various personalization and ranking systems.
Drive feature engineering efforts, identifying and curating expressive raw data to enhance model effectiveness.
Monitor, evaluate, and improve model performance using A/B testing, offline metrics, and real-time feedback loops.
Stay up-to-date with the latest research in GNNs, transformers, and representation learning, bringing new ideas into production.
Participate in code reviews, mentor junior engineers, and contribute to technical decision-making.

Python Data Analysis Keras Machine Learning MLFlow PyTorch Algorithms Data Structures Tensorflow A/B testing

Posted 1 day ago

Apply

🔥 Senior Data Scientist - (Remote - US)

Posted 2 days ago

📍 United States

🔍 Software Development

🏢 Company: Jobgether👥 11-50💰 $1,493,585 Seed about 2 years agoInternet

🔧 Requirements

5+ years of experience in AI, machine learning, and data science with practical deployment experience.
Strong proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, and Keras.
Extensive experience with Kubernetes and Docker for containerized AI deployments.
Familiarity with cloud environments (AWS preferred) for AI model deployment.
Expertise in SQL and standard data manipulation techniques.
Experience with anomaly detection, ideally related to financial crime patterns.
Knowledge of MLOps, including model monitoring, retraining strategies, and production pipelines.
Experience with AI testing platforms (e.g., MLflow) and C++ is a plus.
A full-stack mindset, with the ability to build, deploy, and refine AI solutions in production.
Strong customer interaction skills and the ability to translate customer needs into technical solutions.
A Ph.D. or Master’s in Computer Science, Mathematics, Statistics, or a related field is preferred but not required.

💡 Responsibilities

Develop and deploy machine learning models to detect financial crime, focusing on anomaly detection.
Enhance and optimize data pipelines, incorporating customer feedback to improve detection accuracy.
Lead AI model governance, ensuring models are interpretable, scalable, and reliable for real-world deployment.
Collaborate closely with customers and stakeholders to translate feedback into technical improvements and product enhancements.
Apply MLOps best practices to ensure smooth production-ready AI implementations.
Provide mentorship and technical guidance to junior team members while remaining hands-on with model development.
Stay updated on the latest AI trends and financial crime detection methodologies, continually evolving the platform's capabilities.

AWS Docker Python SQL Keras Kubernetes Machine Learning MLFlow PyTorch C++Data science Tensorflow

Posted 2 days ago

Apply

🔥 Team Lead Senior AI Engineer

Posted 2 days ago

📍 Poland, Romania, Ukraine

🔍 Cybersecurity

🏢 Company: Point Wild👥 101-250 Security Software

🔧 Requirements

Strong background in applied machine learning, inclusive of deep learning and natural language processing, with experience deploying AI in production.
Proficiency in Python, PyTorch/TensorFlow, and cloud-based ML deployment (AWS preferred).
Ability to translate AI capabilities into tangible product improvements that impact users.
Experience leading AI projects and mentoring engineers, with a track record of delivering AI-powered features in production.

💡 Responsibilities

Manage the execution of the AI roadmap, ensuring AI initiatives align with business objectives and drive measurable impact.
Partner with R&D teams across multiple product lines to scope, prioritize, and deliver AI-powered features and capabilities.
Serve as the single technical point of contact for AI initiatives, providing expert guidance on architecture, model selection, and deployment.
Write production-level code, submit PRs, and review team contributions—ensuring high-quality AI solutions with best practices in software engineering and MLOps.
Conduct PR reviews, uphold rigorous engineering standards, and mentor engineers to elevate AI development across the company.
Ensure AI solutions are deployable, maintainable, and optimized for real-world performance.

AWS Leadership Python SQL Artificial Intelligence Cloud Computing Machine Learning MLFlow Numpy PyTorch Algorithms Data Structures REST API Tensorflow Communication Skills Analytical Skills Problem Solving Mentoring Team management Software Engineering

Posted 2 days ago

Apply

Shown 10 out of 443

Ready to Start Your Remote Journey?

Apply to 5 jobs per day for free, or get unlimited applications with a subscription starting at €5/week.

Subscribe Now Sign Up Free

Why do Job Seekers Choose Our Platform for Remote Work Opportunities?

We’ve developed a well-thought-out service for home job matching, making the searching process easier and more efficient.

AI-powered Job Processing and Advanced Filters

Our algorithms process thousands of offers postings daily, extracting only the key information from each listing. This allows you to skip lengthy texts and focus only on the offers that match your requirements.

With powerful skill filters, you can specify your core competencies to instantly receive a selection of job opportunities that align with your experience.

Search by Country of Residence

For those looking for fully remote jobs in their own country, our platform offers the ability to customize the search based on your location. This is especially useful if you want to adhere to local laws, consider time zones, or work with employers familiar with local specifics.

If necessary, you can also work remotely with employers from other countries without being limited by geographical boundaries.

Regular Data Update

Our platform features over 40,000 remote work offers with full-time or part-time positions from 7,000 companies. This wide range ensures you can find offers that suit your preferences, whether from startups or large corporations.

We regularly verify the validity of vacancy listings and automatically remove outdated or filled positions, ensuring that you only see active and relevant opportunities.

Job Alerts

Once you register, you can set up convenient notification methods, such as receiving tailored job listings directly to your email or via Telegram. This ensures you never miss out on a great opportunity.

Our job board allows you to apply for up to 5 vacancies per day absolutely for free. If you wish to apply for more, you can choose a suitable subscription plan with weekly, monthly, or annual payments.

Wide Range of Completely Remote Online Jobs

On our platform, you'll find fully remote work positions in the following fields:

IT and Programming — software development, website creation, mobile app development, system administration, testing, and support.
Design and Creative — graphic design, UX/UI design, video content creation, animation, 3D modeling, and illustrations.
Marketing and Sales — digital marketing, SMM, contextual advertising, SEO, product management, sales, and customer service.
Education and Online Tutoring — teaching foreign languages, school and university subjects, exam preparation, training, and coaching.
Content — creating written content for websites, blogs, and social media; translation, editing, and proofreading.
Administrative Roles (Assistants, Operators) — Virtual assistants, work organization support, calendar management, and document workflow assistance.
Finance and Accounting — bookkeeping, reporting, financial consulting, and taxes.

Other careers include: online consulting, market research, project management, and technical support.

All Types of Employment

The platform offers online remote jobs with different types of work:

Full-time — the ideal choice for those who value stability and predictability;
part-time — perfect for those looking for a side home job or seeking a balance between work and personal life;
Contract — suited for professionals who want to work on projects for a set period.
Temporary — short-term work that can be either full-time or part-time. These positions are often offered for seasonal or urgent tasks;
Internship — a form of on-the-job training that allows you to gain practical experience in your chosen field.

Whether you're looking for stable full-time employment, the flexibility of freelancing, or a part-time side gig, you'll find plenty of options on Remoote.app.

Remote Working Opportunities for All Expertise Levels

We feature offers for people with all levels of expertise:

for beginners — ideal positions for those just starting their journey in internet working from home;
for intermediate specialists — if you already have experience, you can explore positions requiring specific skills and knowledge in your field;
for experts — roles for highly skilled professionals ready to tackle complex tasks.

How to Start Your Online Job Search Through Our Platform?

To begin searching for home job opportunities, follow these three steps:

Register and complete your profile. This process takes minimal time.
Specify your skills, country of residence, and the preferable position.
Receive notifications about new vacancy openings and apply to suitable ones.

If you don't have a resume yet, use our online builder. It will help you create a professional document, highlighting your key skills and achievements. The AI will automatically optimize it to match job requirements, increasing your chances of a successful response. You can update your profile information at any time: modify your skills, add new preferences, or upload an updated resume.