PyTorch Jobs

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🔥 Applied AI Engineer

Posted about 15 hours ago

📍 United States

🧭 Full-Time

💸 160000.0 - 264000.0 USD per year

🔍 Creative Operations

🏢 Company: Air👥 51-100💰 $10,000,000 almost 3 years agoProductivity Tools Digital Media Content Collaboration Cloud Storage

🔧 Requirements

6+ years working in a production application with real-world users.
3+ years in an applied AI/ML supporting role.
Experience collaborating with cross-functional teams and providing technical leadership.
Ability to research, architect, deploy, and maintain complex AI/ML systems at scale.
Deep experience with semantic and vector search techniques leveraging search engines like Elasticsearch, Lucene, Solr.
Proven track record in evaluating and implementing AI solutions.
Strong background in Python for ML development, deep learning frameworks (PyTorch, TensorFlow), and advanced ML Ops (Docker/Kubernetes, AWS SageMaker, MLflow).
Familiarity with vector databases (Pinecone, Weaviate), open-source AI providers (OpenAI, AWS Bedrock), large-scale data pipelines (Airflow, Kafka, Spark), cloud platforms (AWS, GCP, Azure), and distributed systems.

💡 Responsibilities

Help shape the future of creative work as the first Applied AI Engineer.
Play a pivotal role in building intelligent systems that power the platform.
Deliver cutting-edge search and discovery capabilities to teams worldwide.
Work closely with engineers, cofounders, marketing, and cross-functional teams.
Lead initiatives that research, architect, deploy AI/ML systems, and level up engineering teams.

AWS Docker Python ElasticSearch Kubernetes Machine Learning MLFlow PyTorch Tensorflow CI/CD

Posted about 15 hours ago

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🔥 Sales Engineer – Cloud Data Warehouse, Data Engineering & AI - US Based - Remote

Posted about 18 hours ago

📍 US

🧭 Full-Time

🔍 B2B software and professional services

🔧 Requirements

Strong experience with cloud data platforms such as Databricks, Snowflake, or others.
In-depth knowledge of data engineering concepts including data pipelines and ETL/ELT processes.
Proven experience with AI/ML technologies including model development and integration.
Familiarity with data integration tools and real-time data processing.
Experience with cloud environments such as AWS, Azure, Google Cloud.
Proven ability to engage with senior stakeholders and demonstrate business acumen.
Experience in sales engineering or a similar technical sales role.
Strong communication, presentation, and interpersonal skills.
Customer-focused mindset with the ability to articulate technical solutions.
Bachelor’s degree in a related field or equivalent practical experience.
Hands-on experience with cloud data platforms and AI/ML tools is highly desirable.

💡 Responsibilities

Collaborate with the sales team to understand customer requirements and design scalable cloud data architectures.
Present tailored product demonstrations, POCs, and architectural walkthroughs.
Develop and deliver high-impact technical presentations on data engineering best practices.
Assist with RFP/RFI responses by crafting technical solutions.
Facilitate data strategy workshops and build scopes of work.
Advise clients on data engineering workflows and AI/ML integration.
Act as a trusted advisor to customers on data and AI challenges.
Develop ongoing relationships and provide guidance on data infrastructure.
Partner with other teams for smooth implementation.
Train and mentor internal sales teams on industry advancements.
Stay updated on trends and share knowledge.

AWS Cloud Computing ETL GCP Machine Learning PyTorch Snowflake Azure Data engineering Tensorflow

Posted about 18 hours ago

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🔥 Senior Software Engineer, Gen AI

Posted about 19 hours ago

📍 United States

💸 116645.0 - 157476.0 USD per year

🔍 Artificial Intelligence / Health and Wellness

🏢 Company: Headspace👥 11-50 Wellness Health Care Child Care

🔧 Requirements

Bachelor’s or advanced degree in Computer Science, Engineering, or a related technical field.
3+ years of software engineering experience with a focus on AI/ML systems.
Proficiency in machine learning frameworks such as TensorFlow and PyTorch.
Familiarity with database management and querying (SQL, MongoDB, etc.).
Strong experience with AWS and IaC tools like Terraform.
Solid understanding of ML infrastructure including data pipelines and model serving.
Demonstrated ability to deliver impactful AI solutions in production environments.
Experience implementing AI/ML best practices like CI/CD and monitoring.
Strong problem-solving skills and effective communication skills for technical concepts.

💡 Responsibilities

Lead the design, training, and optimization of large-scale generative AI models.
Own the lifecycle of generative AI initiatives from ideation to deployment.
Build and enhance the generative AI platform using AWS and modern development tools.
Ensure the scalability and reliability of generative AI systems with robust CI/CD pipelines.
Collaborate with data scientists, engineers, and product teams to integrate AI capabilities.
Guide and mentor team members to foster technical excellence.

AWS Python SQL Machine Learning MongoDB PyTorch Tensorflow CI/CD Terraform

Posted about 19 hours ago

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🔥 Data Scientist

Posted 1 day ago

📍 Armenia, Moldova, Kyrgyzstan, Tajikistan, Uzbekistan

🔍 Web browser development

🏢 Company: SELIUK LTD

🔧 Requirements

1-2+ years of experience in data science or machine learning.
Deep theoretical understanding of modern machine learning architectures, especially transformers and neural networks.
Proven experience in developing and implementing machine learning models in production environments.
Experience in mathematical modeling and optimization.
Master's degree in applied mathematics, computer science, or physics.
English language proficiency at B1+ level.

💡 Responsibilities

Solve applied business tasks related to product development and improvement of user experience.
Participate in the creation of innovative solutions in a large, multidisciplinary project using technologies such as computer vision, ML Ops, and LLM.
Contribute to the development of creative and complex tools aimed at achieving the company's strategic goals.

Python Data Analysis Machine Learning PyTorch Data science Tensorflow

Posted 1 day ago

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🔥 Senior ML Engineer, Applied Machine Learning

Posted 3 days ago

📍 USA

🧭 Full-Time

💸 175000.0 - 225000.0 USD per year

🔍 Technology, healthcare, cyber, national security

🔧 Requirements

Proven experience in developing, optimizing, and deploying ML systems in production environments.
Strong background in building and managing end-to-end training pipelines for ML models.
Extensive knowledge and hands-on experience in fine-tuning large language models.
Proficiency in ML frameworks such as TensorFlow, PyTorch, or similar tools.
Proficient in Python for efficient, clean, and maintainable code.
Ability to clearly communicate complex ML concepts to various audiences.
Bachelor's or Master's degree in relevant fields like Machine Learning, Computer Science, or Data Engineering.

💡 Responsibilities

Develop and deploy robust ML models for real-world applications.
Design and implement scalable pipelines to train and retrain ML models.
Continuously fine-tune large language models to meet enterprise needs.
Create feedback loops to iteratively improve ML model effectiveness.
Collaborate with product and business teams to translate requirements into ML solutions.
Stay current with ML advancements and apply insights to ML infrastructure.
Guide and mentor junior team members in technical skills.
Communicate ML methodologies and insights to non-technical stakeholders.

Python Machine Learning PyTorch Tensorflow

Posted 3 days ago

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🔥 Senior ML Researcher, Applied Machine Learning

Posted 3 days ago

📍 USA

💸 175000.0 - 225000.0 USD per year

🔍 Technology, Machine Learning, AI

🔧 Requirements

Proven experience with ML research, including novel training methodologies and model architectures.
Demonstrated proficiency in customizing language models such as GPT, BERT, or similar frameworks.
Strong understanding of ML and NLP frameworks like TensorFlow, PyTorch, with custom model architecture implementation skills.
Proficiency in Python focusing on writing efficient, maintainable, scalable code.
Ability to present complex technical concepts effectively to various stakeholders.
A Master's or PhD in Computer Science, Machine Learning, or a related field.

💡 Responsibilities

Lead ML Research and Development, focusing on solving real-world business problems through advanced ML techniques.
Architect novel training and fine-tuning methodologies for Language Models (LLMs).
Evaluate model performance and innovate techniques for enhancing model effectiveness.
Design feedback systems for continuous learning to improve model performance over time.
Engage in cross-functional collaboration with product teams to align research with business needs.
Monitor the latest advancements in ML and NLP, integrating them into development.
Mentor and guide junior researchers in a culture of continuous learning.

Python Machine Learning PyTorch Algorithms Data Structures Tensorflow

Posted 3 days ago

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🔥 Data/Machine Learning Infrastructure Engineer

Posted 3 days ago

📍 USA, Canada

💸 200000.0 - 225000.0 USD per year

🔍 Telecom

🏢 Company: Tucows Inc.

🔧 Requirements

3+ years in AI/ML deployment, solution engineering, or similar roles.
Proficiency with Apache Kafka for managing and scaling event-stream pipelines.
Familiarity with LangChain, TensorFlow, PyTorch, and cloud platforms like AWS, Azure, and Google Cloud.
Experience with RESTful APIs, microservices, and container technologies like Docker and Kubernetes.
Strong data engineering practices and experience in handling unstructured data.

💡 Responsibilities

Deploy AI and machine learning models to drive insights from telecom event streams.
Develop and maintain Kafka pipelines for real-time data processing.
Manage and optimize model training, tuning, and retraining workflows.
Collaborate with data engineers and product teams on data needs and model integration.
Implement monitoring solutions for model performance and resolve issues proactively.
Document processes, configurations, and best practices for knowledge sharing.

AWS Docker Kubernetes Machine Learning PyTorch Apache Kafka Azure Data engineering Tensorflow CI/CD RESTful APIs Microservices

Posted 3 days ago

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🔥 Engineering Manager - Ads Engagement Modeling

Posted 3 days ago

📍 United States, Canada

🧭 Full-Time

💸 230000.0 - 322000.0 USD per year

🔍 Social Media, Technology

🔧 Requirements

2+ years of management experience leading ML-focused teams.
6+ years of experience working with machine learning models at scale.
4+ years of hands-on experience with TensorFlow or PyTorch.
Proven ability in training, evaluating, and deploying large-scale models.
Experience with Ads or Engagement Modeling is a plus.

💡 Responsibilities

Define and execute a roadmap for engagement modeling.
Oversee the model development lifecycle from ideation to deployment.
Recruit, mentor, and retain top ML talent.
Collaborate with PMs, data scientists, and engineering teams.
Implement and optimize model architectures using advanced ML techniques.

Leadership Data Analysis Machine Learning PyTorch Tensorflow

Posted 3 days ago

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🔥 Machine Learning Engineer for Audio - EMEA Remote

Posted 4 days ago

📍 France

🔍 Machine Learning / Artificial Intelligence

🏢 Company: Hugging Face👥 51-200💰 $235,000,000 Series D over 1 year agoSoftware Development

🔧 Requirements

Love for open-source and a passion for new technologies in text-to-speech and speech-to-text.
Industry experience in speech recognition, speaker diarization, dialogue systems, or text-to-speech is considered a plus.
Encouraged applications from candidates who may not meet every requirement, valuing diverse backgrounds and experiences.

💡 Responsibilities

Making cutting-edge speech-to-text and text-to-speech technologies more accessible to the open-source community.
Working in existing open-source libraries, such as Transformers, to boost support for robust speech-related technologies.
Leading the creation of novel open-source libraries for machine learning in audio.
Fostering an active machine learning community and assisting users in contributing to and utilizing the developed tools.
Interacting with researchers, ML practitioners, and data scientists on platforms like GitHub, Discord, forums, or Slack.

Python Machine Learning PyTorch Tensorflow

Posted 4 days ago

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🔥 Junior CV/ML Engineer (Remote, Global)

Posted 4 days ago

📍 United States

🧭 Contract

🔍 Biometrics

🏢 Company: Keyo👥 11-50💰 $7,000,000 Seed about 2 years agoSensor Internet of Things Identity Management Software

🔧 Requirements

Proficiency in Python programming.
Foundational understanding of machine learning and computer vision concepts.
Experience with deep learning frameworks like PyTorch or TensorFlow.
Basic knowledge of RESTful API development, preferably using Flask.
Familiarity with Docker for application containerization.
Understanding of Git for version control.
Experience working with relational databases, preferably PostgreSQL.

💡 Responsibilities

Support the team in troubleshooting and optimizing ML pipelines for scalability and efficiency.
Review and label biometric data, analyze the issues and work on fixing them.
Collaborate with the team to develop and deploy machine learning models and computer vision algorithms for biometric authentication.
Assist in building and maintaining RESTful APIs using Flask.
Contribute to Dockerizing applications and managing containerized deployments.
Work with PostgreSQL databases to store and retrieve data efficiently.
Utilize Git for version control and collaborate on codebases within a team.
Experiment with deep learning frameworks like PyTorch to enhance model performance.

Docker PostgreSQL Python Flask Git Machine Learning PyTorch

Posted 4 days ago

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