PyTorch Jobs

Find remote positions requiring PyTorch skills. Browse through opportunities where you can utilize your expertise and grow your career.

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🔥 Staff Machine Learning Engineer, Ads Optimization

Posted 2024-11-21

📍 United States, Canada

🧭 Full-Time

💸 230000 - 322000 USD per year

🔍 Advertising technology

7+ years of contributing high-quality code to production systems that operate at scale.
5+ years of experience building control systems, PID controllers, multi-armed bandits, reinforcement learning algorithms, or bid/pricing optimization systems.
Experience leading large engineering teams and collaborating with cross-functional partners.
Experience designing optimization algorithms in an ad serving platform and/or other marketplaces.
Significant experience in one or more general-purpose programming languages like Java, Python, Go, Scala, C++, or similar.
Familiarity with data processing frameworks like Spark, Flink, Kafka, Druid, etc.
Experience with a cloud service provider like AWS or GCP.
Knowledge of tools like Kubernetes, Drone, CircleCI, Spinnaker, Argo, Airflow, Docker, Thrift.
Experience with datastores such as ElasticSearch/Amazon OpenSearch, Redis, Postgres, Cassandra, BigQuery.
Experience with machine learning modeling frameworks like TensorFlow or PyTorch.

Building Reddit-scale optimizations to improve advertiser outcomes using cutting-edge techniques in the industry.
Leverage live auction data and model predictions to adjust campaign bids in real time.
Incorporate knowledge of the Reddit ads marketplace into budget pacing algorithms powered by control & reinforcement learning systems.
Lead the team on designing new bid & budget optimization products and algorithms as well as conducting rigorous A/B experiments to evaluate the business impact.
Actively participate and work with other leads to set the long-term direction for the team, plan and oversee engineering designs and project execution.

AWS Docker Python ElasticSearch GCP Java Kafka Kubernetes Machine Learning PyTorch C++Airflow Algorithms Cassandra Elasticsearch Go Postgres Redis Spark Tensorflow

Posted 2024-11-21

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🔥 DevOps (MLOps) Engineer

Posted 2024-11-21

📍 United States

🏢 Company: ARFA Solutions, LLC

Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field.
5+ years of experience in DevOps or MLOps roles.
Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Proficiency in programming languages such as Python, R, or Java.
Strong understanding of cloud platforms (AWS, Azure, or GCP) and their machine learning services.
Experience with containerization technologies, particularly Docker, and orchestration tools like Kubernetes.
Knowledge of CI/CD tools like Jenkins, GitLab CI/CD, or Azure DevOps.
Familiarity with data pipeline tools and frameworks, such as Apache Airflow or Kubeflow.
Strong problem-solving and analytical skills.
Excellent communication and teamwork abilities.

Design, implement, and manage MLOps pipelines for deploying and monitoring machine learning models.
Collaborate with data scientists to understand model requirements and operationalize models into production environments.
Automate model training, testing, and deployment processes through CI/CD principles.
Monitor and evaluate model performance in production and implement solutions for improvement.
Implement data versioning, model versioning, and tracking systems to ensure reproducibility.
Ensure security and compliance in the deployment of machine learning models.
Document processes and improve collaboration between teams for efficient workflows.
Stay up-to-date with industry trends and technologies in MLOps and machine learning.

AWS Docker Python Apache Airflow GCP Java Jenkins Kubeflow Kubernetes Machine Learning PyTorch Airflow Azure Data science Tensorflow Analytical Skills Collaboration CI/CD DevOps Compliance

Posted 2024-11-21

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🔥 Data Scientist

Posted 2024-11-21

📍 United States

🧭 Full-Time

🔍 Alternative investments

🏢 Company: K1X

PhD or Master’s degree in a relevant quantitative field (data science, mathematics, statistics), or equivalent experience.
6+ years of industry experience as a data scientist with a focus on NLP/NLU projects.
Demonstrated experience leading end-to-end data science project implementations.
Strong programming background in Python and a strong understanding of machine learning frameworks and libraries (e.g. scikit-learn, PyTorch, spaCy).
Excellent communication and collaboration skills, exceptional problem-solving skills.

Develop and optimize machine learning models for parsing, extracting, and categorizing data in PDF tax documents.
Collaborate with cross-functional teams to integrate machine learning solutions into our software products.
Apply statistical analysis to identify signals, trends, and insights that can inform product development.
Mentor and guide junior data scientists and team members, fostering a collaborative and innovative work environment.

Python Machine Learning PyTorch Product Development Data science Collaboration Accounting

Posted 2024-11-21

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🔥 Senior Machine Learning Engineer - Ads Retrieval

Posted 2024-11-21

📍 United States, Canada

🧭 Full-Time

💸 216700 - 303400 USD per year

🔍 Social Media/Technology

2+ years of experience with leading applied machine learning models with Tensorflow/Pytorch.
5+ years of end-to-end experience of training, evaluating, testing, and deploying machine learning models.
Proficiency with programming languages (Java, Python, Golang, C++, or similar) and statistical analysis.
Experience of orchestrating complicated data pipelines and system engineering on large-scale dataset.
Prior experience with information retrieval and recommendation system.
Ads domain knowledge on product and ML solutions is a plus.

Building ads retrieval and early ranking system for critical ML tasks with advanced industrial level techniques.
Research, implement, test, and launch new model architectures including information retrieval, ANN, recommendation system, deep neural networks.
Drive technical roadmaps and lead day to day project execution.
Contribute meaningfully to team vision and strategy.
Work on large scale data systems, backend services, and product integration.
Collaborate closely with multiple stakeholders across product, engineering, research, and marketing.
Be a mentor and cross-functional advocate for the team.

Python Java Machine Learning PyTorch C++Strategy Algorithms Golang Tensorflow

Posted 2024-11-21

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🔥 Data Scientist

Posted 2024-11-21

📍 United States

🧭 Full-Time

🔍 Cybersecurity

🏢 Company: GreyNoise Intelligence

5+ years of data science experience and/or an advanced degree in a relevant discipline (Data Science, Machine Learning, Operations Research, etc.).
Experience implementing machine learning techniques with real-world data, preferably in computer networking or cybersecurity; specifically clustering and anomaly detection.
Proficiency with machine learning frameworks and libraries such as PyTorch, scikit-learn, and numpy.
Experience with natural language processing (NLP) techniques and working with LLMs.
Strong programming skills in Python and familiarity with statistical analysis.
Experience in data visualization with a variety of tools and working with front-end developers to bring visualizations to production.
Familiarity with database and big data technologies (Elasticsearch, SQL, Snowflake, etc.).
Knowledge of cloud-based hosting and ML services, particularly AWS.
Understanding of containerization and deployment technologies like Docker and Kubernetes.
Ability to communicate technical concepts effectively, both to teammates and external audiences.
Excellent problem-solving skills and adaptability in a dynamic environment.

Develop and deploy machine learning models for real-time anomaly detection and threat identification.
Automate the discovery of interesting and anomalous data from our global honeypot network.
Research and implement new LLM technologies to help read and understand complex internet traffic patterns.
Integrate new visualizations and statistical models into our product to enhance user experience and data interpretation.
Ensure data quality by collaborating with infrastructure engineers to develop tests and alerts for detecting defects and determining their origin.
Optimize data pipelines in collaboration with data engineers for efficient data processing.
Interface directly with customers to capture analytical requests and translate them into actionable engineering requirements.
Present findings through social media, blogs, and conferences to engage with the broader community.
Stay current with the latest AI/ML research and cybersecurity trends to continuously improve our solutions.
Monitor and tune ML models in production environments to ensure scalability and reliability.

AWS Docker Python SQL ElasticSearch Kubernetes Machine Learning Numpy PyTorch Snowflake Product Development Data science Elasticsearch Collaboration Documentation

Posted 2024-11-21

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🔥 Associate Lead - Data & AI

Posted 2024-11-21

📍 India

🧭 Full-Time

🔍 Data & AI

🏢 Company: ProArch

Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).
8+ years of experience in AI, Data Engineering, and full-stack development.
Ability to work with ambiguity and deliver consultative solutions.
Familiarity with Agile methodologies (Scrum, Kanban).
Excellent communication and interpersonal skills.

Build and maintain a list of innovative ideas and evaluate them for feasibility.
Partner with presales teams to create tailored solutions for clients.
Provide technical expertise to resolve delivery challenges.
Conduct workshops to educate sales and marketing teams.
Share insights from sales calls with solution teams.

AWS Docker GraphQL Leadership Node.js PostgreSQL Python SQL Agile Blockchain Django Flask GCP IoT Java Jenkins Kafka Kubernetes Machine Learning MongoDB PyTorch SCRUM Snowflake Spring Spring Boot Vue.Js Azure Data engineering .NET Angular Serverless React Spark Tensorflow Vue.js CI/CD Agile methodologies DevOps Microservices

Posted 2024-11-21

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🔥 AI Architect (m/f/d)

Posted 2024-11-21

📍 EU

🔍 E-pharmacy

5+ years of experience in AI, machine learning, and AI system architecture, with a proven track record of deploying ML & AI solutions in production environments.
Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, Keras.
Expertise in building scalable and efficient AI architectures.
Experience with containerization tools such as Docker, Kubernetes, and CI/CD practices.
Experience with model evaluation, hyperparameter tuning, and performance monitoring.
Hands-on experience with monitoring, observability, and performance tracking tools for AI/ML applications.

Work closely with product & program managers, data scientists, and engineers to understand business needs and translate them into AI architecture & solutions.
Lead the design of AI systems and architectures, ensuring they are scalable, efficient, and aligned with business objectives.
Develop and implement end-to-end AI solutions, from data collection and preprocessing to model deployment and continuous improvement.
Drive the development of generative AI solutions using commercially available LLM services.
Explore new AI technologies and algorithms to enhance AI systems.
Lead the deployment of machine learning models in production environments using Docker, Kubernetes, and cloud platforms.
Provide technical leadership and mentorship to junior AI engineers.

AWS Docker Leadership Python GCP Keras Kubernetes Machine Learning PyTorch Algorithms Azure Tensorflow CI/CD DevOps Microservices

Posted 2024-11-21

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🔥 Sr. AI/ML Infrastructure Engineer

Posted 2024-11-21

📍 United States

🔍 Mental health care technology

5+ years of industry experience building production-level ML platforms and infrastructure.
Ability to write high-quality code in Python, Java, or Scala.
Experience building production-ready RESTful APIs and scaling platforms for large user bases.
Desire to own parts of an ML Platform with understanding of ML models and principles.
Experience with containers and deploying applications to Kubernetes.
Familiarity with LLMs and building infrastructure for LLM applications.
Experience with relational and low-latency databases.
Experience in transforming data in batch and streaming contexts.
Ability to manage large projects from scoping to delivery.
Strong communication and organizational skills, with the ability to simplify complex problems.

Be part of a team building scalable infrastructure for training, evaluating, deploying, performing inference, and monitoring ML models.
Build, deploy, and maintain generative AI services and applications.
Create data systems to collect, clean, label, and store data used for model features.
Deploy and manage applications in Kubernetes clusters.
Collaborate with Machine Learning engineers to support experimentation platforms and training frameworks.
Work with stakeholders to address requirements for ML infrastructure.

AWS Python Java Kubeflow Kubernetes Machine Learning MLFlow PyTorch Communication Skills RESTful APIs Organizational skills

Posted 2024-11-21

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🔥 Senior Software Engineer II, ML Core (Remote)

Posted 2024-11-20

📍 US, UK

🧭 Full-Time

💸 185000 - 200000 USD per year

🔍 Music technology

🏢 Company: Splice

Experience with Elasticsearch, optimizing data representations, queries, and clusters.
Relevant work experience building and evolving production software using Go and Python.
Experience deploying and managing ML models in production environments.
Several years working with RDBMS such as MySQL or PostgreSQL and crafting performant SQL queries.
Experience leveraging SaaS and cloud provider primitives effectively.
Strong customer experience focus and willingness to engage in build-versus-buy discussions.
Proficiency in writing, deploying, evolving, and deleting code.
Excellent communication skills with both technical and non-technical audiences.

Define the architecture and drive implementation changes across multiple backend services that power Splice’s products.
Translate large-scale architectural changes into manageable outcomes that benefit customers.
Optimize search infrastructure and create mechanisms for safe and rapid ML model production.
Advocate for system designs and APIs that prioritize customer needs.
Deliver complex projects spanning multiple domains and teams.
Identify areas for team improvement and propose solutions.
Provide mentorship and constructive feedback for engineering practices.
Manage cross-team commitments and track progress related to the delivery roadmap.

AWS Docker GraphQL PostgreSQL Python SQL ElasticSearch Jenkins Keras MySQL PyTorch TypeScript Data engineering Elasticsearch Go gRPC RDBMS Redis Tensorflow Collaboration Terraform

Posted 2024-11-20

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🔥 AI Research Engineer

Posted 2024-11-20

📍 US

💸 180000 - 220000 USD per year

🔍 Life Sciences

🏢 Company: PicnicHealth

Ph.D. degree in Computer Science or a related technical field.
Published research in the domain of LLMs.
Hands-on experience building models in PyTorch.
Solid understanding of the latest AI/ML research trends and techniques.
5 years of experience writing production code in Python.
Hands-on experience building RAG applications.
Experience deploying ML models in the cloud.
Familiarity with cloud deployments using Terraform, Kubernetes, etc.

Propel the performance of LLM tailored for medical records through cutting edge research and development initiatives.
Develop advanced methods for understanding and evaluating the capabilities and limitations of the LLM.
Survey and incorporate recent advances in AI/ML research into core capabilities.
Share insights and breakthroughs through academic publications, blog posts, and other mediums.
Help expand the AI team by attracting, interviewing, and onboarding future team members.

Python Kubernetes Machine Learning PyTorch Terraform

Posted 2024-11-20

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