PyTorch Job Salaries

Find salary information for remote positions requiring PyTorch skills. Make data-driven decisions about your career path.

PyTorch

Median high-range salary for jobs requiring PyTorch:

$212,800

This analysis is based on salary ranges collected from 69 job descriptions that match the search and allow working remotely. Choose a country to narrow down the search and view statistics exclusively for remote jobs available in that location.

The Median Salary Range is $170,000 - $212,800

  • 25% of job descriptions advertised a maximum salary above $240,000.
  • 5% of job descriptions advertised a maximum salary above $315,350.

Skills and Salary

Specific skills can have a substantial impact on salary ranges for jobs that align with these search preferences. Certain in-demand skills are highly valued by employers and can significantly boost compensation. These skills often reflect the unique requirements and challenges faced by professionals in these roles. Some of the most sought-after skills that correlate with higher salaries include Algorithms, AWS and Numpy. Mastering these skills can demonstrate expertise and make individuals more competitive in the job market. Employers often prioritize candidates who possess these skills, as they can contribute directly to the organization's success. The ability to effectively utilize these skills can lead to increased earning potential and career advancement opportunities.

  1. Algorithms

    35% jobs mention Algorithms as a required skill. The Median Salary Range for these jobs is $170,000 - $230,000

    • 25% of job descriptions advertised a maximum salary above $250,000.
    • 5% of job descriptions advertised a maximum salary above $334,930.
  2. AWS

    36% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $180,000 - $218,000

    • 25% of job descriptions advertised a maximum salary above $260,000.
    • 5% of job descriptions advertised a maximum salary above $332,775.
  3. Numpy

    28% jobs mention Numpy as a required skill. The Median Salary Range for these jobs is $175,000 - $215,000

    • 25% of job descriptions advertised a maximum salary above $243,750.
    • 5% of job descriptions advertised a maximum salary above $250,000.
  4. Machine Learning

    91% jobs mention Machine Learning as a required skill. The Median Salary Range for these jobs is $170,000 - $212,800

    • 25% of job descriptions advertised a maximum salary above $243,750.
    • 5% of job descriptions advertised a maximum salary above $317,450.
  5. Python

    91% jobs mention Python as a required skill. The Median Salary Range for these jobs is $165,000 - $210,000

    • 25% of job descriptions advertised a maximum salary above $233,750.
    • 5% of job descriptions advertised a maximum salary above $307,460.
  6. Collaboration

    35% jobs mention Collaboration as a required skill. The Median Salary Range for these jobs is $170,000 - $208,000

    • 25% of job descriptions advertised a maximum salary above $225,000.
    • 5% of job descriptions advertised a maximum salary above $301,020.
  7. Tensorflow

    77% jobs mention Tensorflow as a required skill. The Median Salary Range for these jobs is $165,000 - $206,000

    • 25% of job descriptions advertised a maximum salary above $240,000.
    • 5% of job descriptions advertised a maximum salary above $319,210.
  8. Docker

    23% jobs mention Docker as a required skill. The Median Salary Range for these jobs is $164,460 - $203,000

    • 25% of job descriptions advertised a maximum salary above $230,000.
    • 5% of job descriptions advertised a maximum salary above $352,170.
  9. SQL

    29% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $165,000 - $200,000

    • 25% of job descriptions advertised a maximum salary above $225,000.
    • 5% of job descriptions advertised a maximum salary above $275,000.

Industries and Salary

Industry plays a crucial role in determining salary ranges for jobs that align with these search preferences. Certain industries offer significantly higher compensation packages compared to others. Some in-demand industries known for their competitive salaries in these roles include Artificial Intelligence, 3D technology, Mixed-reality experiences and technology-led companies in healthcare, cyber, and national security. These industries often have a strong demand for skilled professionals and are willing to invest in talent to meet their growth objectives. Factors such as industry size, profitability, and market trends can influence salary levels within these sectors. It's important to consider industry-specific factors when evaluating potential career paths and salary expectations.

  1. Artificial Intelligence

    3% jobs are in Artificial Intelligence industry. The Median Salary Range for these jobs is $180,000 - $250,000

  2. 3D technology, Mixed-reality experiences

    1% jobs are in 3D technology, Mixed-reality experiences industry. The Median Salary Range for these jobs is $180,000 - $250,000

  3. technology-led companies in healthcare, cyber, and national security

    3% jobs are in technology-led companies in healthcare, cyber, and national security industry. The Median Salary Range for these jobs is $175,000 - $225,000

  4. Healthcare

    4% jobs are in Healthcare industry. The Median Salary Range for these jobs is $180,000 - $220,000

    • 25% of job descriptions advertised a maximum salary above $223,750.
    • 5% of job descriptions advertised a maximum salary above $225,000.
  5. Autonomous vehicle technology

    3% jobs are in Autonomous vehicle technology industry. The Median Salary Range for these jobs is $177,300 - $212,800

  6. Legal Services

    6% jobs are in Legal Services industry. The Median Salary Range for these jobs is $135,000 - $199,000

  7. Cybersecurity

    7% jobs are in Cybersecurity industry. The Median Salary Range for these jobs is $145,000 - $195,000

    • 25% of job descriptions advertised a maximum salary above $208,750.
    • 5% of job descriptions advertised a maximum salary above $235,000.
  8. Healthcare technology

    3% jobs are in Healthcare technology industry. The Median Salary Range for these jobs is $139,000 - $195,000

    • 25% of job descriptions advertised a maximum salary above $230,000.
  9. AI cloud infrastructure

    1% jobs are in AI cloud infrastructure industry. The Median Salary Range for these jobs is $115,000 - $180,000

  10. Digital creative agency

    3% jobs are in Digital creative agency industry. The Median Salary Range for these jobs is $130,000 - $165,000

    • 25% of job descriptions advertised a maximum salary above $180,000.

Disclaimer: This analysis is based on salary ranges advertised in job descriptions found on Remoote.app. While it provides valuable insights into potential compensation, it's important to understand that advertised salary ranges may not always reflect the actual salaries paid to employees. Furthermore, not all companies disclose salary ranges, which can impact the accuracy of this analysis. Several factors can influence the final compensation package, including:

  • Negotiation: Salary ranges often serve as a starting point for negotiation. Your experience, skills, and qualifications can influence the final offer you receive.
  • Benefits: Salaries are just one component of total compensation. Some companies may offer competitive benefits packages that include health insurance, paid time off, retirement plans, and other perks. The value of these benefits can significantly affect your overall compensation.
  • Cost of Living: The cost of living in a particular location can impact salary expectations. Some areas may require higher salaries to maintain a similar standard of living compared to others.

Jobs

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πŸ“ Brazil

πŸ’Έ 4541.67 - 5000.0 USD per month

πŸ” Cloud-based data transformation and predictive analytics

🏒 Company: Blue Orange DigitalπŸ‘₯ 101-250πŸ’° $699,999 Corporate over 2 years agoCloud Data ServicesArtificial Intelligence (AI)Big DataPredictive AnalyticsData IntegrationMachine LearningAnalyticsData VisualizationSoftware

  • 1-3 years of experience in ML/AI data engineering.
  • Degree in Computer Science, Engineering, Mathematics, or a related field.
  • Strong mathematical skills in statistics and linear algebra.
  • Experience with NLP and LLM technologies.
  • Proficiency in programming languages such as Python.
  • Experience with AWS, GCP, or Azure cloud-based technologies.

  • Design, build, and deploy advanced machine learning models.
  • Improve model performance through feature engineering, hyperparameter search, and metric selection.
  • Analyze large datasets to extract actionable insights.
  • Develop and maintain cloud-native ML solutions using AWS, GCP, or Azure.
  • Implement MLOps practices for efficient model deployment.
  • Ensure quality through rigorous testing and validation.

AWSDockerPythonGCPMachine LearningMLFlowPyTorchAzureFastAPITensorflow

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πŸ“ Cambridge, Massachusetts, US

🧭 Full-Time

πŸ’Έ 88000.0 - 131000.0 USD per year

πŸ” AgTech

🏒 Company: Sensei AgπŸ‘₯ 51-100Information Technology

  • 3+ years of experience in the commercial space or other demonstration of ability solving real-world computer vision problems.
  • MS in data science or related field.
  • Ability to independently source data, formulate problems and test solutions in the modeling and optimization domain.
  • Proficiency with utilizing and deploying machine learning models.
  • Expertise in Python, including work with data science libraries such as Numpy, Pandas, scikit-image.
  • Experience with reviewing literature and summarizing learnings.
  • Broad experience with multiple computer vision libraries in Python.
  • Expertise with extracting data via query languages and from object storage buckets.
  • Excellent verbal and visual communication skills, specifically with an aptitude for conveying data insights visually.
  • Ability to work with teams across the organization to understand challenges and data sources.
  • Ability to work with data and software engineers to support maintenance of robust data sources and to develop infrastructure for routine use of models.

  • Work closely with stakeholders across the organization to understand where data can be used to optimize systems or gain new knowledge.
  • Maintain current knowledge of data science methodologies and advise on which is most appropriate to a given need or knowledge gap.
  • Develop novel machine learning approaches.
  • Perform literature reviews and assessments of the current state of technology for different applications.
  • Work with data engineers to encode algorithms into robust pipelines for routine use.
  • Prototype tools to display and communicate with data.
  • Work with data engineers to develop systems for routine training, testing and deployment of models.
  • Brainstorm novel insights and new ways to leverage data.

PythonMachine LearningMLFlowNumpyOpenCVPyTorchPandasTensorflow

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πŸ“ California, Colorado, Idaho, Illinois, Georgia, Missouri, Nevada, New Jersey, New York, Oregon, Rhode Island, Texas, Utah, Washington, Canada

🧭 Full-Time

πŸ’Έ 225000.0 - 315000.0 USD per year

πŸ” Mobile industry

  • 10+ years of industry experience in Machine Learning, Software Engineering and/or Infrastructure
  • 5+ years of industry experience applying Machine Learning to large scale problems
  • Very strong coding ability
  • Good team communication and collaboration skills
  • B.S. or higher in Computer Science (PhD is a plus)

  • Build state-of-the-art deep learning models to make accurate bidding decisions in millions of auctions per second
  • Work with an experienced team of ML, Software, and Infrastructure Engineers
  • Design, engineer & implement reliable, scalable, and cost-efficient systems
  • Achieve core business objectives by enabling next generation ML models and technologies
  • Utilize vendor-based products (AWS, Weights & Biases, etc.), open source technologies (PyTorch, PySpark, etc.), and in-house tooling

AWSMachine LearningPyTorchSoftware Engineering

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πŸ“ Bellevue, WA; El Segundo, CA; New York, NY

🧭 Full-Time

πŸ’Έ 250000.0 - 300000.0 USD per year

πŸ” Ad measurement

🏒 Company: iSpot.tvπŸ‘₯ 251-500πŸ’° $325,000,000 Private over 2 years agoDigital MarketingAdvertisingReal TimeTest and MeasurementMarket ResearchBrand MarketingAnalyticsMarketingInformation TechnologySoftware

  • Master’s or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related field.
  • 15+ years of experience in data science or analytics, with at least 5 years in an executive leadership role.
  • Demonstrated success in building and leading high-performing data science teams.
  • Proven track record of applying data science to drive business value.
  • Strong understanding of machine learning, AI, and statistical modeling techniques.
  • Excellent communication, leadership, and collaboration skills.

  • Develop and implement a comprehensive data science strategy aligned with the company’s vision and goals.
  • Serve as a key thought leader in the application of AI, machine learning, and advanced analytics for ad measurement.
  • Collaborate with executive leadership to integrate data science into corporate strategy.
  • Lead, mentor, and scale a multidisciplinary team.
  • Oversee data science projects ensuring quality outcomes, best practices, and data governance.
  • Partner with cross-functional teams to drive data-driven initiatives.
  • Lead the development of innovative measurement methodologies and stay updated on emerging technologies.

AWSPythonSQLArtificial IntelligenceGCPMachine LearningPyTorchData scienceTensorflow

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πŸ“ USA

πŸ’Έ 115000.0 - 180000.0 USD per year

πŸ” AI cloud infrastructure

  • 5+ years of experience as a cloud solutions architect, system/network engineer, developer, or similar technical role, focused on cloud computing.
  • Strong hands-on experience with Infrastructure as Code (IaC) and configuration management tools, preferably Terraform/Ansible.
  • Proficient in Kubernetes and coding skills in Python.
  • Solid understanding of GPU computing practices for ML training and inference workloads.
  • Familiarity with GPU software stack components, including drivers and libraries like CUDA and OpenCL.
  • Excellent communication skills and a customer-centric mindset.
  • Fluent in English.

  • Act as a trusted advisor to clients, providing technical expertise and guidance.
  • Conduct Proof of Concepts, workshops, presentations, and training sessions on GPU cloud technologies.
  • Collaborate with clients to understand their business needs and develop solution architectures.
  • Design and document Infrastructure as code solutions.
  • Help optimize pipeline performance and scalability for efficient cloud resource utilization.
  • Act as a single point of expertise for product, technical support, and marketing teams.

PythonCloud ComputingKubeflowKubernetesMachine LearningPyTorchTensorflowTerraformAnsible

Posted 7 days ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 104800.0 - 158400.0 USD per year

πŸ” Insurance and Technology

🏒 Company: Coalition, Inc.

  • 3+ years in a similar role, ideally with experience in managing and deploying machine learning platforms or AI infrastructure on AWS.
  • Hands-on experience with ML platform tools such as MLflow, SageMaker, or equivalent frameworks.
  • Strong understanding of large language models (LLMs) and generative AI, including architecture, fine-tuning, and deployment.
  • Strong programming skills in Python with a focus on scalable ML systems.
  • Experience with cloud platforms like AWS and infrastructure as code using Terraform.
  • Comfortable in ambiguous problem spaces, able to drive projects with minimal oversight.
  • Exceptional written and oral communication skills with diverse audiences.

  • Drive and execute machine learning projects/products end-to-end: from ideation, analysis, prototyping, development, metrics, and monitoring.
  • Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation.
  • Develop platforms to host ML/AI models for efficient servicing.
  • Explore and integrate new AI tools to support machine learning scientists.
  • Incorporate recent AI/ML research advances to drive future decision-making.
  • Communicate insights and foster a culture of data excellence.

AWSPythonKerasMachine LearningMLFlowPyTorchTensorflowTerraform

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πŸ“ Utah

πŸ’Έ 135000.0 - 199000.0 USD per year

πŸ” Legal services

🏒 Company: Rocket LawyerπŸ‘₯ 251-500πŸ’° $223,000,000 Debt Financing over 3 years agoLegal TechLaw EnforcementLegal

  • 5+ years of experience writing ML code for launched products.
  • Understanding of the state of the art in generative AI, including RAG, LoRA, RLHF, and others.
  • Experience creating data sets from proprietary anonymized data for training ML models.
  • Experience with machine learning frameworks like TensorFlow, PyTorch, and Scikit-Learn.
  • Strong programming skills in Python and SQL.
  • BS, MS, or PhD in Computer Science, Mathematics, Statistics, or related fields, or equivalent experience.

  • Build, train, fine-tune, deploy, and maintain ML models for AI features.
  • Create, monitor, and troubleshoot backend API services for product frontends to interact with ML models.
  • Work closely with multiple product teams and cross-functional teammates.
  • Rapidly prototype product features to explore new AI capabilities.

PythonSQLMachine LearningPyTorchTensorflow

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πŸ“ North Carolina

🧭 Full-Time

πŸ’Έ 135000.0 - 199000.0 USD per year

πŸ” Legal services

🏒 Company: Rocket LawyerπŸ‘₯ 251-500πŸ’° $223,000,000 Debt Financing over 3 years agoLegal TechLaw EnforcementLegal

  • 5+ years of experience writing ML code for launched products.
  • Understanding of the state of the art in generative AI, including RAG, LoRA, RLHF and others.
  • Experience creating data sets from proprietary anonymized data, and using them to train and fine-tune ML models.
  • Experience with machine learning frameworks like TensorFlow, PyTorch and Scikit-Learn.
  • Strong programming skills in Python and SQL.
  • BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields, or related work experience.

  • Build, train, fine-tune, deploy and maintain ML models for AI features.
  • Create, monitor and troubleshoot backend API services to allow Rocket Lawyer product frontends to interact with ML models.
  • Work closely with multiple product teams and cross-functional teammates to quickly integrate AI into existing and new Rocket Lawyer products.
  • Keep up-to-date with industry trends around generative AI and machine learning.
  • Rapidly prototype product features to explore new AI capabilities, while writing clean, understandable code.

PythonSQLMachine LearningPyTorchData engineeringTensorflow

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πŸ“ Colorado

πŸ’Έ 145000.0 - 199000.0 USD per year

πŸ” Legal services

🏒 Company: Rocket LawyerπŸ‘₯ 251-500πŸ’° $223,000,000 Debt Financing over 3 years agoLegal TechLaw EnforcementLegal

  • 5+ years of experience writing ML code for launched products.
  • Understanding of the state of the art in generative AI, including RAG, LoRA, RLHF and others.
  • Experience creating data sets from proprietary anonymized data, and using them to train and fine-tune ML models.
  • Experience with machine learning frameworks like TensorFlow, PyTorch and Scikit-Learn.
  • Strong programming skills in Python and SQL.
  • BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields, or related work experience.

  • Build, train, fine-tune, deploy and maintain ML models for AI features.
  • Create, monitor and troubleshoot backend API services to allow Rocket Lawyer product frontends to interact with ML models.
  • Work closely with multiple product teams and cross-functional teammates to quickly integrate AI into existing and new Rocket Lawyer products.
  • Keep up-to-date with industry trends around generative AI and machine learning.
  • Rapidly prototype product features to explore new AI capabilities, while writing clean, understandable code.

PythonSQLMachine LearningPyTorchTensorflow

Posted 8 days ago
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πŸ“ Arizona

πŸ’Έ 135000.0 - 199000.0 USD per year

πŸ” Legal services

🏒 Company: Rocket LawyerπŸ‘₯ 251-500πŸ’° $223,000,000 Debt Financing over 3 years agoLegal TechLaw EnforcementLegal

  • 5+ years of Experience writing ML code for launched products
  • Understanding of the state of the art in generative AI, including RAG, LoRA, RLHF and others
  • Experience creating data sets from proprietary anonymized data, and using them to train and fine-tune ML models
  • Experience with machine learning frameworks like TensorFlow, PyTorch and Scikit-Learn
  • Strong programming skills in Python and SQL
  • BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields, or related work experience

  • Build, train, fine-tune, deploy and maintain ML models for AI features
  • Create, monitor and troubleshoot backend API services to allow product frontends to interact with ML models
  • Work closely with multiple product teams and cross-functional teammates to quickly integrate AI into existing and new products
  • Keep up-to-date with industry trends around generative AI and machine learning
  • Rapidly prototype product features to explore new AI capabilities

PythonSQLMachine LearningPyTorchTensorflow

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