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:

$231,100

This analysis is based on salary ranges collected from 100 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 $175,000 - $231,100

25% of job descriptions advertised a maximum salary above $277,500.
5% of job descriptions advertised a maximum salary above $368,750.

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 Kubernetes, Algorithms and Data Analysis. 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.

Kubernetes
22% jobs mention Kubernetes as a required skill. The Median Salary Range for these jobs is $176,600 - $253,940
- 25% of job descriptions advertised a maximum salary above $300,000.
- 5% of job descriptions advertised a maximum salary above $385,140.
Algorithms
38% jobs mention Algorithms as a required skill. The Median Salary Range for these jobs is $177,112 - $250,000
- 25% of job descriptions advertised a maximum salary above $300,490.
- 5% of job descriptions advertised a maximum salary above $398,080.
Data Analysis
21% jobs mention Data Analysis as a required skill. The Median Salary Range for these jobs is $170,000 - $250,000
- 25% of job descriptions advertised a maximum salary above $275,500.
- 5% of job descriptions advertised a maximum salary above $387,179.7.
AWS
42% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $172,500 - $239,500
- 25% of job descriptions advertised a maximum salary above $295,000.
- 5% of job descriptions advertised a maximum salary above $385,140.
Machine Learning
96% jobs mention Machine Learning as a required skill. The Median Salary Range for these jobs is $175,000 - $234,500
- 25% of job descriptions advertised a maximum salary above $280,900.
- 5% of job descriptions advertised a maximum salary above $370,210.
Python
91% jobs mention Python as a required skill. The Median Salary Range for these jobs is $175,000 - $229,900
- 25% of job descriptions advertised a maximum salary above $273,750.
- 5% of job descriptions advertised a maximum salary above $364,254.
Tensorflow
81% jobs mention Tensorflow as a required skill. The Median Salary Range for these jobs is $175,000 - $226,000
- 25% of job descriptions advertised a maximum salary above $280,450.
- 5% of job descriptions advertised a maximum salary above $364,254.
Data engineering
23% jobs mention Data engineering as a required skill. The Median Salary Range for these jobs is $175,000 - $225,000
- 25% of job descriptions advertised a maximum salary above $277,500.
- 5% of job descriptions advertised a maximum salary above $300,000.
SQL
34% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $170,000 - $218,213
- 25% of job descriptions advertised a maximum salary above $267,100.
- 5% of job descriptions advertised a maximum salary above $355,803.2.

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 Legal Tech, Healthcare Technology and Software Development. 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.

Legal Tech
2% jobs are in Legal Tech industry. The Median Salary Range for these jobs is $240,000 - $300,000
Healthcare Technology
2% jobs are in Healthcare Technology industry. The Median Salary Range for these jobs is $197,700 - $253,400
- 25% of job descriptions advertised a maximum salary above $281,800.
Software Development
24% jobs are in Software Development industry. The Median Salary Range for these jobs is $177,116.5 - $250,000
- 25% of job descriptions advertised a maximum salary above $316,145.5.
- 5% of job descriptions advertised a maximum salary above $566,640.
Artificial Intelligence
5% jobs are in Artificial Intelligence industry. The Median Salary Range for these jobs is $180,000 - $250,000
- 25% of job descriptions advertised a maximum salary above $312,500.
- 5% of job descriptions advertised a maximum salary above $425,000.
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
Online Advertising
2% jobs are in Online Advertising industry. The Median Salary Range for these jobs is $177,500 - $248,500
- 25% of job descriptions advertised a maximum salary above $267,100.
Cybersecurity
3% jobs are in Cybersecurity industry. The Median Salary Range for these jobs is $160,000 - $235,000
- 25% of job descriptions advertised a maximum salary above $280,000.
- 5% of job descriptions advertised a maximum salary above $295,000.
Aerospace
2% jobs are in Aerospace industry. The Median Salary Range for these jobs is $177,500 - $219,500
- 25% of job descriptions advertised a maximum salary above $244,000.
AI and Machine Learning
2% jobs are in AI and Machine Learning industry. The Median Salary Range for these jobs is $137,500 - $205,000
- 25% of job descriptions advertised a maximum salary above $250,000.
Legal Services
4% jobs are in Legal Services industry. The Median Salary Range for these jobs is $135,000 - $199,000

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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🔥 Staff Machine Learning Engineer, Bidding and Pacing

Posted 2 days ago

📍 United States, Canada

🧭 Full-Time

💸 230000.0 - 322000.0 USD per year

🔍 Software Development

🔧 Requirements

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 is required.
Significant experience in one or more general-purpose programming languages like Java, Python, Go, Scala, C++ or similar
Data processing frameworks like Spark, Flink, Kafka, Druid, etc.
A cloud service provider like AWS or GCP
Tools: Kubernetes, Drone, CircleCI, Spinnaker, Argo, Airflow, Docker, Thrift
Datastores: ElasticSearch / Amazon OpenSearch, Redis, Postgres, Cassandra, BigQuery
An machine learning modeling framework like Tensorflow or PyTorch

💡 Responsibilities

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.

AWS Docker Leadership PostgreSQL Python SQL Cloud Computing Data Analysis ElasticSearch GCP Java Kubernetes Machine Learning PyTorch Cross-functional Team Leadership Algorithms Cassandra Data Structures REST API Redis Tensorflow Scala Data modeling A/B testing

Posted 2 days ago

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🔥 Director of Machine Learning

Posted 3 days ago

📍 US

💸 220000.0 - 250000.0 USD per year

🔍 Software Development

🏢 Company: Inspiren👥 11-50💰 $2,720,602 over 2 years agoMachine Learning Analytics Information Technology Health Care

🔧 Requirements

8+ years of professional experience in machine learning, software engineering, or a similar domain
5+ years with machine learning algorithms, model development, and model deployment
5+ years of experience with computer vision
1+ years of experience with generative AI
5+ years of demonstrated ability to provide technical leadership, mentor team members, and drive consensus among diverse stakeholders
3+ years in advanced algorithm design and analysis
Proficiency in Python, R, or Scala languages for data science
Experience with TensorFlow, Keras, or PyTorch for neural network modeling
Ability to optimize machine learning models for performance
Proven track record of deploying machine learning models into production

💡 Responsibilities

Develop strategic goals for machine learning that are in sync with current industry trends and Inspiren’s business objectives.
Oversee the design of innovative machine learning models and algorithms, and refine existing ones to enhance performance and accuracy.
Mentor and nurture the professional growth of senior machine learning experts.
Drive innovative research and development in machine learning to keep our technology at the forefront.

Python Data Analysis Image Processing Keras Machine Learning Numpy PyTorch Algorithms Data Structures Pandas Tensorflow Scala Data modeling

Posted 3 days ago

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🔥 US Field Application Engineer (West Coast/Midwest/Great Lakes)

Posted 5 days ago

📍 United States

🧭 Full-Time

💸 100000.0 - 160000.0 USD per year

🔍 Artificial Intelligence

🏢 Company: Axelera AI

🔧 Requirements

BS/MS in Computer Science, Electrical Engineering or equivalent work experience
Experience in the semiconductor and/or Artificial Intelligence industry in a customer-facing application development or technical support role
Excellent communication and interpersonal skills, with the ability to engage with customers and internal teams effectively
Self-motivated and results-oriented, with a passion for staying up-to-date on the latest advancements in AI technology
Programming experience in a relevant area such as Python, C/C++, OpenCL, CUDA
Experience using a high-level ML framework such as PyTorch or TensorFlow
Solid understanding of embedded systems and practical experience with embedded hardware
You have excellent communication and presentation skills
Ability to travel to company sites as needed (expect up to 30% travel)

💡 Responsibilities

Engage with customers to understand their needs, acting as a technical expert on Axelera AI’s platform.
Address inquiries, provide product knowledge, and resolve technical issues directly or via R&D coordination.
Collaborate with Marketing and Business Development on product launches and technology evangelism.
Support Sales in expanding existing accounts, identifying new customers, and defending design wins.
Track customer interactions, ensuring follow-ups and effective communication.
Gather and relay customer feedback to Product Management for product improvements.
Conduct competitive analysis through customer and industry insights.
Assist in creating clear, compelling, and instructive product documentation
Advocate for customers internally, ensuring responsiveness and driving product enhancements.

Python Artificial Intelligence Embedded Systems Image Processing Machine Learning PyTorch Tensorflow Communication Skills Analytical Skills Problem Solving Customer service RESTful APIs Excellent communication skills Sales experience Technical support

Posted 5 days ago

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🔥 Principal Software Engineer, Agentic AI (Remote)

Posted 5 days ago

📍 United States

💸 185000.0 - 295000.0 USD per year

🔍 Cybersecurity

🏢 Company: crowdstrikecareers

🔧 Requirements

6+ years of experience in leading and building SAAS and hybrid-cloud application development, at large organizations or innovative startups.
3+ years of experience with Agentic AI platforms such as Microsoft Copilot Studio, Amazon Bedrock, Google Vertex AI, Open AI etc. Experience with AI based conversational UI.
Strong programming skills in one of Python, Go, Scala or Java, with experience in building distributed systems.
Demonstrated experience in platform development (APIs, Databases, Serverless architecture) of cloud applications.
Proven expertise with algorithms, distributed systems design and the software development lifecycle.
Experience in design hybrid cloud applications with considerations of load balancing, network infrastructure and micro services architecture.
Proven ability to work effectively with remote teams.

💡 Responsibilities

Lead Agentic AI solutions including sophisticated AI agents and fine tuning & integrating with models
Play key role in design, development, and deployment AI applications using LLM's, Agentic framework, and other related technologies. Scalability, accuracy and reliability will be key success criteria.
Collaborate with enterprise teams to integrate LLM models and deliver on committed roadmaps.
Mentor team members to build and grow expertise in this domain.
Define benchmarks with metrics to evaluate the performance of agents and Agentic frameworks
Stay up to date with the latest advancements in AI, LLM, Agentic frameworks and apply this knowledge to improve existing systems and develop new ones
Tackle highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions aligned with technical vision and business objectives
Trouble shoot, isolate and fix issues found during various stages of software development including production.
Leverage advanced technology experience to further organizations tactical and strategic business objectives
Act as an advisor to leadership to influence AI development strategies

AWS Backend Development Docker Leadership PostgreSQL Python SQL Artificial Intelligence Cloud Computing Cybersecurity Data Analysis Java Keras Kubernetes Machine Learning Numpy PyTorch Software Architecture Algorithms API testing Data science Data Structures Go Serverless Pandas Spark Tensorflow Communication Skills CI/CD RESTful APIs Mentoring DevOps Microservices Scala SaaS

Posted 5 days ago

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🔥 Machine Learning Software Engineer (L5) - Content and Studio

Posted 8 days ago

📍 United States of America

🧭 Full-Time

💸 360000.0 - 920000.0 USD per year

🔍 Software Development

🏢 Company: Netflix👥 10000-100000

🔧 Requirements

Proven track record of delivering high-impact algorithm-driven software systems and solutions
High proficiency in full stack engineering, including frontend, backend, distributed systems, and cloud infrastructure
Familiarity with algorithms and pipelines for processing large-scale media assets
Bonus: familiarity with common ML and DL frameworks such as PyTorch
Excellent communication and collaboration skills
Passion for bridging algorithms with tooling and workflows
Exceptional communication and collaboration skills
Comfortable with ambiguity; able to take ownership, and thrive with minimal oversight and process
Netflix culture resonates with you

💡 Responsibilities

Design and develop systems and solutions for developing algorithm tooling prototypes and enabling in-depth algorithm evaluation
Propose, promote and facilitate paved paths for integration and productization of algorithms, laying foundations for feedback loops and data flywheels
Identify and execute on opportunities to create leverage for scaling algorithm impact, managing algorithm dependencies and expanding algorithm distributions
Contribute to algorithm projects end-to-end across different domains
Cultivate strong relationships with cross-functional partners
Evangelize best practices on algorithm full stack engineering

AWS Backend Development Python Software Development Cloud Computing Frontend Development Full Stack Development Git Machine Learning PyTorch Algorithms Data science Data Structures REST API Communication Skills Analytical Skills Collaboration CI/CD Problem Solving

Posted 8 days ago

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🔥 Senior Gen AI/ML Engineer

Posted 9 days ago

📍 United States

🧭 Full-Time

💸 140000.0 - 165000.0 USD per year

🔍 Insurance

🏢 Company: Integrated Specialty Coverages, LLC

🔧 Requirements

5+ years of relevant model development and deployment experience, preferably within the insurance industry
Proven experience in prompt engineering, LLM fine-tuning, and LLM evaluation
Experience working with RAG architecture, including embedding models, retrieval mechanisms, and integration with LLMs
Proven experience building and deploying machine learning models
Experience building & deploying models with AWS tools (Bedrock, Sagemaker, Comprehend, S3, etc.) is preferred
Proficiency in writing production-quality, scalable code using Python; experience with scikit-learn, PyTorch, TensorFlow, huggingface, Keras, etc.
Strong working knowledge of MLFlow, Docker, Git, and SQL
Experience in creating and integrating APIs for model deployment

💡 Responsibilities

Utilize expertise in generative AI technologies to develop innovative solutions for underwriting, risk assessment, claims processing, and customer engagement.
Think big about the arc of development of generative AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems
Work closely with engineering and devops teams to ensure seamless integration, deployment, and scalability of machine learning models within the existing infrastructure.
Keep abreast of the latest developments in AI and machine learning, particularly in generative models, to inform strategy and implementation.
Build, deploy, maintain, and optimize machine learning models
Adhere to best practices for model validation, testing, and monitoring to ensure performance and reliability
Provide guidance and mentorship to junior data scientists, fostering a culture of learning and professional growth within the data science team.
Effectively communicate complex analytical findings to both technical and non-technical audiences through reports, presentations, and visualizations.
Proactively identify areas for improvement in existing models and processes, advocating for and implementing enhancements.

AWS Docker Python SQL Artificial Intelligence Data Analysis Git Machine Learning MLFlow PyTorch API testing Tensorflow Communication Skills Problem Solving Data visualization

Posted 9 days ago

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🔥 Lead Software Engineer, Machine Learning

Posted 11 days ago

📍 United States

🧭 Full-Time

💸 100000.0 - 120000.0 USD per year

🔍 Software Development

🏢 Company: Monarch Money

🔧 Requirements

Experience with GenAI, including using techniques like Retrieval Augmented Generation (RAG) and Agentic models, as well as evaluation techniques for GenAI models.
Experience with "classic" ML models (pre-GenAI), in particular ones focused on Natural Language Processing (NLP)—everything from TF-IDF and SVMs to BERT and Word2Vec. Be comfortable with generating/using embeddings.
Great collaboration/communication skills and a sharp product sense.
Comfort working with large-scale data, especially sensitive.

💡 Responsibilities

Help propose, gather and prioritize ideas on how we can harness ML to pursue Monarch's mission of improving household's personal financial lives.
Rapidly prototype and experiment with early ideas to assess feasibility and impact.
Train, evaluate, and tune ML models.
Work with the Product Engineering and Data teams to gather and preprocess the appropriate datasets.
Deploy ML models to production.
Help build ML infra and tooling where appropriate.

Python Data Analysis Machine Learning PyTorch Data engineering Tensorflow

Posted 11 days ago

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🔥 Senior Machine Learning Engineer

Posted 12 days ago

📍 CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, TX, UT, and WA.

🧭 Full-Time

💸 155000.0 - 220000.0 USD per year

🔍 Mobile Industry

🏢 Company: Liftoff👥 501-1000💰 Private about 4 years agoAdvertising Platforms Big Data Mobile Advertising App Marketing Ad Retargeting Mobile Ad Network

🔧 Requirements

5+ years of industry experience applying Machine Learning (including neural networks) to large scale problems.
Experience with Recommendation Systems
Hands on experience with deep neural networks in production at scale.
Solid engineering and coding skills.
Track record of well-developed execution and timely delivery of projects.
B.S. or higher in Machine Learning, Math, Physics or similar. PhD a plus.
Experience with AdTech is a solid plus

💡 Responsibilities

Develop and maintain machine learning models that are integral to our production decision-making system and directly influencing business outcomes.
Adopt or build new technologies for training and serving ML models (e.g. support large models, increase developer velocity, etc)
Monitor the latest ML research for functional ideas that the team could try.
Optimize ML Pipelines – Build and scale efficient pipelines for real-time and batch processing.
Model Monitoring & Improvement – Track performance, detect drift, and automate retraining.
Use strong communication skills (verbal and written) to explain statistical and machine learning concepts to both technical and non-technical audiences
Collaborate with a team of world-class engineers with diverse backgrounds.
Be part of an “engineering excellence” culture through state-of-the-art tools, risk-driven testing, explainable systems, and code review.

AWS Docker Python SQL Apache Airflow Data Analysis ETL Kubernetes Machine Learning MLFlow PyTorch Algorithms Data engineering Data Structures REST API Spark Tensorflow Communication Skills Analytical Skills Collaboration CI/CD Problem Solving

Posted 12 days ago

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🔥 Data Science Intern, Platform (PhD)

Posted 12 days ago

📍 United States

🧭 Internship

💸 117000.0 USD per year

🔍 Data Science

🏢 Company: Airbnb👥 5001-10000💰 Secondary Market almost 5 years ago🫂 Last layoff about 2 years agoHospitality Travel Accommodations PropTech Marketplace Mobile Apps Travel

🔧 Requirements

Currently enrolled in a doctoral program in computer science, computer engineering, data science or equivalent
Knowledge of GenAI techniques in the image domain
Ability to read and summarize academic papers
Solid Python coding skills
Familiarity with DNN frameworks like PyTorch or Tensorflow

💡 Responsibilities

Conduct literature reviews for GenAI detection methods
Investigate approaches to create training datasets for image authenticity
Implement pretrained detection models and analyze performance
Train and fine-tune detection models using in-house datasets

Python Image Processing Machine Learning PyTorch Data science Tensorflow

Posted 12 days ago

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🔥 Applied Science Principal (Remote)

Posted 12 days ago

📍 United States

🧭 Full-Time

💸 180600.0 - 264900.0 USD per year

🏢 Company: Guild👥 1001-5000💰 $264,674,905 Series F almost 3 years ago🫂 Last layoff 10 months agoEducation EdTech Career Planning

🔧 Requirements

Deep expertise in machine learning and generative AI.
Strong programming skills in Python and ML frameworks like TensorFlow or PyTorch.
Experience with MLOps, including model lifecycle management.
Prior experience in AI-driven personalization or large-scale NLP models.
Experience leading AI research and development efforts.

💡 Responsibilities

Lead the research, development, and deployment of scalable machine learning and generative AI models.
Oversee high-impact AI and ML initiatives.
Act as a technical authority, providing guidance to applied science teams.
Design and evolve AI and applied science roadmap.
Communicate complex AI concepts to stakeholders.
Lead research efforts on emerging AI tools and techniques.
Partner with engineering teams to integrate AI solutions.
Expand MLOps capabilities.

Python Machine Learning PyTorch Tensorflow

Posted 12 days ago

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Shown 10 out of 107

PyTorch Job Salaries

Median high-range salary for jobs requiring PyTorch:

Skills and Salary

Kubernetes

Algorithms

Data Analysis

AWS

Machine Learning

Python

Tensorflow

Data engineering

SQL

Industries and Salary

Legal Tech

Healthcare Technology

Software Development

Artificial Intelligence

3D technology, Mixed-reality experiences

Online Advertising

Cybersecurity

Aerospace

AI and Machine Learning

Legal Services

Jobs