Tensorflow Job Salaries

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

Tensorflow

Median high-range salary for jobs requiring Tensorflow:

$225,000

This analysis is based on salary ranges collected from 90 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 $171,000 - $225,000

25% of job descriptions advertised a maximum salary above $275,000.
5% of job descriptions advertised a maximum salary above $364,254.

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, PyTorch and Machine Learning. 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.

Algorithms
41% jobs mention Algorithms as a required skill. The Median Salary Range for these jobs is $175,000 - $250,000
- 25% of job descriptions advertised a maximum salary above $286,000.
- 5% of job descriptions advertised a maximum salary above $364,803.9.
PyTorch
90% jobs mention PyTorch 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.
Machine Learning
96% jobs mention Machine Learning as a required skill. The Median Salary Range for these jobs is $171,000 - $225,500
- 25% of job descriptions advertised a maximum salary above $280,000.
- 5% of job descriptions advertised a maximum salary above $364,254.
Python
94% jobs mention Python as a required skill. The Median Salary Range for these jobs is $170,000 - $225,000
- 25% of job descriptions advertised a maximum salary above $267,825.
- 5% of job descriptions advertised a maximum salary above $334,813.5.
Communication Skills
27% jobs mention Communication Skills as a required skill. The Median Salary Range for these jobs is $170,000 - $225,000
- 25% of job descriptions advertised a maximum salary above $268,550.
- 5% of job descriptions advertised a maximum salary above $319,619.2.
Docker
23% jobs mention Docker 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 $296,250.
- 5% of job descriptions advertised a maximum salary above $343,045.
AWS
43% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $165,000 - $220,000
- 25% of job descriptions advertised a maximum salary above $282,700.
- 5% of job descriptions advertised a maximum salary above $345,239.7.
Data engineering
26% jobs mention Data engineering as a required skill. The Median Salary Range for these jobs is $172,000 - $220,000
- 25% of job descriptions advertised a maximum salary above $277,500.
- 5% of job descriptions advertised a maximum salary above $300,000.
SQL
39% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $164,200 - $215,000
- 25% of job descriptions advertised a maximum salary above $246,250.
- 5% of job descriptions advertised a maximum salary above $316,500.

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
23% jobs are in Software Development industry. The Median Salary Range for these jobs is $176,924 - $250,000
- 25% of job descriptions advertised a maximum salary above $302,940.25.
- 5% of job descriptions advertised a maximum salary above $364,254.
Artificial Intelligence
3% 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 $268,750.
- 5% of job descriptions advertised a maximum salary above $275,000.
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.
Legal Services
4% jobs are in Legal Services industry. The Median Salary Range for these jobs is $135,000 - $199,000
EdTech
2% jobs are in EdTech industry. The Median Salary Range for these jobs is $147,500 - $162,500
- 25% of job descriptions advertised a maximum salary above $170,000.
AI and Machine Learning
1% jobs are in AI and Machine Learning industry. The Median Salary Range for these jobs is $100,000 - $160,000

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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🔥 Graduate PhD Summer Intern – AI/ML Software Developer

Posted about 23 hours ago

📍 United States of America

🧭 Internship

💸 50200.0 - 80300.0 USD per year

🔍 Software Development

🏢 Company: NREL

🔧 Requirements

Only current PhD students will be considered for this internship.
Experience in deep learning models, Bayesian neural networks, graph neural network models, and probabilistic semantic graphs.
Experience in the formulation of mixed-integer optimization problems and open-source solvers for sensor placement in distribution systems.
Demonstrated experience in programming languages such as Python and MATLAB.
Experience with open-source, collaborative software development and use of tools such as GitHub or GitLab for project management and version control.

💡 Responsibilities

Develop sensor placement and optimization software tools for modern distribution power systems integrated with clean energy resources such as Photovoltaics, batteries, EV Charging Stations, and electric vehicles.
Contribute to the development of deep learning models such as Bayesian neural networks, graph neural networks, probabilistic semantic graphs, and Generative AI to detect anomalies such as missing data, bad data, and communications failure in sensor data.
Development of data driven forecasting and disaggregation models and validation of both centralized and distributed state estimation algorithms.

Python Git Machine Learning Matlab Numpy Tensorflow

Posted about 23 hours ago

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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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🔥 Applied AI Engineer

Posted 7 days ago

📍 United States

🧭 Full-Time

💸 185000.0 - 325000.0 USD per year

🔍 Financial

🏢 Company: Valon

🔧 Requirements

A proven track record of implementing generative AI solutions in production environments.
Proficiency in tools and models such as OpenAI, Anthropic, Hugging Face, and human-in-the-loop platforms like Humanloop.
Experience with full-stack development, particularly with Python, React, and GCP.
5+ years of industry experience in engineering with a strong focus on AI, particularly LLMs and related technologies.
Strong problem-solving skills and excellent communication abilities.
Strong ability to collaborate with product managers, founders, and the operational team to build and iterate on product-focused AI solutions.

💡 Responsibilities

Lead the end-to-end development and deployment of AI systems for mortgage servicing products and workflows, including document classification, call center insights, and servicing specific agentic AI.
Identify new opportunities to apply generative AI to enhance operational efficiency across the entire business.
Oversee the architecture, training, and serving of open-source deep learning models using state-of-the-art infrastructure.
Conduct applied product research to evaluate and integrate the latest LLM models and techniques into production systems.
Ensure AI solutions adhere to regulatory standards.
Mentor and guide team members, fostering an environment of continuous learning and innovation.

Backend Development Docker Python Artificial Intelligence Full Stack Development GCP Kubernetes Machine Learning REST API React Tensorflow

Posted 7 days ago

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🔥 Engineering Team Lead - AI

Posted 8 days ago

📍 United States

🧭 Full-Time

💸 145000.0 - 155000.0 USD per year

🔍 EdTech

🏢 Company: Echo360 Inc

🔧 Requirements

5+ years of experience in AI development and deployment.
3+ years of experience using AWS AI services.
Strong programming skills in Python and other relevant languages.
Experience with machine learning frameworks and multiple LLMs, including Response Augmentation for extraction, summarization, search, and generation of new content.
Experience with AI-supported document processing, video analysis, interaction and engagement data, and assessment.
Strong understanding of data pipelines and data engineering principles.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.

💡 Responsibilities

Lead technical design and architecture for AI projects, ensuring best practices.
Develop and deploy AI models for document, video, and interaction data using AWS and other model/service providers
Build and maintain data pipelines for AI model training and deployment.
Collaborate very closely with peer tech leads with responsibility for ensuring successful development and integration of specific features into platform modules.
Provide leadership and technical guidance to AI team members.
Evaluate and recommend new AI technologies and tools.
Collaborate with product and engineering teams to define AI requirements.
Conduct thorough testing and validation of AI models.
Communicate complex technical concepts to diverse audiences.
Contribute to code reviews and knowledge-sharing sessions.

AWS Leadership Python Software Development Artificial Intelligence Data Analysis Machine Learning Algorithms Data engineering REST API Tensorflow Communication Skills Collaboration Problem Solving

Posted 8 days ago

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🔥 Machine Learning Engineer

Posted 8 days ago

📍 United States, Canada

🧭 Full-Time

💸 70168.0 - 176880.0 USD per year

🔍 Video Gaming

🏢 Company: thatgamecompany👥 101-250💰 about 3 years agoDeveloper Tools Video Games Console Games Family MMO Games Social Network Mobile Online Games

🔧 Requirements

3+ Years of Experience in applied Data Science or Machine Learning
Knowledge of Machine learning and Statistical methods (Classical ML, Deep Learning, NLP, and Anomaly Detection) and the ability to identify the most suitable solution for the problem
Experience building and deploying complex and scalable machine learning models in production environments, ideally in Kubernetes
Experience writing clean, efficient code in Python, Java, or Scala
Experience writing optimized SQL Queries to build and analyze datasets

💡 Responsibilities

Complete a project from start to finish. That includes requirements gathering, experimentation, model development, deployment, monitoring, documentation, support, and communication

Python SQL Data Analysis ETL GCP Kubernetes Machine Learning Numpy Algorithms Data science Data Structures REST API Pandas Spark Tensorflow Communication Skills CI/CD Problem Solving Scala Data visualization

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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🔥 Staff, Machine Learning Engineer (L4)

Posted 10 days ago

📍 Canada

💸 172800.0 - 216000.0 CAD per year

🔍 Software Development

🏢 Company: Twilio👥 5001-10000💰 $378,215,525 Post-IPO Equity over 3 years ago🫂 Last layoff over 1 year agoMessaging SMS Mobile Apps Enterprise Software Software

🔧 Requirements

5+ years of applied ML engineering experience
Develop and Deploy AI Models: Build and deploy machine learning models leveraging NLP techniques and GenAI-powered applications, to production environments, ensuring they meet the diverse needs of Twilio's verticals and customer base.
Collaborate Across Teams: Work closely with product, program, analytics, and engineering teams to implement and refine machine learning, statistical, and forecasting models that drive business outcomes.
Utilize Advanced Technical Stack: Leverage our technical stack, including Python, SQL, R, AWS (Sagemaker, Lambda, S3, Kendra), MySQL, Airtable, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Keras, to develop robust and scalable AI/ML solutions.
Integrate Enterprise Data Sources: Effectively utilize enterprise data sources like Salesforce and Zendesk to inform model development and enhance predictive accuracy.
Harness the Power of LLMs: Apply knowledge of Large Language Models (LLMs) such as OpenAI's GPT models, Claude, Gemini, Llama, Whisper, and Groq to develop innovative GenAI use cases and solutions

💡 Responsibilities

Develop and Deploy AI/ML Models: Build and deploy machine learning models by leveraging NLP, recommendation systems & Gen AI-powered applications, to production environments, ensuring they meet the diverse needs of Twilio's verticals and customer base.
Collaborate Across Teams: Work closely with product, program, analytics, and engineering teams to implement and refine machine learning, statistical, and forecasting models that drive business outcomes.
Utilize Advanced Technical Stack: Leverage our technical stack, including Python, SQL, R, AWS (Sage maker, Lambda, S3, Kendra), MySQL, Air table, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Keras, to develop robust and scalable AI/ML solutions.
Integrate Enterprise Data Sources: Effectively utilize enterprise data sources like Salesforce and Zen desk to inform model development and enhance predictive accuracy.
Harness the Power of LLMs: Apply knowledge of Large Language Models (LLMs) such as OpenAI's GPT models, Claude, Gemini, Llama, Whisper, and Groq to develop innovative Gen AI use cases and solutions

AWS Python SQL Apache Airflow Data Analysis Data Mining Keras Machine Learning MLFlow MySQL Numpy Algorithms API testing Data science REST API Pandas Tensorflow

Posted 10 days ago

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Shown 10 out of 97

Tensorflow Job Salaries

Median high-range salary for jobs requiring Tensorflow:

Skills and Salary

Algorithms

PyTorch

Machine Learning

Python

Communication Skills

Docker

AWS

Data engineering

SQL

Industries and Salary

Legal Tech

Healthcare Technology

Software Development

Artificial Intelligence

Online Advertising

Cybersecurity

Aerospace

Legal Services

EdTech

AI and Machine Learning

Jobs