Keras Job Salaries

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

Keras

Median high-range salary for jobs requiring Keras:

$200,000

This analysis is based on salary ranges collected from 11 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 $163,920 - $200,000

25% of job descriptions advertised a maximum salary above $219,500.
5% of job descriptions advertised a maximum salary above $268,794.

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 Docker, Data science and PyTorch. 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.

Docker
36% jobs mention Docker as a required skill. The Median Salary Range for these jobs is $184,500 - $222,940
- 25% of job descriptions advertised a maximum salary above $257,940.
- 5% of job descriptions advertised a maximum salary above $270,000.
Data science
45% jobs mention Data science as a required skill. The Median Salary Range for these jobs is $160,000 - $218,000
- 25% of job descriptions advertised a maximum salary above $232,500.
- 5% of job descriptions advertised a maximum salary above $270,000.
PyTorch
91% jobs mention PyTorch as a required skill. The Median Salary Range for these jobs is $165,460 - $200,000
- 25% of job descriptions advertised a maximum salary above $220,000.
- 5% of job descriptions advertised a maximum salary above $270,000.
AWS
73% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $161,960 - $200,000
- 25% of job descriptions advertised a maximum salary above $231,940.
- 5% of job descriptions advertised a maximum salary above $270,000.
Collaboration
64% jobs mention Collaboration as a required skill. The Median Salary Range for these jobs is $167,000 - $200,000
- 25% of job descriptions advertised a maximum salary above $219,500.
- 5% of job descriptions advertised a maximum salary above $245,880.
SQL
55% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $172,000 - $200,000
- 25% of job descriptions advertised a maximum salary above $218,000.
- 5% of job descriptions advertised a maximum salary above $270,000.
Python
91% jobs mention Python as a required skill. The Median Salary Range for these jobs is $161,960 - $198,175
- 25% of job descriptions advertised a maximum salary above $218,000.
- 5% of job descriptions advertised a maximum salary above $270,000.
Tensorflow
91% jobs mention Tensorflow as a required skill. The Median Salary Range for these jobs is $161,960 - $198,175
- 25% of job descriptions advertised a maximum salary above $218,000.
- 5% of job descriptions advertised a maximum salary above $270,000.
Machine Learning
82% jobs mention Machine Learning as a required skill. The Median Salary Range for these jobs is $160,000 - $196,350
- 25% of job descriptions advertised a maximum salary above $226,470.
- 5% of job descriptions advertised a maximum salary above $270,000.

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 Real-time business communications and data solutions, Information Technology and Defense software. 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.

Real-time business communications and data solutions
9% jobs are in Real-time business communications and data solutions industry. The Median Salary Range for these jobs is $184,000 - $270,000
Information Technology
9% jobs are in Information Technology industry. The Median Salary Range for these jobs is $163,920 - $245,880
Defense software
9% jobs are in Defense software industry. The Median Salary Range for these jobs is $175,000 - $220,000
B2B technology
9% jobs are in B2B technology industry. The Median Salary Range for these jobs is $160,000 - $218,000
Music technology
9% jobs are in Music technology industry. The Median Salary Range for these jobs is $185,000 - $200,000
Artificial Intelligence
9% jobs are in Artificial Intelligence industry. The Median Salary Range for these jobs is $142,800 - $196,350
Real estate investing
9% jobs are in Real estate investing industry. The Median Salary Range for these jobs is $167,000 - $196,000
Interior design and ecommerce
9% jobs are in Interior design and ecommerce industry. The Median Salary Range for these jobs is $160,000 - $190,000
Real Estate
9% jobs are in Real Estate industry. The Median Salary Range for these jobs is $104,000 - $166,000
Insurance and Technology
9% jobs are in Insurance and Technology industry. The Median Salary Range for these jobs is $104,800 - $158,400

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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16 jobs found.

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🔥 Senior AI Engineer

Posted 14 days ago

📍 USA

💸 142800.0 - 196350.0 USD per year

🔍 Artificial Intelligence

🏢 Company: AppOmni👥 101-250💰 Series C about 2 years agoSaaS Cloud Security Cyber Security Cloud Management Software

At least 5 years of experience in new product development, ideally with a software engineering background.
At least 3 years of experience in machine learning.
Strong programming skills in Python for production implementation.
Experience with libraries: Pandas, PySpark, TensorFlow, Keras, Langchain.
Degree in Engineering, Computer Science, Data Science, or a related field.
Experience in data exploration and science with large datasets.
Experience with machine learning algorithms in large datasets.
Experience in implementing Generative AI.
Excellent communication and collaboration skills.

Design and develop models using tools like Langchain, Scipy, Pandas, etc.
Build data pipelines for large datasets to enable model training.
Select appropriate algorithms for various problems.
Identify patterns and correlations through data modeling.
Research and develop data-driven solutions for business problems.
Analyze and interpret data for insights.
Clean and preprocess data, handling missing values.
Evaluate and test model performance with metrics.
Implement Generative AI where applicable.
Integrate AI solutions into existing systems.
Translate stakeholder requirements into technical solutions.

AWS Python SQL Apache Airflow Cloud Computing Data Analysis GCP Keras Machine Learning PyTorch Data science Pandas Tensorflow

Posted 14 days ago

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🔥 Staff, Machine Learning Engineer

Posted 25 days ago

📍 South America, Europe, Asia, Australia

🧭 Full-Time

💸 184000.0 - 270000.0 USD per year

🔍 Real-time business communications and data solutions

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

5+ years of applied ML experience focusing on developing and deploying LLMs and supervised ML models.
Proficiency in programming languages such as Python or R, and experience with frameworks like Pytorch, TensorFlow, SciKit-Learn.
Strong understanding of data processing techniques, including SQL and big data technologies.
Demonstrated ability to develop, train, and deploy ML models and Python apps in production.
Experience with cloud platforms and containerization tools like Docker and Kubernetes.
Excellent problem-solving skills and strong communication capabilities.

Build and deploy machine learning models leveraging NLP, recommendation systems & GenAI-powered applications.
Collaborate closely with product, program, analytics, and engineering teams to refine models for business outcomes.
Leverage technical stack such as Python, SQL, R, and libraries for developing AI/ML solutions.
Utilize enterprise data sources like Salesforce and Zendesk to enhance predictive accuracy.
Apply knowledge of Large Language Models for developing innovative GenAI use cases.

AWS Docker Python SQL Keras Kubernetes Machine Learning PyTorch Data science Tensorflow

Posted 25 days ago

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🔥 Machine Learning Engineer

Posted 25 days ago

📍 United States

🧭 Full-Time

💸 104800.0 - 158400.0 USD per year

🔍 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.

AWS Python Keras Machine Learning MLFlow PyTorch Tensorflow Terraform

Posted 25 days ago

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🔥 Data Lead

Posted 29 days ago

📍 England, United Kingdom

🧭 Full-Time

💸 90000.0 - 110000.0 GBP per year

🔍 Health tech

🏢 Company: Little Journey👥 1-10💰 $7,580,380 Series A about 2 months agoClinical Trials Information Technology Health Care

MSc degree or higher in data science or equivalent from a leading university.
Confident in architecting highly efficient, scalable data pipelines.
Expertise in Python and associated data science libraries (e.g Scikit-learn, PyTorch, TensorFlow, Keras...) and modern data pipeline frameworks such as Dagster, dbt.
Strong exposure designing and implementing data science models leading to competitive advantages.
Proficiency in leveraging automation tools.
Experience communicating with non-technical staff such as product manager, clinicians, operational staff, and management.

Ownership and leadership for Little Journey’s data strategy and implementation of data driven projects.
Identify valuable data sources and automate the collection process, embedding this into all Little Journey products.
Hands-on building of models to address business and product challenges.
Build and lead an efficient and autonomous data team.
Creating a Data Architecture and tech stack that aligns with the data roadmap.
Bringing fresh initiatives by putting the right data tooling in place.
Security and compliance management.

Python SQL ETL Keras Machine Learning PyTorch Data engineering Tensorflow Data visualization Data modeling

Posted 29 days ago

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🔥 Senior Software Engineer II, ML Core (Remote)

Posted about 1 month ago

📍 US, UK

🧭 Full-Time

💸 185000.0 - 200000.0 USD per year

🔍 Music technology

Worked 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.

Help define the architecture and drive implementation changes across multiple backend services that power Splice’s next generation products.
Translate large-scale architectural changes into manageable, incremental outcomes that provide ongoing customer benefits.
Help optimize search infrastructure and create mechanisms for safe and rapid ML model productionalization.
Advocate for system designs and APIs that make 'The right thing, the easy thing.'
Drive solutions that are both technically and organizationally scalable.

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

Posted about 1 month ago

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🔥 Senior Data Scientist, Business Intelligence team (100% remote-friendly within Spain)

Posted about 1 month ago

📍 Spain

💸 60000 - 70000 EUR per year

🔍 Healthcare technology

5+ years of relevant experience in data, working with state-of-the-art technologies.
Good understanding of statistical models (hypothesis testing, regression analysis, etc.) and time series analysis.
Expertise in ML-based methodologies, both supervised and unsupervised.
Hands-on experience in model development, deployment, and optimization using libraries and frameworks like NumPy, Pandas, Scikit-learn, PyTorch, and Keras.
Experience working with Data Warehouses such as Redshift, BigQuery, and Snowflake.
Understanding of model development lifecycle, MLOps, containerization and orchestration: Docker, Kubernetes, MLFlow, etc.
Excellent communication skills and stakeholder management.
Strong ability to translate business needs into technical requirements.
Agile mindset with the capability to experiment and adapt.
Growth mindset with a passion for learning and self-improvement.

Lead the complete model development lifecycle, implementing best practices for consistent testing and efficient software delivery.
Create, deploy, and fine-tune predictive models and machine learning algorithms for specific use cases.
Craft rigorous experiments and deliver insights to answer empirical questions.
Collaborate with data engineering and infrastructure teams to maintain and enhance a centralized data platform.
Participate in interdisciplinary projects at the intersection of business and technology.

Docker Agile Git Keras Kubernetes Machine Learning MLFlow Numpy PyTorch Snowflake Algorithms Data engineering Go Pandas Spark Communication Skills

Posted about 1 month ago

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🔥 Senior Data Scientist, Business Intelligence team (100% remote-friendly within Poland)

Posted about 1 month ago

📍 Poland

🧭 Full-Time

💸 21500 - 25000 PLN per month

🔍 Healthcare technology

5+ years of relevant experience working with state-of-the-art technologies.
Good understanding of statistical models and time series analysis.
Expertise in ML methodologies and model evaluation techniques.
Hands-on experience with libraries like NumPy, Pandas, Scikit-learn, PyTorch, and Keras.
Experience in Data Warehouses such as Redshift, BigQuery, and Snowflake.
Familiarity with version control practices using Git.
Understanding of MLOps, containerization, and orchestration tools.
Excellent communication and stakeholder management skills.
Ability to translate business needs into technical requirements.
Agile mindset with a commitment to continuous learning.

Lead the complete model development lifecycle, implementing best practices for testing and software delivery.
Create, deploy, and fine-tune predictive models and machine learning algorithms for specific use cases.
Craft rigorous experiments and deliver insights to empirical questions.
Collaborate with engineering teams to maintain and enhance a centralized data platform.
Participate in interdisciplinary projects to develop innovative solutions providing substantial value.

Docker Agile Git Keras Kubernetes Machine Learning MLFlow Numpy PyTorch Snowflake Algorithms Data engineering Go Pandas Communication Skills

Posted about 1 month ago

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🔥 Senior Software Engineer II, ML Core (Remote)

Posted about 2 months ago

📍 U.S.

🧭 Full-Time

💸 185000 - 200000 USD per year

🔍 Music technology

🏢 Company: Splice👥 101-250💰 $55,000,000 Series D almost 4 years agoMedia and Entertainment Music Machine Learning Software

Experience with Elasticsearch and optimizing data representations, queries, and clusters.
Relevant work experience building production software using Go and Python.
Experience deploying and managing ML models in production.
Several years of experience with RDBMS such as MySQL or PostgreSQL.
Experience with SaaS and cloud provider primitives.
Bias towards action and experimentation with a focus on quality.

Help define the architecture and drive implementation changes across multiple backend services.
Translate large-scale architectural changes into manageable outcomes.
Optimize search infrastructure and create mechanisms for ML model productionalization.
Advocate for system designs and APIs that facilitate best practices.
Deliver complex projects across teams, track progress, and enhance engineering practices.

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

Posted about 2 months ago

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🔥 Machine Learning Engineer

Posted 2 months ago

📍 San Francisco, Bay Area, Seattle, UK, India

🧭 Full-Time

💸 160000.0 - 218000.0 USD per year

🔍 B2B technology

5+ years in machine learning engineering or a related field with hands-on experience in deploying production-level models.
Degree in Computer Science, Machine Learning, Engineering or related fields (Mathematics, Statistics, Physics).
Demonstrated expertise in deploying and optimizing machine learning models in areas such as Ranking & Recommendation Systems, Ad Optimization, Real-Time Bidding, Reinforcement Learning, and Experimentation.
Proficient in Python and ML libraries (Scikit-Learn, Pandas, Numpy, etc.).
Experience with Scala for data pipeline and production optimization.
Familiarity with ML frameworks like TensorFlow, Keras, PyTorch, and SparkML.
Strong SQL and No-SQL database skills.
Google Cloud Platform or AWS experience preferred, along with Spark and BQML.

Develop and deploy machine learning models that drive real-time business insights and impact campaign KPIs.
Build robust data pipelines to support ML model training, testing, and deployment at scale using Python and Scala.
Collaborate closely with data engineering, product management, and UX design teams for seamless model integration.
Implement monitoring systems for evaluating model performance in production and optimize/retrain models as needed.
Stay updated on industry advancements and integrate new techniques to maintain cutting-edge capabilities.

AWS Python SQL Keras Machine Learning Numpy Product Management PyTorch Algorithms Data engineering Data science Pandas Spark Tensorflow Collaboration Scala

Posted 2 months ago

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🔥 Computer Science PhD Intern - Machine Learning

Posted 2 months ago

📍 Europe/UK, North America

🧭 Internship

💸 7000 USD per month

🔍 Technology, Privacy, Web Browsing

🏢 Company: Brave👥 101-250💰 Series B almost 3 years ago🫂 Last layoff 4 months agoInternet Cryptocurrency Artificial Intelligence (AI)Advertising Search Engine Blockchain Web Browsers Machine Learning Software

Current enrollment in a Ph.D. program.
Readiness to tackle difficult problems in machine learning.
Interest in privacy-preserving ML and related technologies.

Work on ground-breaking technologies improving web speed, safety, and privacy.
Engage in software development that will benefit millions of users.
Collaborate with academic groups to address complex issues.
Participate in a team environment with mentorship.

Python Data Analysis Keras Machine Learning NLTK Numpy PyTorch Data science Pandas Tensorflow

Posted 2 months ago

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Shown 10 out of 16

Keras Job Salaries

Median high-range salary for jobs requiring Keras:

Skills and Salary

Docker

Data science

PyTorch

AWS

Collaboration

SQL

Python

Tensorflow

Machine Learning

Industries and Salary

Real-time business communications and data solutions

Information Technology

Defense software

B2B technology

Music technology

Artificial Intelligence

Real estate investing

Interior design and ecommerce

Real Estate

Insurance and Technology

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