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:

$250,000

This analysis is based on salary ranges collected from 13 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 $185,000 - $250,000

25% of job descriptions advertised a maximum salary above $262,250.
5% of job descriptions advertised a maximum salary above $292,750.

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 Python, Machine Learning 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.

Python
100% jobs mention Python as a required skill. The Median Salary Range for these jobs is $185,000 - $250,000
- 25% of job descriptions advertised a maximum salary above $262,250.
- 5% of job descriptions advertised a maximum salary above $292,750.
Machine Learning
85% jobs mention Machine Learning as a required skill. The Median Salary Range for these jobs is $180,000 - $250,000
- 25% of job descriptions advertised a maximum salary above $266,750.
- 5% of job descriptions advertised a maximum salary above $294,250.
PyTorch
85% jobs mention PyTorch as a required skill. The Median Salary Range for these jobs is $185,000 - $250,000
- 25% of job descriptions advertised a maximum salary above $266,750.
- 5% of job descriptions advertised a maximum salary above $294,250.
Numpy
54% jobs mention Numpy as a required skill. The Median Salary Range for these jobs is $185,000 - $250,000
- 25% of job descriptions advertised a maximum salary above $272,500.
- 5% of job descriptions advertised a maximum salary above $295,000.
Algorithms
54% jobs mention Algorithms as a required skill. The Median Salary Range for these jobs is $185,000 - $250,000
- 25% of job descriptions advertised a maximum salary above $272,500.
- 5% of job descriptions advertised a maximum salary above $295,000.
Tensorflow
77% jobs mention Tensorflow as a required skill. The Median Salary Range for these jobs is $185,000 - $247,940
- 25% of job descriptions advertised a maximum salary above $250,000.
- 5% of job descriptions advertised a maximum salary above $295,000.
Docker
38% jobs mention Docker as a required skill. The Median Salary Range for these jobs is $185,000 - $245,880
- 25% of job descriptions advertised a maximum salary above $283,750.
- 5% of job descriptions advertised a maximum salary above $295,000.
AWS
62% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $182,500 - $231,940
- 25% of job descriptions advertised a maximum salary above $255,000.
- 5% of job descriptions advertised a maximum salary above $295,000.
SQL
62% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $185,000 - $209,000
- 25% of job descriptions advertised a maximum salary above $270,000.
- 5% of job descriptions advertised a maximum salary above $295,000.

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 Cybersecurity, AI, cybersecurity, life sciences, financial services and Data activation and SaaS. 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.

Cybersecurity
8% jobs are in Cybersecurity industry. The Median Salary Range for these jobs is $185,000 - $295,000
AI, cybersecurity, life sciences, financial services
8% jobs are in AI, cybersecurity, life sciences, financial services industry. The Median Salary Range for these jobs is $167,000 - $269,000
Data activation and SaaS
8% jobs are in Data activation and SaaS industry. The Median Salary Range for these jobs is $200,000 - $260,000
Software Development
38% jobs are in Software Development industry. The Median Salary Range for these jobs is $220,000 - $250,000
- 25% of job descriptions advertised a maximum salary above $257,500.
- 5% of job descriptions advertised a maximum salary above $280,000.
Information Technology
8% jobs are in Information Technology industry. The Median Salary Range for these jobs is $163,920 - $245,880
Mental Health
8% jobs are in Mental Health industry. The Median Salary Range for these jobs is $170,000 - $200,000
Music technology
8% jobs are in Music technology industry. The Median Salary Range for these jobs is $185,000 - $200,000
music technology
8% jobs are in music technology industry. The Median Salary Range for these jobs is $185,000 - $200,000
Interior design and ecommerce
8% jobs are in Interior design and ecommerce industry. The Median Salary Range for these jobs is $160,000 - $190,000

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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🔥 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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🔥 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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🔥 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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🔥 (Senior to Principal) Machine Learning Solutions Architect

Posted 17 days ago

📍 United States, Canada

🧭 Full-Time

💸 225000.0 - 280000.0 USD per year

🔍 Software Development

🏢 Company: Gretel👥 51-100💰 $52,199,996 Series B over 3 years agoArtificial Intelligence (AI)Data Collection and Labeling Machine Learning Privacy Generative AI Information Technology Software

🔧 Requirements

5+ years of experience in a technical customer-facing role serving Enterprise customers and showcasing a track record of successful technical sales scoping, design, and implementation.
3+ years of experience working with modern machine learning frameworks and deep learning models, including fluency in Python, utilizing Colab or Jupyter notebooks, and working with open-source libraries, such as Pandas.
Experience working with data pipelines and orchestration / tooling for the modern data stack.
Previous hands on engineering experience in Data Engineering and MLOps.
Experience deploying ML models and required infrastructure set up, including Kubernetes (Amazon Elastic Kubernetes Service (EKS), Google Kubernetes Engine (GKE), and Azure Kubernetes Services (AKS)), containers, and CI/CD.
Exceptional presentation and communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
Ability to prioritize and manage multiple projects at once, across different customers with different use cases.
Willingness to travel occasionally (up to 20%) for customer meetings, conferences, and industry events, as needed.

💡 Responsibilities

Build custom prototypes and product demos utilizing Colab/Jupyter notebooks and Python libraries that highlight end-to-end operationalized use cases of Gretel.
Lead and support customers in identifying use cases, scoping, and, partnering with the broader team to ensure the successful deployment of solutions tailored to meet their specific business use cases.
Be the voice of the customer, communicating back experimental results and empirical experience gained from the field and critical for our internal applied science research.
Proactively identify opportunities in our product based on trends identified across customer needs, and build solutions to address these emerging patterns.
Conduct and guide research in the field, working with our most pioneering customers to advance what is possible with our platform.
Lead technical discovery during the sales lifecycle to deeply understand prospects’ ML and engineering requirements.
Partner with the account teams to differentiate proposed approaches versus open source and competitive solutions.
Stay up-to-date with industry trends, best practices, and advancements in generative AI, data privacy, and cloud infrastructure.
Exhibit a customer-focused mindset by prioritizing client needs, fostering strong relationships, and delivering exceptional service to ensure customer satisfaction and success.

Docker Python SQL AWS EKS Keras Kubernetes Machine Learning Numpy OpenCV PyTorch Algorithms Data engineering REST API Pandas Tensorflow Communication Skills Analytical Skills CI/CD Problem Solving Customer service Attention to detail Presentation skills Active listening Data visualization Data modeling

Posted 17 days ago

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🔥 (Senior to Principal) Applied Scientist

Posted 17 days ago

📍 United States, Canada

🧭 Full-Time

💸 180000.0 - 250000.0 USD per year

🔍 Software Development

🔧 Requirements

M.S. or PhD in Computer Science, related technical field, or equivalent practical experience.
3+ years of industry experience in building, training, and fine-tuning Machine Learning models, including defining, vetting, and iterating on metrics and running online controlled experiments (A/B testing, interleaving).
A track record of applied research in AI/ML, as demonstrated by leading research projects, conference presentations, in-depth blog posts, or first author publications.
Profound experience and understanding across advanced models, such as Transformers, LSTMs, GANs, CNNs, and diffusion models.
Extensive experience with ML frameworks such as TensorFlow, HuggingFace, PyTorch, Keras, OpenCV, Fairlearn, or MLflow and Python libraries like Pandas
Programming experience in Python and experience with Cloud providers such as AWS, GCP, and Azure
Builder Mindset - you’ve contributed to open source projects and/or have built your own model, tool, or product.
Excellent communication skills – you will interact with customers and/or assist with community-related events, so we’re extra mindful about verbal and written communication.

💡 Responsibilities

Explore new applications and techniques within language modeling and generative models for multiple modalities, improving synthetic tabular data generation algorithms, ethical/fair AI, and privacy enhancing technologies.
Actively collaborate with engineering, sales engineering/solutions architects, product, sales, and marketing as a part of the customer-feedback loop to better understand our end-users and use cases to design and build more effective and efficient solutions.
Research, design, and build end-to-end reusable, scalable solutions for our customers and users.
Partner with the sales engineering teams on building complex customer solutions; identify and escalate problems to engineering and support teams.
Plan, build, and facilitate industry-specific use cases, including content creation in the form of workshops, webinars, technical blogs, whitepapers and developer community engagement.
Stay abreast of developments in AI, actively sharing and trying out new approaches.
Mentor colleagues and promote a culture of knowledge sharing.

AWS Python Artificial Intelligence Cloud Computing Data Analysis Differential Equations GCP Git Image Processing Keras Machine Learning MLFlow Numpy OpenCV PyTorch Algorithms API testing Azure Data Structures REST API Pandas Tensorflow Communication Skills Analytical Skills Collaboration Attention to detail Excellent communication skills Research A/B testing

Posted 17 days ago

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🔥 Staff Machine Learning Engineer

Posted 25 days ago

📍 United States, Canada

💸 225000.0 - 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
3+ years in advanced algorithm design and analysis
Demonstrated ability to provide technical leadership, mentor team members, and drive consensus among diverse stakeholders.
Proficiency in Python, R, or Scala languages for data science
Experience with TensorFlow, Keras, or PyTorch for neural network modeling
Familiarity with model evaluation metrics and validation strategies
Ability to optimize machine learning models for performance
Proven track record of deploying machine learning models into production
Documented experience improving model scalability and efficiency
History of developing innovative solutions using machine learning
Excellent communication and presentation skills, with the ability to explain complex ideas clearly and concisely.
Proven ability to collaborate effectively in a cross-functional environment.

💡 Responsibilities

Design and develop advanced algorithms to address complex business challenges.
Research and implement cutting-edge machine learning models and techniques.
Optimize machine learning models to achieve faster speed and greater efficiency.
Evaluate machine learning models to ensure they deliver accurate and relevant results.
Provide technical guidance and mentor junior machine learning engineers.
Lead and collaborate with cross-functional teams to resolve complex data challenges effectively.

Python Keras Machine Learning Numpy PyTorch Algorithms Data science Tensorflow Software Engineering

Posted 25 days ago

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🔥 Senior Machine Learning Engineer - Canada remote

Posted 26 days ago

📍 Canada

🧭 Full-Time

💸 111800.0 - 167800.0 CAD per year

🔍 Healthcare

🏢 Company: League Inc.

🔧 Requirements

Experience with data science toolkits like scikit-learn, Keras and Tensorflow, including Python, R, and SQL
Experience working on advanced web applications, with preference given to those written in Go or similar languages
Experience working with Terraform or other IaC frameworks

💡 Responsibilities

Apply statistical techniques and machine learning to empower our product in the domain of health, wellness, and care navigation.
Build and deploy machine learning / artificial intelligence models to production, and integrate them into the League backend.
Work well in cross-functional teams and enjoys collaborating.

Backend Development Python SQL Cloud Computing Data Analysis Keras Kubeflow Machine Learning Airflow Data engineering Data science Go REST API Tensorflow Communication Skills Analytical Skills Problem Solving Terraform

Posted 26 days ago

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🔥 Senior Data Scientist, Forecasting

Posted about 1 month ago

📍 US

🧭 Full-Time

💸 170000.0 - 200000.0 USD per year

🔍 Mental health care

🏢 Company: BetterHelp👥 101-250 Internet Mental Health Therapeutics Wellness Health Care Health Diagnostics

🔧 Requirements

Master’s or Ph.D. in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field.
5+ years of experience in data science, with at least 3 years focused on forecasting or time series analysis.
Strong background in building and deploying machine learning models.
Proficiency in SQL, Python or R, with experience using relevant libraries.
Solid understanding of time series analysis techniques like ARIMA and machine learning methods like LSTM.
Strong communication skills to present technical findings to non-technical stakeholders.
Familiarity with financial metrics and KPIs is a bonus.

💡 Responsibilities

Develop and refine predictive models for financial forecasting.
Use time series analysis techniques to build models that predict financial metrics.
Integrate macroeconomic data to enhance forecasting accuracy.
Analyze historical financial data to identify trends and anomalies.
Collaborate with business leaders and create visualizations of insights.
Continuously improve forecasting models and scale them for deployment.
Mentor junior data scientists and contribute to research and development.

Python SQL Keras Machine Learning Numpy Pandas

Posted about 1 month ago

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🔥 Staff/Senior Machine Learning Engineer

Posted about 2 months ago

📍 USA, Europe

🧭 Full-Time

💸 167000.0 - 269000.0 USD per year

🔍 AI, cybersecurity, life sciences, financial services

🏢 Company: SandboxAQ👥 101-250💰 $25,000,000 Grant 4 months agoArtificial Intelligence (AI)SaaS Information Technology Cyber Security

🔧 Requirements

Proven experience working as an ML Engineer.
Experience with rapid prototyping for ML algorithms.
Familiarity with common ML tools such as TensorFlow, Keras, PyTorch.
Proficiency in programming languages like Python and C++.
At least 5 years of proven experience working as an ML Engineer (nice to have).
Experience with unsupervised learning and data visualization.
Experience with MLOps frameworks for large dataset processing.
Solid understanding of computer science, cryptography, and cybersecurity principles (nice to have).
Project management experience (nice to have).
Excellent communication skills and ability to work in a startup environment (nice to have).

💡 Responsibilities

Be the ML team tech lead, leading projects and influencing technical decisions.
Potentially manage the growth and career of ML team members.
Work with product and engineering teams to decide on ML functionalities.
Design, develop, and implement end-to-end machine learning solutions.
Collaborate with other ML and engineering team members for integration.
Analyze large-scale security data including network traces, filesystems, and logs.
Optimize and fine-tune machine learning models for performance.
Conduct research on ML advancements applied to cybersecurity.
Perform testing and validation of ML models for reliability.

Python Cybersecurity Data Analysis Keras Machine Learning PyTorch Data visualization

Posted about 2 months ago

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🔥 Senior Software Engineer II, ML Core (Remote)

Posted 3 months ago

📍 US, UK

🧭 Full-Time

💸 185000.0 - 200000.0 USD per year

🔍 Music technology

🔧 Requirements

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.

💡 Responsibilities

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 3 months ago

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Shown 10 out of 17

Keras Job Salaries

Median high-range salary for jobs requiring Keras:

Skills and Salary

Python

Machine Learning

PyTorch

Numpy

Algorithms

Tensorflow

Docker

AWS

SQL

Industries and Salary

Cybersecurity

AI, cybersecurity, life sciences, financial services

Data activation and SaaS

Software Development

Information Technology

Mental Health

Music technology

music technology

Interior design and ecommerce

Jobs