Kubeflow Job Salaries

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

Kubeflow

Median high-range salary for jobs requiring Kubeflow:

$245,000

This analysis is based on salary ranges collected from 10 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 $180,250 - $245,000

25% of job descriptions advertised a maximum salary above $293,750.
5% of job descriptions advertised a maximum salary above $322,000.

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 AWS, SQL and Python. 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.

AWS
60% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $180,250 - $252,500
- 25% of job descriptions advertised a maximum salary above $293,750.
- 5% of job descriptions advertised a maximum salary above $310,000.
SQL
30% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $185,500 - $250,000
- 25% of job descriptions advertised a maximum salary above $282,812.5.
- 5% of job descriptions advertised a maximum salary above $293,750.
Python
100% jobs mention Python as a required skill. The Median Salary Range for these jobs is $180,250 - $245,000
- 25% of job descriptions advertised a maximum salary above $293,750.
- 5% of job descriptions advertised a maximum salary above $322,000.
Machine Learning
80% jobs mention Machine Learning as a required skill. The Median Salary Range for these jobs is $180,250 - $245,000
- 25% of job descriptions advertised a maximum salary above $301,875.
- 5% of job descriptions advertised a maximum salary above $322,000.
Algorithms
40% jobs mention Algorithms as a required skill. The Median Salary Range for these jobs is $180,250 - $245,000
- 25% of job descriptions advertised a maximum salary above $271,875.
- 5% of job descriptions advertised a maximum salary above $293,750.
Kubernetes
70% jobs mention Kubernetes as a required skill. The Median Salary Range for these jobs is $175,000 - $230,000
- 25% of job descriptions advertised a maximum salary above $289,062.5.
- 5% of job descriptions advertised a maximum salary above $310,000.
MLFlow
40% jobs mention MLFlow as a required skill. The Median Salary Range for these jobs is $155,000 - $210,000
- 25% of job descriptions advertised a maximum salary above $256,875.
- 5% of job descriptions advertised a maximum salary above $293,750.
PyTorch
40% jobs mention PyTorch as a required skill. The Median Salary Range for these jobs is $155,000 - $210,000
- 25% of job descriptions advertised a maximum salary above $225,000.
- 5% of job descriptions advertised a maximum salary above $230,000.
Docker
30% jobs mention Docker as a required skill. The Median Salary Range for these jobs is $170,000 - $200,000
- 25% of job descriptions advertised a maximum salary above $270,312.5.
- 5% of job descriptions advertised a maximum salary above $293,750.

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 Technology, Internet Services, Fintech 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.

Technology, Internet Services
10% jobs are in Technology, Internet Services industry. The Median Salary Range for these jobs is $185,800 - $322,000
Fintech
10% jobs are in Fintech industry. The Median Salary Range for these jobs is $200,000 - $275,000
Software Development
40% jobs are in Software Development industry. The Median Salary Range for these jobs is $177,250 - $266,875
- 25% of job descriptions advertised a maximum salary above $301,875.
- 5% of job descriptions advertised a maximum salary above $310,000.
Healthcare
20% jobs are in Healthcare industry. The Median Salary Range for these jobs is $197,500 - $240,000
- 25% of job descriptions advertised a maximum salary above $250,000.
Retail AI
10% jobs are in Retail AI industry. The Median Salary Range for these jobs is $140,000 - $220,000
Healthcare technology
10% jobs are in Healthcare technology industry. The Median Salary Range for these jobs is $170,000 - $200,000

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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🔥 Sr. Machine Learning Researcher

Posted about 5 hours ago

📍 United States

🧭 Full-Time

💸 175000.0 - 230000.0 USD per year

🔍 Healthcare

🏢 Company: AKASA

🔧 Requirements

Proven experience training and fine-tuning large language models, with expertise in model architecture, optimization techniques, and performance evaluation.
Experience with modeling in the healthcare domain, clinical natural language understanding, and healthcare data and data standards (e.g., EDI, FHIR) is strongly preferred.
Ph.D. or equivalent industry experience in fields related to machine learning, natural language processing, computer vision, computer science, electrical engineering, statistics, mathematics, optimization, or data science, plus 2-3 years of experience.
Strong programming skills in Python, with proficiency in deep learning frameworks and tools such as PyTorch, TensorFlow, PyTorch Lightning, Hugging Face Transformers, and Kubernetes/Kubeflow, as well as experience with cloud platforms (AWS, GCP) and multi-GPU environments.
A track record of translating research into real-world applications, with experience in rapid prototyping, experimentation, and writing production-ready code.

💡 Responsibilities

Drive Applied Research: Lead the design, training, and evaluation of large language models to solve healthcare-specific challenges, advancing the state of the art in clinical Natural Language Understanding.
Leverage Human-in-the-Loop Feedback: Work closely with cross-functional teams to integrate Human-in-the-Loop data, using it to guide model improvements and explore new methods for optimizing performance.
Collaborate Across Teams: Partner with healthcare experts and other stakeholders to integrate qualitative insights, ensuring models align with real-world needs and deliver meaningful results.
Stay on the Cutting Edge: Regularly evaluate advancements in ML to determine their relevance to our work, maintaining AKASA’s leading edge in responsible, high-impact healthcare AI.
Contribute to Broader Impact: Publish and share research findings in the broader AI community, helping to advance healthcare applications of AI through peer-reviewed publications.

AWS Python Cloud Computing GCP Kubeflow Kubernetes Machine Learning Numpy PyTorch Algorithms Data science Data Structures REST API Tensorflow

Posted about 5 hours ago

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🔥 Staff Applied Scientist

Posted about 5 hours ago

📍 United States

🧭 Full-Time

💸 220000.0 - 250000.0 USD per year

🔍 Healthcare

🔧 Requirements

Master's degree in a quantitative field, such as Mathematics, Computer Science, Accounting, Engineering, or Economics.
12 years or more of experience as an Applied Scientist, Data Scientist, Machine Learning Engineer, or similar role.
Demonstrated experience developing machine learning models with business impact, and shipping ML/AI solutions to production.
Demonstrated experience with NLP, LLMs, Generative AI, and/or Reinforcement Learning.
Strong programming background in Python, high level of proficiency in SQL and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.
Strong written and verbal communication skills with the ability to inform and influence a non-technical audience using insights found through complex technical concepts.
Strong analytical and critical thinking skills with a strong bias toward actionable insights; love finding insights and getting others to act on them.
Expertise using project management fundamentals and applying data-based prioritization and trade-off decision making

💡 Responsibilities

Be a thought leader in the ML space and continue to identify opportunities to build intelligence and automate prescription processing while maintaining industry leading patient safety standards
Design, develop, deploy, and maintain statistical and machine learning solutions leveraging NLP, generative AI, and reinforcement learning
Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models
Collaborate closely with product managers, software engineers, data scientists, and pharmacists to deeply understand Alto’s business needs and create impactful ML applications
Communicate complex technical concepts to non-technical stakeholders.
Mentor applied scientists & data scientists and contribute to the development of best practices within the Data Science team.

Project Management Python SQL Kubeflow Machine Learning Project Coordination Algorithms Data science Data Structures Communication Skills Analytical Skills Data visualization

Posted about 5 hours ago

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🔥 Senior Staff Software Engineer, Backend (ML Platform)

Posted 2 days ago

📍 United States

🧭 Full-Time

💸 232000.0 - 310000.0 USD per year

🔍 Software Development

🔧 Requirements

10+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
Strong experience leading multiple engineering teams to deliver high quality software
Track record of successfully leading engineering teams at both rapidly scaling startups and complex larger technology companies.
Expertise in synthesizing complex technical requirements, designs, trade-offs, and capabilities into clear decisions to influence ML & engineering direction
Extensive experience developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes.
Experience building and operating online, real-time ML infrastructure including a model server and a feature store
Experience developing an offline environment for large scale data analysis and model training using technologies including Spark, Kubeflow, Ray, and Airflow
Experience delivering major features and system components

💡 Responsibilities

Set the multi-year, multi-team technical strategy for ML Platform and deliver it through direct implementation or broad technical leadership
Partner with technical leaders across the company to create joint roadmaps that will achieve business impacting goals through the advancement of machine learning
Act as a force-multiplier for your teams through your definition and advocacy of technical solutions and operational processes
You have an ownership mindset, and you will proactively champion investments in availability so that every project in your area achieves its availability targets
You will foster a culture of quality and ownership on your team by setting system design standards for your team, and advocating for them beyond your team through your writing and tech talks
You will help develop talent on your team by providing feedback and guidance, and leading by example

AWS Backend Development Leadership Project Management Python Apache Airflow Data Analysis Kotlin Kubeflow Kubernetes Machine Learning MySQL Software Architecture Cross-functional Team Leadership Data engineering Spark Communication Skills RESTful APIs DevOps

Posted 2 days ago

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🔥 Lead Machine Learning Infrastructure Engineer - Infrastructure & Data

Posted 9 days ago

📍 United States

🧭 Full-Time

💸 185500.0 - 293750.0 USD per year

🔍 Software Development

🏢 Company: Upwork👥 501-1000💰 about 8 years ago🫂 Last layoff almost 2 years agoMarketplace Freelance Copywriting Peer to Peer

🔧 Requirements

Strong technical expertise in designing and building scalable ML infrastructure.
Experience with distributed systems and cloud-based ML platforms.
Proficiency in programming languages such as Python, Java, or Scala.
Deep understanding of ML workflows, including data pipelines, model training, and deployment.
Passion for innovation and eagerness to implement the latest advancements in ML infrastructure.
Strong problem-solving skills and ability to optimize complex systems for performance and reliability.
Collaborative mindset with excellent communication skills to work across teams.
Ability to thrive in a fast-paced, dynamic environment with evolving technical challenges.

💡 Responsibilities

Design, implement, and optimize distributed systems and infrastructure components to support large-scale machine learning workflows, including data ingestion, feature engineering, model training, and serving.
Develop and maintain frameworks, libraries, and tools that streamline the end-to-end machine learning lifecycle, from data preparation and experimentation to model deployment and monitoring.
Architect and implement highly available, fault-tolerant, and secure systems that meet the performance and scalability requirements of production machine learning workloads.
Collaborate with machine learning researchers and data scientists to understand their requirements and translate them into scalable and efficient software solutions.
Stay current with advancements in machine learning infrastructure, distributed computing, and cloud technologies, integrating them into our platform to drive innovation.
Mentor junior engineers, conduct code reviews, and uphold engineering best practices to ensure the delivery of high-quality software solutions.

AWS Docker Leadership Python Software Development SQL Cloud Computing Java Kubeflow Kubernetes Machine Learning MLFlow Algorithms Data engineering Data Structures REST API Collaboration CI/CD Problem Solving Mentoring Linux DevOps Terraform Excellent communication skills Scala Data modeling

Posted 9 days ago

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🔥 Machine Learning Engineer

Posted 17 days ago

📍 United States

🧭 Full-Time

💸 140000.0 - 180000.0 USD per year

🔍 Software Development

🏢 Company: NobleAI👥 11-50💰 $17,677,000 Series A almost 2 years agoArtificial Intelligence (AI)Oil and Gas Sustainability Chemical Machine Learning Battery Advanced Materials Enterprise Software Consumer Goods Software

🔧 Requirements

MSc Degree in Computer Science or a related field
Understanding of machine learning algorithms and techniques
3+ years of experience in building and deploying ML systems
3+ years of experience working with Python and MLOps tools, including Docker, Kubernetes, KubeFlow, TensorFlow, PyTorch, Sagemaker, MLFlow
2+ years of cloud experience (AWS or Azure ML Platforms)
3+ years of experience in Software Engineering practices such as version control, testing, DevOps (build pipelines, CI/CD), and Python package management

💡 Responsibilities

Design, build, and maintain scalable and resilient MLOPS architecture and code across our platform codebase, Kubernetes/KServe, AWS, and Azure
Collaborate with Research Scientists and DevOps Engineers to deploy custom models on the platform or as independent services
Help debug and resolve issues with model or service performance
Provide oversight/guidance and templates for Research Scientists to self-serve ML deployments for non-production needs
Deploy data assets and pipelines for model inference endpoints

AWS Docker Python Kubeflow Kubernetes MLFlow PyTorch Azure Tensorflow CI/CD

Posted 17 days ago

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🔥 AI Generalist Subject Matter Expert (SME) and Instructor (Contract)

Posted 18 days ago

📍 United States, Canada, United Kingdom, Australia, Singapore

🧭 Contract

💸 70.0 - 100.0 USD per hour

🔍 Education

🏢 Company: General Assembly

🔧 Requirements

2+ years of professional experience in relevant fields
Experience mentoring, coaching, or teaching others
Ability to translate complex topics into accessible learning experiences

💡 Responsibilities

Participate in pre-sale meetings and prepare tailored materials
Curate and design learning content aligned with industry needs
Facilitate engaging learning environments and guide students

AWS Apache Airflow Artificial Intelligence Kubeflow Machine Learning PyTorch Azure FastAPI Tensorflow

Posted 18 days ago

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🔥 Senior Machine Learning Engineer (Portfolio ML)

Posted about 1 month ago

📍 United States

💸 169000.0 - 240000.0 USD per year

🔍 Software Development

🏢 Company: Affirm👥 1001-5000💰 Post-IPO Equity about 4 years ago🫂 Last layoff about 2 years agoLending Financial Services Payments FinTech

🔧 Requirements

Proficiency in machine learning with experience in areas such as Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration. Domain knowledge in credit risk, portfolio management, learning to rank, and personalization is a plus
Strong engineering skills in Python and data manipulation skills like SQL
Experience using distributed systems like Spark or Ray is a plus
Experience using open source projects and software such as scikit-learn, pandas, NumPy, XGBoost, Kubeflow
Excellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teams
The ability to present technical concepts and results in an audience-appropriate way
Persistence, patience and a strong sense of responsibility – we build the decision making that enables consumers and partners to place their trust in Affirm!

💡 Responsibilities

Use Affirm’s proprietary and other third party data to develop machine learning models that manage and optimize the flow of loan opportunities across Affirm-owned and -operated properties
Partner with platform and product engineering teams to build model training, decisioning, and monitoring systems
Research ground breaking solutions and develop prototypes that drive the future of portfolio decisioning at Affirm
Implement and scale data pipelines, new features, and algorithms that are essential to our production models
Collaborate with the engineering, credit, and product teams to define requirements for new products

Python SQL Kubeflow Machine Learning Numpy Algorithms Pandas Spark Communication Skills Analytical Skills

Posted about 1 month ago

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🔥 Senior Machine Learning Engineer - Canada remote

Posted about 1 month ago

📍 Canada

🧭 Full-Time

💸 111800.0 - 167800.0 CAD per year

🔍 Healthcare

🏢 Company: League Inc.

🔧 Requirements

Strong analytical and data science skills
Deep 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
Work as part of a small multi-disciplinary team to 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 about 1 month ago

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🔥 Staff Machine Learning Engineer

Posted about 2 months ago

📍 Canada, Latin America, Alabama, Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Indiana, Massachusetts, Minnesota, Nevada, New Jersey, New York, North Carolina, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Virginia, Washington

💸 140000.0 - 220000.0 USD per year

🔍 Retail AI

🏢 Company: Lily AI

🔧 Requirements

10+ years in building large-scale machine learning solutions and ML Ops practices.
Working with LLM APIs and serving LLMs in-house at scale.
Proficiency in Kubernetes, RDBMS, and API-driven development.
Experience in model serving in low-latency, high-throughput use cases.
Knowledge of observability, data pipeline design, service scaling, and cost optimization.
Strong emphasis on code hygiene, including review, documentation, testing, and CI/CD practices.
Proficiency in Python and PyTorch.
Extensive experience with the scientific Python ecosystem.
Proficiency in cloud-native application development.
Action-oriented with the ability to articulate complex concepts.

💡 Responsibilities

Define, design, and maintain scalable Machine Learning data pipelines, training infrastructure, and inference systems.
Optimize, benchmark, and productionize deep learning models to extract high-value product attributes.
Drive cost efficiency and throughput improvements, owning relevant KPIs.
Promote and implement software engineering best practices across the team.
Shape and evolve the technical stack to meet business and technical needs.
Transition research prototypes into robust, production-ready systems.
Deploy, monitor, and continuously improve models in production environments.
Optimize model performance, focusing on memory usage and latency.
Automate workflows by building efficient pipelines and orchestration frameworks.
Develop tools and shared libraries to boost team productivity.

Python Kubeflow Kubernetes Machine Learning MLFlow PyTorch Azure

Posted about 2 months ago

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🔥 Machine Learning Engineer, Search (multiple levels)

Posted about 2 months ago

📍 United States

🧭 Full-Time

💸 185800.0 - 322000.0 USD per year

🔍 Technology, Internet Services

🏢 Company: Reddit👥 1001-5000💰 $410,000,000 Series F over 3 years ago🫂 Last layoff almost 2 years agoNews Content Social Network Social Media

🔧 Requirements

3-10+ years of industry experience as a machine learning engineer or software engineer developing backend/infrastructure at scale.
Experience building machine learning models using PyTorch or Tensorflow.
Experience with search & recommender systems and pipelines.
Production-quality code experience with testing, evaluation, and monitoring using Python and Golang.
Familiarity with GraphQL, REST, HTTP, Thrift, or gRPC and design of APIs.
Experience developing applications with large scale data stacks such as Kubeflow, Airflow, BigQuery, Kafka, Redis.

💡 Responsibilities

Develop and enhance Search Retrievals and Ranking models.
Design and build pipelines and algorithms for user answers.
Collaborate with product managers, data scientists, and platform engineers.
Develop and test new pipeline components and deploy ML models.
Ensure high uptime and low latency for search systems.

GraphQL Python Kafka Kubeflow Machine Learning PyTorch Airflow Redis Tensorflow

Posted about 2 months ago

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Shown 10 out of 12

Kubeflow Job Salaries

Median high-range salary for jobs requiring Kubeflow:

Skills and Salary

AWS

SQL

Python

Machine Learning

Algorithms

Kubernetes

MLFlow

PyTorch

Docker

Industries and Salary

Technology, Internet Services

Fintech

Software Development

Healthcare

Retail AI

Healthcare technology

Jobs