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:

$266,875

This analysis is based on salary ranges collected from 4 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 $177,250 - $266,875

25% of job descriptions advertised a maximum salary above $307,875.
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, Docker 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.

AWS
25% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $185,500 - $293,750
Docker
25% jobs mention Docker as a required skill. The Median Salary Range for these jobs is $185,500 - $293,750
PyTorch
50% jobs mention PyTorch as a required skill. The Median Salary Range for these jobs is $162,900 - $271,000
- 25% of job descriptions advertised a maximum salary above $322,000.
Python
100% jobs mention Python as a required skill. The Median Salary Range for these jobs is $177,250 - $266,875
- 25% of job descriptions advertised a maximum salary above $307,875.
- 5% of job descriptions advertised a maximum salary above $322,000.
Machine Learning
100% jobs mention Machine Learning as a required skill. The Median Salary Range for these jobs is $177,250 - $266,875
- 25% of job descriptions advertised a maximum salary above $307,875.
- 5% of job descriptions advertised a maximum salary above $322,000.
SQL
50% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $177,250 - $266,875
- 25% of job descriptions advertised a maximum salary above $293,750.
Algorithms
50% jobs mention Algorithms as a required skill. The Median Salary Range for these jobs is $177,250 - $266,875
- 25% of job descriptions advertised a maximum salary above $293,750.
Kubernetes
50% jobs mention Kubernetes as a required skill. The Median Salary Range for these jobs is $162,750 - $256,875
- 25% of job descriptions advertised a maximum salary above $293,750.
MLFlow
50% jobs mention MLFlow as a required skill. The Median Salary Range for these jobs is $162,750 - $256,875
- 25% 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, Software Development and Retail AI. 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
25% jobs are in Technology, Internet Services industry. The Median Salary Range for these jobs is $185,800 - $322,000
Software Development
50% 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 $293,750.
Retail AI
25% jobs are in Retail AI industry. The Median Salary Range for these jobs is $140,000 - $220,000

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

5 jobs found. to receive daily emails with new job openings that match your preferences.

5 jobs found.

Set alerts to receive daily emails with new job openings that match your preferences.

Apply

🔥 Lead Machine Learning Infrastructure Engineer - Infrastructure & Data

Posted 3 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 3 days ago

Apply

🔥 Senior Machine Learning Engineer (Portfolio ML)

Posted 24 days 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 24 days ago

Apply

🔥 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

Apply

🔥 Staff Machine Learning Engineer

Posted about 1 month 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 1 month ago

Apply

🔥 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

Apply