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:

$244,500

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 $197,000 - $244,500

  • 25% of job descriptions advertised a maximum salary above $290,500.
  • 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 Airflow, Spark 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.

  1. Airflow

    50% jobs mention Airflow as a required skill. The Median Salary Range for these jobs is $217,000 - $290,500

    • 25% of job descriptions advertised a maximum salary above $322,000.
  2. Spark

    50% jobs mention Spark as a required skill. The Median Salary Range for these jobs is $217,000 - $290,500

    • 25% of job descriptions advertised a maximum salary above $322,000.
  3. Machine Learning

    50% jobs mention Machine Learning as a required skill. The Median Salary Range for these jobs is $172,500 - $251,000

    • 25% of job descriptions advertised a maximum salary above $322,000.
  4. PyTorch

    50% jobs mention PyTorch as a required skill. The Median Salary Range for these jobs is $172,500 - $251,000

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

    50% jobs mention Tensorflow as a required skill. The Median Salary Range for these jobs is $172,500 - $251,000

    • 25% of job descriptions advertised a maximum salary above $322,000.
  6. Kubernetes

    75% jobs mention Kubernetes as a required skill. The Median Salary Range for these jobs is $190,000 - $230,000

    • 25% of job descriptions advertised a maximum salary above $251,750.
    • 5% of job descriptions advertised a maximum salary above $259,000.
  7. AWS

    25% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $190,000 - $230,000

  8. Python

    50% jobs mention Python as a required skill. The Median Salary Range for these jobs is $152,500 - $205,000

    • 25% of job descriptions advertised a maximum salary above $230,000.
  9. Terraform

    50% jobs mention Terraform as a required skill. The Median Salary Range for these jobs is $152,500 - $205,000

    • 25% of job descriptions advertised a maximum salary above $230,000.

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 Technology, Advertising, Technology and Mining technology, mineral exploration. 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.

  1. Technology, Advertising

    25% jobs are in Technology, Advertising industry. The Median Salary Range for these jobs is $230,000 - $322,000

  2. Technology

    25% jobs are in Technology industry. The Median Salary Range for these jobs is $204,000 - $259,000

  3. Mining technology, mineral exploration

    25% jobs are in Mining technology, mineral exploration industry. The Median Salary Range for these jobs is $190,000 - $230,000

  4. AI cloud infrastructure

    25% jobs are in AI cloud infrastructure industry. The Median Salary Range for these jobs is $115,000 - $180,000

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

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

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

Apply

📍 United States, United Kingdom, Canada

🧭 Full-Time

💸 190000.0 - 230000.0 USD per year

🔍 Mining technology, mineral exploration

🏢 Company: KoBold Metals👥 101-250💰 $491,455,627 Series C 3 months agoArtificial Intelligence (AI)MineralMiningSoftware

  • 5+ years of experience in software engineering focused on cloud infrastructure management and cybersecurity.
  • 2+ years of leadership experience managing technical teams.
  • Expertise in Python and cloud system deployment on AWS, GCP, or Azure using infrastructure-as-code tools.
  • Experience with Kubernetes and monitored deployments.
  • Knowledge of secure, scalable data management systems.
  • Experience with machine learning model deployment.

  • Understand cloud technology uses for infrastructure decision-making.
  • Build interdisciplinary relationships to tailor infrastructure engineering.
  • Implement and maintain scalable, secure cloud-based systems.
  • Oversee IT team including hardware, network, and software licenses.
  • Enhance cybersecurity measures.
  • Lead working cadence and planning processes.

AWSPythonCybersecurityKubeflowKubernetesTerraform

Posted 5 days ago
Apply
Apply

📍 USA

💸 115000.0 - 180000.0 USD per year

🔍 AI cloud infrastructure

  • 5+ years of experience as a cloud solutions architect, system/network engineer, developer, or similar technical role, focused on cloud computing.
  • Strong hands-on experience with Infrastructure as Code (IaC) and configuration management tools, preferably Terraform/Ansible.
  • Proficient in Kubernetes and coding skills in Python.
  • Solid understanding of GPU computing practices for ML training and inference workloads.
  • Familiarity with GPU software stack components, including drivers and libraries like CUDA and OpenCL.
  • Excellent communication skills and a customer-centric mindset.
  • Fluent in English.

  • Act as a trusted advisor to clients, providing technical expertise and guidance.
  • Conduct Proof of Concepts, workshops, presentations, and training sessions on GPU cloud technologies.
  • Collaborate with clients to understand their business needs and develop solution architectures.
  • Design and document Infrastructure as code solutions.
  • Help optimize pipeline performance and scalability for efficient cloud resource utilization.
  • Act as a single point of expertise for product, technical support, and marketing teams.

PythonCloud ComputingKubeflowKubernetesMachine LearningPyTorchTensorflowTerraformAnsible

Posted 7 days ago
Apply
Apply

📍 USA

🧭 Full-Time

💸 $204,000 - $259,000 per year

🔍 Technology

🏢 Company: Airbnb👥 5001-10000💰 Secondary Market over 4 years ago🫂 Last layoff almost 2 years agoHospitalityTravel AccommodationsPropTechMarketplaceMobile AppsTravel

  • Proven track record of 5+ years in management and technical leadership.
  • Experience in Data Engineering, Data Infrastructure, and Software Engineering disciplines as an individual contributor.
  • Experience in building data applications aggregating complex data operations.
  • Proficiency in working with data storage and distributed processing technologies.
  • Strong familiarity with software engineering principles and best practices.
  • Experienced in data modeling, database design, and SQL dialects.
  • Proficiency in containerization technologies like Docker and Kubernetes.
  • Background in workflow orchestration solutions including Apache Airflow or similar.
  • Excellent communication skills and strong analytical problem-solving skills.

  • Run the Data Engineering Paved Path team to design and develop reliable, scalable, secure, and user-friendly frameworks.
  • Work with cross-functional data producers & consumer teams to develop data applications, tools, and frameworks.
  • Deliver high-performance frameworks that support the production of central datasets.
  • Mentor and provide guidance to junior and senior engineers.
  • Collaborate with Data Infrastructure Engineers, Data Engineers, Data Scientists, and Product Managers.
  • Develop and maintain automation tools to streamline the deployment and management of the platform.
  • Design and implement frameworks for processing data at scale.

DockerLeadershipSoftware DevelopmentSQLApache AirflowDesign PatternsKubeflowKubernetesAirflowData engineeringSparkCommunication SkillsSoftware Engineering

Posted 3 months ago
Apply
Apply

📍 United States, Canada

🧭 Full-Time

💸 230000 - 322000 USD per year

🔍 Technology, Advertising

  • Tech lead experience in a product ML team driving research and technical direction to improve business outcomes.
  • Experience with ads retrieval modeling, ranking, or recommendation systems.
  • Proficient in deep learning models for retrieval, including two tower models, GNNs, transformers, and LLMs.
  • 5+ years of end-to-end experience training, evaluating, testing, and deploying machine learning models.
  • 2+ years of experience building ML models using TensorFlow or PyTorch.
  • Familiarity with large scale data processing and pipeline orchestration tools such as Spark, Dataflow, Kubeflow, Airflow, and BigQuery.
  • Experience with nearest-neighbor search systems is a plus.
  • Ability to work with cross-functional stakeholders.

  • Own end-to-end design and execution of ML-based targeting products like auto targeting and user lookalikes.
  • Drive research direction and technical roadmap for complex projects and lead day-to-day project execution.
  • Collaborate with product managers and cross-functional partners to develop and prioritize the roadmap.
  • Research, implement, test, and launch new model architectures for retrieval using deep learning.
  • Mentor junior machine learning engineers.
  • Conduct offline and online experimentation of ML models.
  • Work on large-scale data systems and product integration.

Data AnalysisKubeflowMachine LearningPyTorchStrategyAirflowSparkTensorflow

Posted 4 months ago
Apply