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Senior Automl Jobs (NOW HIRING)

Jobtailor

Senior Lead AI Engineer - MLXT

California, MO · On-site

$150 - $230/hr

Drive AutoML Innovation: Scale enterprise-grade managed AutoML offerings for tabular and time-series data to radically reduce solution time-to-market from weeks to days. * Engineer AI-Driven Controls:

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Capital One

Senior Lead AI Engineer (MLXT)

Mclean, VA · On-site

Senior Lead AI Engineer (MLXT) Overview: At Capital One, we are creating responsible and reliable ... Drive AutoML Innovation: Scale enterprise-grade managed AutoML offerings for tabular and time ...

Capital One Group

Senior Lead AI Engineer (MLXT)

Mclean, VA · On-site

$229.90 - $262.40/hr

## Senior Lead AI Engineer (MLXT)Applylocations: McLean, VA: San Francisco, CA: Cambridge, MA: San ... Drive AutoML Innovation: Scale enterprise-grade managed AutoML offerings for tabular and time ...

Davita Inc.

AI Technical Sr Lead (IT)

Denver, CO · On-site

... Senior Technical Lead General Purpose of the Job We are seeking a highly skilled Senior AI Tech ... Familiarity in using AutoML platforms such as Vertex AI AutoML, DataRabot and Open-source platforms ...

DaVita Inc.

AI Technical Sr Lead (IT)

Denver, CO · On-site

... Senior Technical Lead General Purpose of the Job We are seeking a highly skilled Senior AI Tech ... Familiarity in using AutoML platforms such as Vertex AI AutoML, DataRabot and Open-source platforms ...

DaVita, Inc.

AI Technical Sr Lead (IT)

Denver, CO · On-site +1

... Senior Technical Lead General Purpose of the Job We are seeking a highly skilled Senior AI Tech ... Familiarity in using AutoML platforms such as Vertex AI AutoML, DataRabot and Open-source platforms ...

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As of Aug 18, 2026, the average yearly pay for senior automl in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

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Senior Lead AI Engineer - MLXT

Jobtailor

California, MO • On-site

$150 - $230/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description


  • Modernize Workflows: Advance the orchestration layer and UI with generative AI capabilities and self-serve tooling to democratize AI development through governed, low-code/no-code tools for business domain experts.

  • Build Agentic-Driven Infrastructure: Modernize our platform services with agentic infrastructure that is reliable, scalable, secure, and seamlessly adheres to enterprise guardrails.

  • Drive AutoML Innovation: Scale enterprise-grade managed AutoML offerings for tabular and time-series data to radically reduce solution time-to-market from weeks to days.

  • Engineer AI-Driven Controls: Evolve the core component marketplace by engineering cutting-edge, automated governance frameworks.


Requirements

  • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies

  • At least 6 years of experience programming with Python, Go, Scala, or Java

  • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)

  • Experience designing, developing, integrating, delivering, and supporting complex AI systems

  • Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders

  • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang

  • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost

  • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers.


Core Competencies

Expertise in developing and deploying AI and ML algorithms, with a strong focus on scalable solutions and cloud platforms. Proven ability to lead engineering teams and communicate complex AI concepts effectively.


Highest-signal resume keywords

  • AI And ML Algorithm Development

  • Cloud Platform Deployment (AWS, Google Cloud, Azure)

  • Python Programming

  • Team Leadership And Mentoring

  • AutoML Innovation


ATS Optimization Keywords
Hard Skills

  • AI Algorithm Development

  • ML Algorithm Development

  • Python Programming

  • Go Programming

  • Scala Programming

  • Java Programming

  • C++ Programming

  • C# Programming

  • AutoML Techniques

  • Optimizing Training And Inference Software


Soft Skills

  • Excellent Communication Skills

  • Presentation Skills


Industry Keywords

  • AI Development

  • ML Development

  • Scalable AI Solutions

  • Complex AI Systems

  • Enterprise Guardrails


Tools & Technologies

  • Cloud Platforms

  • Low-Code/No-Code Tools

  • Generative AI Capabilities

  • Agentic Infrastructure

  • Automated Governance Frameworks

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