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Sr Machine Learning Engineer

Disney Experiences

Orlando, Florida • Today

Full-time

Sr Machine Learning Engineer

Disney Entertainment and ESPN Product & Technology

Seattle, Washington • Today

Full-time

Sr Machine Learning Engineer

Disney Entertainment and ESPN Product & Technology

Santa Monica, California • Today

Full-time

Senior Machine Learning Engineer - Disney Streaming

Disney Entertainment and ESPN Product & Technology

New York, New York • Today

Full-time

ML Engineer (Machine Learning)

Dexian DISYS

Remote or Hybrid • Today

Easy Apply

Contract

$45 - $50 per hour

Sr. Principal Machine Learning Engineer

PaloAlto Networks

California • Today

Full-time

USD 183,600.00 - 297,000.00 per year

Staff Machine Learning Engineer, End-to-End Autonomy

Rivian

Palo Alto, California • Today

Full-time

USD 243,000.00 - 304,800.00 per year

Senior/Staff ML Engineer, ML Acceleration and Performance

Rivian

Palo Alto, California • Today

Full-time

USD 228,000.00 - 285,000.00 per year

Staff ML Engineer, Perception Scene Understanding

Rivian

Palo Alto, California • Today

Full-time

USD 228,000.00 - 285,000.00 per year

AI / ML Engineer

Karwell Technologies Inc

Plano, Texas • Today

Easy Apply

Full-time

$85,000 - $90,000

Machine Learning Engineer II

The Coca-Cola Company

Atlanta, Georgia • Today

Full-time

Sr. Staff ML Engineer, Model Pre-training, Autonomy

Rivian

Palo Alto, California • Today

Full-time

USD 265,000.00 - 331,000.00 per year

Staff ML Engineer, Perception: Auto-labeling

Rivian

Palo Alto, California • Today

Full-time

USD 228,000.00 - 285,000.00 per year

Senior Machine Learning Engineer

Capital One

McLean, Virginia • Today

Full-time

Lead Machine Learning Engineer

Capital One

Plano, Texas • Today

Full-time

Lead Machine Learning Engineer

Capital One

McLean, Virginia • Today

Full-time

Lead Machine Learning Engineer

Capital One

Richmond, Virginia • Today

Full-time

Machine Learning Engineer

Booz Allen Hamilton

Arlington, Virginia • Today

Full-time

USD 77,600.00 - 176,000.00 per year

Sr. Lead Machine Learning Engineer

Capital One

Richmond, Virginia • 15d ago

Full-time

Senior ML Engineer, Perception: Auto-labeling

Rivian

Palo Alto, California • Today

Full-time

USD 179,000.00 - 223,000.00 per year

Sr. Lead Machine Learning Engineer

Capital One

McLean, Virginia • Today

Full-time

Sr Lead Machine Learning Engineer

Capital One

McLean, Virginia • Today

Full-time

AI and ML Engineer

Booz Allen Hamilton

Hybrid in Lorton, Virginia • Today

Full-time

USD 77,600.00 - 176,000.00 per year

Senior Machine Learning Engineer (MLOPS)

The Coca-Cola Company

Atlanta, Georgia • Today

Full-time

Lead Machine Learning Engineer (Enterprise Platforms Technology)

Capital One

McLean, Virginia • Today

Full-time

Senior Machine Learning Engineer

Motion Recruitment Partners, LLC

Toronto, Ontario • Today

Easy Apply

Full-time

$150000 - $250000

Machine Learning Engineer

Booz Allen Hamilton

Arlington, Virginia • Today

Full-time

USD 77,600.00 - 176,000.00 per year

Lead Machine Learning Engineer (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)

Capital One

McLean, Virginia • Today

Full-time

Machine Learning Engineer

Booz Allen Hamilton

Aurora, Colorado • Today

Full-time

USD 77,600.00 - 176,000.00 per year

Senior Machine Learning Engineer

Motion Recruitment Partners, LLC

Toronto, Ontario • Today

Easy Apply

Full-time

$150000 - $200000

Job Details

Skills

SPA
Scalability
Reporting
Backbone.js
Data Quality
Workflow
Testing
Evaluation
Large Language Models (LLMs)
Regulatory Compliance
Automated Testing
IT Management
Quality Assurance
IT Strategy
Clarity
Problem Solving
Conflict Resolution
Apache Velocity
Innovation
Research
Machine Learning Operations (ML Ops)
Continuous Integration
Continuous Delivery
Lifecycle Management
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
Cloud Computing
Python
Statistical Models
Management
Unsupervised Learning
Algorithms
Prompt Engineering
Optimization
Regression Analysis
Clustering
Deep Learning
Generative Artificial Intelligence (AI)
Analytical Skill
Communication
Leadership
Collaboration
Relationship Building
Orchestration
Docker
Kubernetes
Terraform
Vector Databases
Artificial Intelligence
Machine Learning (ML)
Science
Computer Science
Information Systems
Electrical Engineering
Electronic Engineering

SPA
Scalability
Reporting
Backbone.js
Data Quality
Workflow
Testing
Evaluation
Large Language Models (LLMs)
Regulatory Compliance
Automated Testing
IT Management
Quality Assurance
IT Strategy
Clarity
Problem Solving
Conflict Resolution
Apache Velocity
Innovation
Research
Machine Learning Operations (ML Ops)
Continuous Integration
Continuous Delivery
Lifecycle Management
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
Cloud Computing
Python
Statistical Models
Management
Unsupervised Learning
Algorithms
Prompt Engineering
Optimization
Regression Analysis
Clustering
Deep Learning
Generative Artificial Intelligence (AI)
Analytical Skill
Communication
Leadership
Collaboration
Relationship Building
Orchestration
Docker
Kubernetes
Terraform
Vector Databases
Artificial Intelligence
Machine Learning (ML)
Science
Computer Science
Information Systems
Electrical Engineering
Electronic Engineering

Summary

Job Summary:

At Disney Experiences Technology, our team creates world-class immersive digital experiences for the Company?s premier vacation brands including Disney?s Parks & Resorts worldwide, Disney Cruise Line, Aulani, A Disney Resort & Spa, and Disney Vacation Club. The Disney Experiences Technology team is responsible for the end-to-end digital and physical Guest experience for all technology & digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation, and Merchandise lines of business as well as other initiatives including the MyDisneyExperience app and Hey, Disney!

The team is seeking a results-oriented and hands-on?Senior Machine Learning Engineer?to design, develop, and deploy high-impact AI/ML solutions that drive measurable business value across our entertainment company. In this role, you will Senior complex, cross-functional projects with a strong emphasis on reuse, scalability, reliability, and performance.

The Senior ML Engineer will report to the ML Engineering Manager.

This position is in office.

About The Role & Team:

The DXT AI Technology Platform team is responsible for building an AI enablement platform for the DX segment that provides streamlined AI & Generative AI capabilities for the segment to build solutions around and on top of.? The Senior Machine Learning Engineer will design, develop, implement enterprise grade and robust AI/ML solutions, including agentic systems, multi-modal models, RAG, and Responsible AI applications.

What You\'ll Do:

Own the operational backbone of the AI/ML platform ? design and run the CI/CD pipelines, model/agent versioning, automated deployment, rollback, and release management that move systems from experimentation to production reliably and repeatably.

Stand up comprehensive observability and monitoring infrastructure ? model/agent performance, drift, data quality, latency, cost, and reliability ? with alerting and automated remediation where possible.

Develop production-scale AI systems, including multi-step agentic workflows and multi-agent orchestration platforms, and operationalize them end to end.

Drive complete ownership of the AI/ML lifecycle ? implementation, testing, deployment, and continuous operational monitoring ? delivering projects on schedule and to specification.

Design and implement Responsible AI frameworks ? hallucination detection, safety guardrails, evaluation systems, and observability ? to ensure model reliability, accuracy, and ethical deployment.

Establish evaluation frameworks for Large Language Models and agent-based systems, measuring model quality, task success rates, safety compliance, and operational effectiveness.

Champion LLMOps and MLOps best practices ? infrastructure-as-code, reproducibility, automated testing, and environment parity ? across the platform.

Partner strategically with cross-functional stakeholders including product managers, data scientists, application teams, vendors, and partners to align on requirements, iterate on solutions, and deliver successful outcomes.

Provide hands-on technical leadership, driving architectural decisions across AI development, LLMOps, quality assurance, and production deployment.

Proactively identify and resolve technical blockers that could impact project timelines or deliverables.

Communicate technical strategy and progress to executive leadership and key stakeholders with clarity and confidence.

Engage directly in development and problem-solving on high-complexity technical challenges to maintain project velocity and quality.

Drive innovation through research and experimentation with emerging AI technologies and frameworks, evaluating and integrating new capabilities that advance our platform.

Basic Qualifications:

5+ years of proven expertise in designing, building, and deploying AI/ML solutions at scale, with 1?2 years of production experience in Generative AI technologies.

Comprehensive MLOps/LLMOps experience with hands-on implementation of CI/CD pipelines, model and agent monitoring, versioning, observability, and lifecycle management in production.

Production deployment experience on major cloud platforms (AWS, Azure, or Google Cloud Platform) with a demonstrated ability to architect, scale, and operate cloud-native ML solutions.

Expert-level programming proficiency in Python and AI/ML development ecosystems.

Strong foundation in machine learning including statistical modeling, supervised and unsupervised learning algorithms.

Advanced skills in prompt engineering with a deep understanding of optimization techniques and best practices for LLM interactions.

Versatile ML skillset spanning traditional techniques (classification, regression, clustering) and cutting-edge deep learning approaches.

Production-grade Generative AI experience deploying and maintaining LLMs and multi-modal models in live environments.

Exceptional analytical capabilities with a track record of solving complex technical problems and thriving in ambiguous, rapidly-evolving situations.

Outstanding communication and collaboration skills with the ability to translate complex technical concepts for diverse audiences and drive cross-functional alignment.

Success partnering across organizational levels from individual contributors to senior leadership, building trust and delivering results.

Proven ability to influence and lead in matrix organizations where collaboration and relationship-building are essential to achieving outcomes.

Preferred Qualifications:

Experience with container orchestration and infrastructure-as-code (Docker, Kubernetes, Terraform) for ML workloads.

Experience with vector databases and embedding technologies.

Required Education:

Bachelor\'s degree in Computer Science, Machine Learning, Mathematical Sciences, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.

Preferred Education:

Master\'s degree or Ph.D in Artificial Intelligence, Machine Learning, Mathematical Sciences, Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.

#DISNEYTECH

#LI-AF2

The hiring range for this position in FL is $135,200.00 to $181,200.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate?s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTX1d8578
Position Id: 110485372
Posted 11 hours ago

Fitment

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Job Details

Skills

SPA
Scalability
Reporting
Backbone.js
Data Quality
Workflow
Testing
Evaluation
Large Language Models (LLMs)
Regulatory Compliance
Automated Testing
IT Management
Quality Assurance
IT Strategy
Clarity
Problem Solving
Conflict Resolution
Apache Velocity
Innovation
Research
Machine Learning Operations (ML Ops)
Continuous Integration
Continuous Delivery
Lifecycle Management
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Cloud Computing
Python
Statistical Models
Management
Unsupervised Learning
Algorithms
Prompt Engineering
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Regression Analysis
Clustering
Deep Learning
Generative Artificial Intelligence (AI)
Analytical Skill
Communication
Leadership
Collaboration
Relationship Building
Orchestration
Docker
Kubernetes
Terraform
Vector Databases
Artificial Intelligence
Machine Learning (ML)
Science
Computer Science
Information Systems
Electrical Engineering
Electronic Engineering

SPA
Scalability
Reporting
Backbone.js
Data Quality
Workflow
Testing
Evaluation
Large Language Models (LLMs)
Regulatory Compliance
Automated Testing
IT Management
Quality Assurance
IT Strategy
Clarity
Problem Solving
Conflict Resolution
Apache Velocity
Innovation
Research
Machine Learning Operations (ML Ops)
Continuous Integration
Continuous Delivery
Lifecycle Management
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Cloud Computing
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Statistical Models
Management
Unsupervised Learning
Algorithms
Prompt Engineering
Optimization
Regression Analysis
Clustering
Deep Learning
Generative Artificial Intelligence (AI)
Analytical Skill
Communication
Leadership
Collaboration
Relationship Building
Orchestration
Docker
Kubernetes
Terraform
Vector Databases
Artificial Intelligence
Machine Learning (ML)
Science
Computer Science
Information Systems
Electrical Engineering
Electronic Engineering

Summary

Job Summary:

The Senior ML Engineer will report to the ML Engineering Manager.

This position is in office.

About The Role & Team:

What You\'ll Do:

Own the operational backbone of the AI/ML platform ? design and run the CI/CD pipelines, model/agent versioning, automated deployment, rollback, and release management that move systems from experimentation to production reliably and repeatably.

Stand up comprehensive observability and monitoring infrastructure ? model/agent performance, drift, data quality, latency, cost, and reliability ? with alerting and automated remediation where possible.

Develop production-scale AI systems, including multi-step agentic workflows and multi-agent orchestration platforms, and operationalize them end to end.

Drive complete ownership of the AI/ML lifecycle ? implementation, testing, deployment, and continuous operational monitoring ? delivering projects on schedule and to specification.

Design and implement Responsible AI frameworks ? hallucination detection, safety guardrails, evaluation systems, and observability ? to ensure model reliability, accuracy, and ethical deployment.

Establish evaluation frameworks for Large Language Models and agent-based systems, measuring model quality, task success rates, safety compliance, and operational effectiveness.

Champion LLMOps and MLOps best practices ? infrastructure-as-code, reproducibility, automated testing, and environment parity ? across the platform.

Partner strategically with cross-functional stakeholders including product managers, data scientists, application teams, vendors, and partners to align on requirements, iterate on solutions, and deliver successful outcomes.

Provide hands-on technical leadership, driving architectural decisions across AI development, LLMOps, quality assurance, and production deployment.

Proactively identify and resolve technical blockers that could impact project timelines or deliverables.

Communicate technical strategy and progress to executive leadership and key stakeholders with clarity and confidence.

Engage directly in development and problem-solving on high-complexity technical challenges to maintain project velocity and quality.

Drive innovation through research and experimentation with emerging AI technologies and frameworks, evaluating and integrating new capabilities that advance our platform.

Basic Qualifications:

5+ years of proven expertise in designing, building, and deploying AI/ML solutions at scale, with 1?2 years of production experience in Generative AI technologies.

Comprehensive MLOps/LLMOps experience with hands-on implementation of CI/CD pipelines, model and agent monitoring, versioning, observability, and lifecycle management in production.

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Proven ability to influence and lead in matrix organizations where collaboration and relationship-building are essential to achieving outcomes.

Preferred Qualifications:

Experience with container orchestration and infrastructure-as-code (Docker, Kubernetes, Terraform) for ML workloads.

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Required Education:

Bachelor\'s degree in Computer Science, Machine Learning, Mathematical Sciences, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.

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#DISNEYTECH

#LI-AF2

Dice Id: RTX1d8578
Position Id: 110485372
Posted 11 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

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Similar Jobs

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