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Sr Machine Learning Engineer

Disney Experiences

Orlando, Florida • Today

Full-time

Senior Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home - G

Next Step Systems

Remote • 2d ago

Easy Apply

Full-time

$170,000 - $190,000

Senior Machine Learning Engineer

OneStudyTeam

Remote • Today

Full-time

USD 140,000.00 - 190,000.00 per year

Senior Machine Learning Engineer

Censys

Remote • Today

Full-time

USD 174,000.00 per year

Sr. Machine Learning Engineer

AppFolio, Inc.

Remote or Santa Barbara, California • Today

Full-time

USD 167,200.00 - 209,000.00 per year

Senior Machine Learning Engineer

Grid Dynamics Holdings, Inc

Remote • Today

Full-time

Senior Machine Learning Engineer

Collectors Universe, Inc.

Remote or California • Today

Full-time

Senior Machine Learning Engineer, Economist

Instacart

Remote • Today

Full-time

USD 207,000.00 - 218,500.00 per year

Senior Machine Learning Engineer

Shipt

Remote or Birmingham, Alabama • Today

Full-time

Senior Machine Learning Engineer

Odyssey Systems Consulting Group, Ltd.

Remote • Today

Full-time

USD 165,000.00 - 195,000.00 per year

Senior ML Engineer

Grid Dynamics Holdings, Inc

Remote • Today

Full-time

Senior, Machine Learning Engineer - 3D Perception

Torc Robotics

Remote or Ann Arbor, Michigan • Today

Full-time

USD 177,300.00 - 212,800.00 per year

Senior, ML Engineer - VLM

Torc Robotics

Remote or Ann Arbor, Michigan • Today

Full-time

USD 177,300.00 - 212,800.00 per year

Senior Machine Learning Engineer - Localization

Torc Robotics

Remote or Ann Arbor, Michigan • Today

Full-time

USD 177,300.00 - 212,800.00 per year

Senior Machine Learning Engineer (Reinforcement Learning/World Model)

Path Robotics

Remote or Columbus, Ohio • Today

Full-time

Senior Machine Learning Engineer, Digital Twin Platform

Instacart

Remote • Today

Full-time

USD 240,000.00 - 253,500.00 per year

Senior Machine Learning Engineer, ML Infrastructure- Online

Unity Microelectronics Inc.

Remote or Seattle, Washington • Today

Full-time

USD 187,200.00 - 243,300.00 per year

Senior, ML Engineer - 3D Reconstruction

Torc Robotics

Remote or Ann Arbor, Michigan • Today

Full-time

USD 177,300.00 - 212,800.00 per year

Senior Machine Learning Engineer (Inference & Deployment)

GlobalLogic Inc.

Remote • 3d ago

Easy Apply

Contract, Third Party

Depends on Experience

Senior Machine Learning Engineer, Radar & Remote Sensing

NT Concepts

Remote or Chantilly, Virginia • Today

Full-time

USD 131,376.00 - 243,984.00 per year

Senior Machine Learning (ML) Engineer (AI Insurtech)

EvolutionIQ

Remote or New York, New York • Today

Full-time

USD 190,000.00 - 225,000.00 per year

Senior, Machine Learning Engineer - End-to-End

Torc Robotics

Remote or Ann Arbor, Michigan • Today

Full-time

USD 226,400.00 - 271,700.00 per year

Senior, ML Engineer - Auto Tagging

Torc Robotics

Remote or Ann Arbor, Michigan • Today

Full-time

USD 177,300.00 - 212,800.00 per year

Senior Machine Learning Engineer, Assistance Engineering

Airbnb

Remote • Today

Full-time

USD 196,000.00 - 227,000.00 per year

Senior AI/ML Engineer (LLM & Generative AI)

Zolon Tech Solutions Inc

Remote • 5d ago

Easy Apply

Contract, Third Party

Depends on Experience

Senior AI/ML Engineer with PyTorch, ?++

EPAM Systems

Remote • Today

Full-time

Sr. AI/ML Engineer with Finance- Payment Industry Fraud/Anamoly detection experience

C2S Technologies Inc

Remote • 2d ago

Easy Apply

Contract

Depends on Experience

Senior Principal Machine Learning Engineer

Cotiviti

Remote • Today

Full-time

USD 250,000.00 - 280,000.00 per year

Senior Machine Learning System Engineer

Atlassian Inc.

Remote or Seattle, Washington • Today

Full-time

USD 180,000.00 - 235,000.00 per year

Sr AI/ML Engineer - Remote

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

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: 108963402
Posted 3 hours ago

Fitment

Dice Job Match Score™

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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
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:

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.

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

Dice Id: RTX1d8578
Position Id: 108963402
Posted 3 hours ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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