Experienced Machine Learning Engineer – AI & Data Science for Entertainment Systems (Remote)
---
Join arenaflex: Where Magic Meets Innovation
Step into a world where imagination meets cutting-edge technology. At arenaflex, we believe that the spirit of innovation that started with a dream to create extraordinary experiences continues to drive everything we do today. We are pioneers in entertainment and technology, constantly pushing the boundaries of what is possible to deliver magical experiences to millions of visitors worldwide.
Are you passionate about leveraging artificial intelligence and machine learning to create unforgettable experiences? Do you thrive in an environment where your technical expertise can directly impact how millions of people experience entertainment? If so, we invite you to join our team as a Machine Learning Engineer and help us shape the future of entertainment technology.
This remote position offers an exciting opportunity to be part of the arenaflex family from the comfort of your own home. While no prior experience in the entertainment industry is necessary, you'll need a genuine passion for customer service excellence and a love for creating magical moments through technology.
About the Role
As a Machine Learning Engineer within our Attractions Technology division, you will play a pivotal role in guiding the creation, implementation, and support of data analysis and machine learning models that power our world-class attractions. You'll work closely with internal partners to deliver exceptional visitor experiences through intelligent and data-driven systems across arenaflex Experiences.
You will report to our Attractions Operational Technology team and become an integral part of a collaborative team dedicated to pushing the boundaries of what's possible in entertainment technology. This is a unique opportunity to apply your technical skills in a creative, fast-paced environment where innovation is not just encouraged—it's expected.
What You'll Do
Your journey at arenaflex will be filled with opportunities to innovate, collaborate, and make a meaningful impact. Here's what you can expect in this role:
Build Strategic Partnerships: Foster and develop strong relationships with colleagues across departments, providing thought leadership and driving initiatives to completion with efficiency and effectiveness.
Drive ML Innovation: Engage with research teams and colleagues to help drive machine learning strategies forward, identifying areas where business challenges can be solved creatively through the application of ML technologies.
Lead Technical Initiatives: Lead and collaborate with various specialists and data scientists to execute and successfully scale ML solutions that create magical experiences for our visitors while pushing the boundaries of operational excellence.
Innovate and Experiment: Drive research and development efforts, proofs of concept, innovation sprints, and client interactions that lead to building top-tier AI platforms.
Ensure Operational Excellence: Manage functional support and maintenance of ML-related products and services delivered by the team, ensuring seamless operations at all times.
Establish Best Practices: Build standard procedures used in daily operations and work with specialized units to design, plan, and execute large-scale projects in the AI and ML space.
Productionize ML Solutions: Productionize ML algorithms in predictive analytics, clustering, image recognition, natural language processing (NLP), anomaly detection, and more, evaluating their performance on real-world datasets.
Cross-Functional Collaboration: Collaborate with different teams to achieve goals in improving system performance and integrate with existing software practices that produce maintainable code, including automated testing, continuous integration, code style consistency, and comprehensive code reviews.
Required Qualifications and Skills
To thrive in this role, you'll need a strong technical foundation and the ability to apply your skills creatively in an entertainment context. Here are the qualifications we're looking for:
Technical Expertise
Programming Mastery: 2+ years of demonstrated mastery in Python with predictive modeling experience using frameworks such as TensorFlow, SparkMLib, PySpark, LightGBM, MXNet, or similar technologies.
Cloud Platform Proficiency: 2+ years of expert-level experience with cloud platforms, specifically AWS (Amazon Web Services) and GCP (Google Cloud Platform).
Software Development Excellence: Proficiency in Software Development Life Cycle (SDLC), QA processes, and Object-Oriented Programming Design Patterns.
Data Management Skills: Expert-level experience with both structured and unstructured data (including images, video, text, audio, and more) as well as SQL, relational, and non-relational databases.
Data Workflow Management: 2+ years of experience with Apache Airflow or another data workflow management tool.
Version Control and DevOps: Experience with version control software such as GitHub and GitLab, Model Operations, and CI/CD (Continuous Integration/Continuous Deployment) pipelines.
Business Acumen: Experience driving discovery processes with partners to identify business requirements and deliver strong, practical solutions combined with excellent interpersonal skills and a determination to see tasks through to completion.
Systems Integration: Strong systems integration architecture skills with the ability to translate new technology into business solutions.
Preferred Qualifications
While not required, the following skills and experiences would make you an even stronger candidate:
Experience with Docker containerization technology
Experience with configuration management tools
Experience with Kubernetes orchestration
Experience with cloud solutions beyond AWS and GCP
Experience with Atlassian tools such as Jira and Confluence
Experience with Agile development methodologies
Experience with automated testing, continuous integration, and continuous deployment practices
Experience with data visualization and data monitoring tools (such as Splunk, Plotly, Tableau)
Experience with audio analysis and signal processing
Experience with text analysis and natural language processing
Education Requirements
Required: Bachelor's degree in Data Science, Statistics, Programming, Computer Engineering, Computer Science, or a similar technical background.
Preferred: Advanced degree (Ph.D.) in Data Science, Statistics, Programming, Computer Engineering, Computer Science, or a similar technical field.
Why Join arenaflex?
At arenaflex, we believe that our greatest asset is our people. We offer a comprehensive package designed to support your professional growth, personal well-being, and work-life balance:
Competitive Compensation
Industry-competitive salary commensurate with experience
Annual performance bonuses and incentives
Equity/stock participation opportunities
Comprehensive Benefits
Full health, dental, and vision insurance coverage
401(k) retirement plan with company matching
Generous paid time off (PTO) policy including vacation, sick leave, and personal days
Parental leave for growing families
Life insurance and disability coverage
Professional Development
Continuous learning opportunities through online courses, conferences, and workshops
Access to cutting-edge technologies and tools
Mentorship programs with industry experts
Clear career progression pathways within the organization
Internal mobility programs to explore different roles
Work-Life Balance
Fully remote position – work from anywhere!
Flexible working hours to accommodate your schedule
Modern collaboration tools and technologies
Company-sponsored wellness programs
Employee assistance program (EAP) for personal and professional support
Company Culture
Our culture is built on the foundation of creativity, innovation, and collaboration. At arenaflex, you'll find:
A supportive and inclusive work environment where diversity is celebrated
Teams that value open communication and transparency
Regular team-building activities and virtual social events
A commitment to sustainability and corporate responsibility
The opportunity to work on projects that bring joy to millions of people worldwide
Career Growth Opportunities
One of the most exciting aspects of joining arenaflex is the potential for career growth. As you develop your skills and contribute to the team's success, you'll have access to numerous advancement opportunities, including:
Leadership roles within the machine learning and AI teams
Specialization tracks in areas such as computer vision, NLP, or predictive analytics
Cross-functional leadership opportunities spanning multiple technology domains
Exposure to cutting-edge research and emerging technologies
Potential involvement in patentable innovations and intellectual property development
We're invested in your long-term career success and will provide the resources, mentorship, and opportunities you need to grow both professionally and personally.
How to Apply
If you're ready to combine your technical expertise with your passion for creating extraordinary experiences, we want to hear from you! This is your chance to join a team of innovators who are shaping the future of entertainment technology.
No prior experience in the entertainment industry is necessary – we value your technical skills and your passion for learning. What matters most is your drive to innovate, your commitment to excellence, and your desire to be part of something magical.
Apply today and take the first step toward an exciting career at arenaflex where your contributions will help create unforgettable moments for people around the world.
We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Join arenaflex: Where Magic Meets Innovation
Step into a world where imagination meets cutting-edge technology. At arenaflex, we believe that the spirit of innovation that started with a dream to create extraordinary experiences continues to drive everything we do today. We are pioneers in entertainment and technology, constantly pushing the boundaries of what is possible to deliver magical experiences to millions of visitors worldwide.
Are you passionate about leveraging artificial intelligence and machine learning to create unforgettable experiences? Do you thrive in an environment where your technical expertise can directly impact how millions of people experience entertainment? If so, we invite you to join our team as a Machine Learning Engineer and help us shape the future of entertainment technology.
This remote position offers an exciting opportunity to be part of the arenaflex family from the comfort of your own home. While no prior experience in the entertainment industry is necessary, you'll need a genuine passion for customer service excellence and a love for creating magical moments through technology.
About the Role
As a Machine Learning Engineer within our Attractions Technology division, you will play a pivotal role in guiding the creation, implementation, and support of data analysis and machine learning models that power our world-class attractions. You'll work closely with internal partners to deliver exceptional visitor experiences through intelligent and data-driven systems across arenaflex Experiences.
You will report to our Attractions Operational Technology team and become an integral part of a collaborative team dedicated to pushing the boundaries of what's possible in entertainment technology. This is a unique opportunity to apply your technical skills in a creative, fast-paced environment where innovation is not just encouraged—it's expected.
What You'll Do
Your journey at arenaflex will be filled with opportunities to innovate, collaborate, and make a meaningful impact. Here's what you can expect in this role:
Build Strategic Partnerships: Foster and develop strong relationships with colleagues across departments, providing thought leadership and driving initiatives to completion with efficiency and effectiveness.
Drive ML Innovation: Engage with research teams and colleagues to help drive machine learning strategies forward, identifying areas where business challenges can be solved creatively through the application of ML technologies.
Lead Technical Initiatives: Lead and collaborate with various specialists and data scientists to execute and successfully scale ML solutions that create magical experiences for our visitors while pushing the boundaries of operational excellence.
Innovate and Experiment: Drive research and development efforts, proofs of concept, innovation sprints, and client interactions that lead to building top-tier AI platforms.
Ensure Operational Excellence: Manage functional support and maintenance of ML-related products and services delivered by the team, ensuring seamless operations at all times.
Establish Best Practices: Build standard procedures used in daily operations and work with specialized units to design, plan, and execute large-scale projects in the AI and ML space.
Productionize ML Solutions: Productionize ML algorithms in predictive analytics, clustering, image recognition, natural language processing (NLP), anomaly detection, and more, evaluating their performance on real-world datasets.
Cross-Functional Collaboration: Collaborate with different teams to achieve goals in improving system performance and integrate with existing software practices that produce maintainable code, including automated testing, continuous integration, code style consistency, and comprehensive code reviews.
Required Qualifications and Skills
To thrive in this role, you'll need a strong technical foundation and the ability to apply your skills creatively in an entertainment context. Here are the qualifications we're looking for:
Technical Expertise
Programming Mastery: 2+ years of demonstrated mastery in Python with predictive modeling experience using frameworks such as TensorFlow, SparkMLib, PySpark, LightGBM, MXNet, or similar technologies.
Cloud Platform Proficiency: 2+ years of expert-level experience with cloud platforms, specifically AWS (Amazon Web Services) and GCP (Google Cloud Platform).
Software Development Excellence: Proficiency in Software Development Life Cycle (SDLC), QA processes, and Object-Oriented Programming Design Patterns.
Data Management Skills: Expert-level experience with both structured and unstructured data (including images, video, text, audio, and more) as well as SQL, relational, and non-relational databases.
Data Workflow Management: 2+ years of experience with Apache Airflow or another data workflow management tool.
Version Control and DevOps: Experience with version control software such as GitHub and GitLab, Model Operations, and CI/CD (Continuous Integration/Continuous Deployment) pipelines.
Business Acumen: Experience driving discovery processes with partners to identify business requirements and deliver strong, practical solutions combined with excellent interpersonal skills and a determination to see tasks through to completion.
Systems Integration: Strong systems integration architecture skills with the ability to translate new technology into business solutions.
Preferred Qualifications
While not required, the following skills and experiences would make you an even stronger candidate:
Experience with Docker containerization technology
Experience with configuration management tools
Experience with Kubernetes orchestration
Experience with cloud solutions beyond AWS and GCP
Experience with Atlassian tools such as Jira and Confluence
Experience with Agile development methodologies
Experience with automated testing, continuous integration, and continuous deployment practices
Experience with data visualization and data monitoring tools (such as Splunk, Plotly, Tableau)
Experience with audio analysis and signal processing
Experience with text analysis and natural language processing
Education Requirements
Required: Bachelor's degree in Data Science, Statistics, Programming, Computer Engineering, Computer Science, or a similar technical background.
Preferred: Advanced degree (Ph.D.) in Data Science, Statistics, Programming, Computer Engineering, Computer Science, or a similar technical field.
Why Join arenaflex?
At arenaflex, we believe that our greatest asset is our people. We offer a comprehensive package designed to support your professional growth, personal well-being, and work-life balance:
Competitive Compensation
Industry-competitive salary commensurate with experience
Annual performance bonuses and incentives
Equity/stock participation opportunities
Comprehensive Benefits
Full health, dental, and vision insurance coverage
401(k) retirement plan with company matching
Generous paid time off (PTO) policy including vacation, sick leave, and personal days
Parental leave for growing families
Life insurance and disability coverage
Professional Development
Continuous learning opportunities through online courses, conferences, and workshops
Access to cutting-edge technologies and tools
Mentorship programs with industry experts
Clear career progression pathways within the organization
Internal mobility programs to explore different roles
Work-Life Balance
Fully remote position – work from anywhere!
Flexible working hours to accommodate your schedule
Modern collaboration tools and technologies
Company-sponsored wellness programs
Employee assistance program (EAP) for personal and professional support
Company Culture
Our culture is built on the foundation of creativity, innovation, and collaboration. At arenaflex, you'll find:
A supportive and inclusive work environment where diversity is celebrated
Teams that value open communication and transparency
Regular team-building activities and virtual social events
A commitment to sustainability and corporate responsibility
The opportunity to work on projects that bring joy to millions of people worldwide
Career Growth Opportunities
One of the most exciting aspects of joining arenaflex is the potential for career growth. As you develop your skills and contribute to the team's success, you'll have access to numerous advancement opportunities, including:
Leadership roles within the machine learning and AI teams
Specialization tracks in areas such as computer vision, NLP, or predictive analytics
Cross-functional leadership opportunities spanning multiple technology domains
Exposure to cutting-edge research and emerging technologies
Potential involvement in patentable innovations and intellectual property development
We're invested in your long-term career success and will provide the resources, mentorship, and opportunities you need to grow both professionally and personally.
How to Apply
If you're ready to combine your technical expertise with your passion for creating extraordinary experiences, we want to hear from you! This is your chance to join a team of innovators who are shaping the future of entertainment technology.
No prior experience in the entertainment industry is necessary – we value your technical skills and your passion for learning. What matters most is your drive to innovate, your commitment to excellence, and your desire to be part of something magical.
Apply today and take the first step toward an exciting career at arenaflex where your contributions will help create unforgettable moments for people around the world.
We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.