Data Scientist – Machine Learning, AR/VR & Computer Vision Development
Join arenaflex as a Data Scientist
Are you ready to shape the future of technology? At arenaflex, we're not just creating products—we're revolutionizing how humans interact with the digital world. Our team is at the forefront of groundbreaking innovations in Augmented Reality, Virtual Reality, and computer vision technologies that are transforming industries and enhancing everyday life for millions of people globally.
We are currently seeking a talented and passionate Data Scientist to join our dynamic Video Engineering team. This is an extraordinary opportunity to work on cutting-edge projects that push the boundaries of what's possible with machine learning, deep learning, and spatial computing. If you thrive on solving complex problems, have a keen eye for detail, and are excited about building the next generation of AR/VR experiences, we want to hear from you.
About the Role
As a Data Scientist at arenaflex, you will play a critical role in our Video Engineering organization, working closely with cross-functional teams to deliver intelligent solutions that impact users worldwide. You will be responsible for mining vast amounts of data, implementing robust model evaluation pipelines, analyzing large-scale datasets, creating compelling visualizations, and ensuring the highest quality deliverables.
This position requires strong communication skills, as you will be presenting meaningful data insights to leadership and collaborating with various teams including AI research, cloud infrastructure support, and product development groups. Your work will directly influence the evolution of our AR/VR platforms and help shape the future of spatial computing.
Key Responsibilities
Algorithm Development & Evaluation: Implement comprehensive algorithm assessment methods and develop rigorous evaluation frameworks to measure model performance across various metrics.
Failure Analysis: Conduct deep-dive failure analysis and pattern mining to identify root causes of issues and develop targeted solutions for continuous improvement.
Model Interpretation: Foster translation techniques for deep learning models to ensure interpretability and explainability of AI-driven decisions.
Data Visualization & Insights: Generate and present meaningful data insights with compelling visualizations to senior leadership and cross-functional teams.
Statistical Analysis: Apply in-depth statistical analysis and big data analytics to drive actionable insights that enhance user experience and product performance.
Feature Evaluation: Evaluate potential features based on client requirements to make informed decisions for internal product enhancements.
Trend Analysis: Provide quantitative analysis of real-world trends and authentic user data to understand current model and algorithm performance.
Modeling & Forecasting: Create mathematical models to project outcomes and inform critical business decisions.
User Feedback Integration: Capture and analyze real user feedback on delivered products to support future product development and guide strategic initiatives.
Technology Focus: AR/VR and Computer Vision
Are you passionate about building AI/ML products with a focus on Augmented Reality and Virtual Reality applications? Our Video Computer Vision team is working on exciting technologies for next-generation arenaflex products. We specialize in ML-based solutions for real-time image and video processing.
As part of our Spatial Insight Group, we focus on people and scene understanding—creating technologies that bridge the gap between the physical and digital worlds. We are developing 2D and 3D deep learning technologies that will bring the 3D world into users' devices using our powerful LiDAR sensors and advanced camera systems.
Our team has contributed to groundbreaking projects including facial recognition systems and advanced depth-sensing technologies. We continue to innovate in spatial awareness, object recognition, and immersive experience delivery.
Qualifications & Requirements
Essential Qualifications
Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, or a related technical field (Master's preferred)
Strong foundation in machine learning algorithms and deep learning architectures
Proficiency in programming languages such as Python, C++, or Java
Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras
Strong analytical skills with the ability to interpret complex data
Excellent communication skills for presenting technical findings to non-technical stakeholders
Experience with data visualization tools and techniques
Strong problem-solving abilities and attention to detail
Preferred Experience
Advanced degree (Master's or PhD) in Computer Science, AI, ML, or related field
Experience with computer vision and image/video processing
Knowledge of AR/VR technologies and spatial computing
Familiarity with LiDAR data processing and 3D point cloud analysis
Experience with big data technologies such as Spark, Hadoop, or cloud-based data pipelines
Background in building automation pipelines for ML model training and deployment
Understanding of MLOps practices and model lifecycle management
Experience working with cloud infrastructure (AWS, Google Cloud, or Azure)
Skills & Competencies
Technical Expertise: Deep knowledge of machine learning, deep learning, statistical modeling, and data analysis techniques
Programming Proficiency: Strong coding skills in Python and familiarity with scientific computing libraries (NumPy, pandas, scikit-learn)
Data Engineering: Ability to work with large-scale datasets and build efficient data processing pipelines
Communication: Ability to translate complex technical findings into actionable business insights
Collaboration: Strong team player with experience working in cross-functional teams
Innovation: Creative thinker who stays current with emerging technologies and industry trends
Attention to Detail: Meticulous approach to data quality and model accuracy
Time Management: Ability to prioritize tasks and meet deadlines in a fast-paced environment
Career Growth & Learning Opportunities
At arenaflex, we believe in investing in our people. As a Data Scientist joining our team, you will have access to unparalleled opportunities for professional growth and development:
Work on industry-leading projects that are shaping the future of technology
Collaborate with world-class engineers, researchers, and product teams
Access to cutting-edge tools, technologies, and computing resources
Continuous learning through internal training programs and external certifications
Mentorship from senior technical leaders and domain experts
Clear career progression pathways into technical leadership or specialized domains
Exposure to the full product lifecycle from research to deployment
Opportunity to contribute to patents and technical publications
Work Environment & Culture
arenaflex is more than a workplace—it's a community of innovators, dreamers, and doers. We foster a culture of creativity, collaboration, and inclusivity where every voice matters. Our team members enjoy:
State-of-the-art facilities and equipment
Flexible work arrangements and work-life balance
Collaborative spaces designed for innovation
Access to wellness programs and resources
Employee resource groups and community engagement opportunities
A supportive environment that encourages experimentation and learning from failure
Located in the heart of California's technology corridor, our office offers easy access to the vibrant ecosystem of innovation that defines the region. You'll be surrounded by like-minded professionals who share your passion for pushing the boundaries of what's possible.
Compensation & Benefits
We recognize that our team members are our greatest asset. arenaflex offers competitive compensation packages that include:
Attractive hourly rate of $25/hour (with opportunities for growth)
Comprehensive health, dental, and vision insurance
Retirement savings plans with company matching
Paid time off and holidays
Professional development budget for conferences and training
Stock options and equity opportunities
Relocation assistance for qualified candidates
Employee discounts on arenaflex products
Join Our Team
If you're ready to make an impact, solve fascinating challenges, and be part of something extraordinary, aren't you excited to join arenaflex? We're looking for individuals who are passionate about technology, driven by curiosity, and committed to excellence.
This is your chance to work on projects that will shape the future of human-computer interaction. You'll be part of a team that's not afraid to dream big and work hard to make those dreams a reality. The work we do today will influence how people experience the world for generations to come.
Don't miss this opportunity to grow your career with a company that's redefining what's possible. Apply now and become part of the arenaflex family—where innovation meets inspiration, and your career journey reaches new heights.
Ready to begin your journey with arenaflex? We can't wait to see what you'll create.
Are you ready to shape the future of technology? At arenaflex, we're not just creating products—we're revolutionizing how humans interact with the digital world. Our team is at the forefront of groundbreaking innovations in Augmented Reality, Virtual Reality, and computer vision technologies that are transforming industries and enhancing everyday life for millions of people globally.
We are currently seeking a talented and passionate Data Scientist to join our dynamic Video Engineering team. This is an extraordinary opportunity to work on cutting-edge projects that push the boundaries of what's possible with machine learning, deep learning, and spatial computing. If you thrive on solving complex problems, have a keen eye for detail, and are excited about building the next generation of AR/VR experiences, we want to hear from you.
About the Role
As a Data Scientist at arenaflex, you will play a critical role in our Video Engineering organization, working closely with cross-functional teams to deliver intelligent solutions that impact users worldwide. You will be responsible for mining vast amounts of data, implementing robust model evaluation pipelines, analyzing large-scale datasets, creating compelling visualizations, and ensuring the highest quality deliverables.
This position requires strong communication skills, as you will be presenting meaningful data insights to leadership and collaborating with various teams including AI research, cloud infrastructure support, and product development groups. Your work will directly influence the evolution of our AR/VR platforms and help shape the future of spatial computing.
Key Responsibilities
Algorithm Development & Evaluation: Implement comprehensive algorithm assessment methods and develop rigorous evaluation frameworks to measure model performance across various metrics.
Failure Analysis: Conduct deep-dive failure analysis and pattern mining to identify root causes of issues and develop targeted solutions for continuous improvement.
Model Interpretation: Foster translation techniques for deep learning models to ensure interpretability and explainability of AI-driven decisions.
Data Visualization & Insights: Generate and present meaningful data insights with compelling visualizations to senior leadership and cross-functional teams.
Statistical Analysis: Apply in-depth statistical analysis and big data analytics to drive actionable insights that enhance user experience and product performance.
Feature Evaluation: Evaluate potential features based on client requirements to make informed decisions for internal product enhancements.
Trend Analysis: Provide quantitative analysis of real-world trends and authentic user data to understand current model and algorithm performance.
Modeling & Forecasting: Create mathematical models to project outcomes and inform critical business decisions.
User Feedback Integration: Capture and analyze real user feedback on delivered products to support future product development and guide strategic initiatives.
Technology Focus: AR/VR and Computer Vision
Are you passionate about building AI/ML products with a focus on Augmented Reality and Virtual Reality applications? Our Video Computer Vision team is working on exciting technologies for next-generation arenaflex products. We specialize in ML-based solutions for real-time image and video processing.
As part of our Spatial Insight Group, we focus on people and scene understanding—creating technologies that bridge the gap between the physical and digital worlds. We are developing 2D and 3D deep learning technologies that will bring the 3D world into users' devices using our powerful LiDAR sensors and advanced camera systems.
Our team has contributed to groundbreaking projects including facial recognition systems and advanced depth-sensing technologies. We continue to innovate in spatial awareness, object recognition, and immersive experience delivery.
Qualifications & Requirements
Essential Qualifications
Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, or a related technical field (Master's preferred)
Strong foundation in machine learning algorithms and deep learning architectures
Proficiency in programming languages such as Python, C++, or Java
Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras
Strong analytical skills with the ability to interpret complex data
Excellent communication skills for presenting technical findings to non-technical stakeholders
Experience with data visualization tools and techniques
Strong problem-solving abilities and attention to detail
Preferred Experience
Advanced degree (Master's or PhD) in Computer Science, AI, ML, or related field
Experience with computer vision and image/video processing
Knowledge of AR/VR technologies and spatial computing
Familiarity with LiDAR data processing and 3D point cloud analysis
Experience with big data technologies such as Spark, Hadoop, or cloud-based data pipelines
Background in building automation pipelines for ML model training and deployment
Understanding of MLOps practices and model lifecycle management
Experience working with cloud infrastructure (AWS, Google Cloud, or Azure)
Skills & Competencies
Technical Expertise: Deep knowledge of machine learning, deep learning, statistical modeling, and data analysis techniques
Programming Proficiency: Strong coding skills in Python and familiarity with scientific computing libraries (NumPy, pandas, scikit-learn)
Data Engineering: Ability to work with large-scale datasets and build efficient data processing pipelines
Communication: Ability to translate complex technical findings into actionable business insights
Collaboration: Strong team player with experience working in cross-functional teams
Innovation: Creative thinker who stays current with emerging technologies and industry trends
Attention to Detail: Meticulous approach to data quality and model accuracy
Time Management: Ability to prioritize tasks and meet deadlines in a fast-paced environment
Career Growth & Learning Opportunities
At arenaflex, we believe in investing in our people. As a Data Scientist joining our team, you will have access to unparalleled opportunities for professional growth and development:
Work on industry-leading projects that are shaping the future of technology
Collaborate with world-class engineers, researchers, and product teams
Access to cutting-edge tools, technologies, and computing resources
Continuous learning through internal training programs and external certifications
Mentorship from senior technical leaders and domain experts
Clear career progression pathways into technical leadership or specialized domains
Exposure to the full product lifecycle from research to deployment
Opportunity to contribute to patents and technical publications
Work Environment & Culture
arenaflex is more than a workplace—it's a community of innovators, dreamers, and doers. We foster a culture of creativity, collaboration, and inclusivity where every voice matters. Our team members enjoy:
State-of-the-art facilities and equipment
Flexible work arrangements and work-life balance
Collaborative spaces designed for innovation
Access to wellness programs and resources
Employee resource groups and community engagement opportunities
A supportive environment that encourages experimentation and learning from failure
Located in the heart of California's technology corridor, our office offers easy access to the vibrant ecosystem of innovation that defines the region. You'll be surrounded by like-minded professionals who share your passion for pushing the boundaries of what's possible.
Compensation & Benefits
We recognize that our team members are our greatest asset. arenaflex offers competitive compensation packages that include:
Attractive hourly rate of $25/hour (with opportunities for growth)
Comprehensive health, dental, and vision insurance
Retirement savings plans with company matching
Paid time off and holidays
Professional development budget for conferences and training
Stock options and equity opportunities
Relocation assistance for qualified candidates
Employee discounts on arenaflex products
Join Our Team
If you're ready to make an impact, solve fascinating challenges, and be part of something extraordinary, aren't you excited to join arenaflex? We're looking for individuals who are passionate about technology, driven by curiosity, and committed to excellence.
This is your chance to work on projects that will shape the future of human-computer interaction. You'll be part of a team that's not afraid to dream big and work hard to make those dreams a reality. The work we do today will influence how people experience the world for generations to come.
Don't miss this opportunity to grow your career with a company that's redefining what's possible. Apply now and become part of the arenaflex family—where innovation meets inspiration, and your career journey reaches new heights.
Ready to begin your journey with arenaflex? We can't wait to see what you'll create.