What are the responsibilities and job description for the Machine Learning Engineer - Marketing Analytics position at Jobs via Dice?
Remote, Marketing Analytics, Pricing, Promotions
This Jobot Job is hosted by: Dylan Currier
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $120,000 - $140,000 per year
A bit about us:
We are a globally recognized leader in the entertainment industry, delivering world-class content and experiences to millions of consumers across the globe. Our mission is to create meaningful connections between audiences and the stories, music, and moments they love.
At the heart of our success is data. We leverage advanced analytics and machine learning to better understand our audiences, personalize experiences, and shape the future of entertainment. Our teams are made up of curious, driven individuals who are passionate about innovation and pushing the boundaries of what's possible.
Why join us?
Opportunity to work with a leading brand in the entertainment space
Fully remote work environment with flexible scheduling
Competitive Compensation And Benefits Package
Collaborative and innovative team culture
Job Details
Candidates must be authorized to work in the United States without the need for sponsorship now or in the future
We are seeking a mid-level Machine Learning Engineer to join a well-established and widely recognized company in the entertainment industry. In this role, you will help design, build, and deploy machine learning models that drive consumer insights, personalization, and data-driven decision-making across digital platforms. You'll collaborate with cross-functional teams including data science, product, and engineering to deliver impactful solutions at scale.
Key Responsibilities
Develop, deploy, and maintain machine learning models focused on consumer analytics (e.g., user behavior, segmentation, recommendation systems)
Work with large-scale datasets to extract insights and improve customer engagement and retention
Collaborate with data engineers to build and optimize data pipelines for ML workflows
Partner with product and business teams to translate requirements into scalable ML solutions
Evaluate model performance and continuously iterate to improve accuracy and efficiency
Contribute to best practices in ML engineering, including testing, monitoring, and documentation
Required Qualifications
3-5 years of professional experience in machine learning, data science, or a related field
Hands-on experience building and deploying machine learning models in production environments
Strong background in consumer analytics, such as user behavior modeling, personalization, or recommendation systems
Proficiency in Python and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
Experience working with large datasets and distributed systems (e.g., Spark, Hadoop, or similar)
Solid understanding of data structures, algorithms, and software engineering principles
Ability to communicate technical concepts clearly to both technical and non-technical stakeholders
Preferred Qualifications
Experience in the entertainment, media, or streaming industry
Familiarity with cloud platforms (e.g., AWS, Google Cloud Platform, Azure)
Knowledge of A/B testing frameworks and experimentation platforms
Experience with MLOps tools and practices (CI/CD for ML, model monitoring, etc.)
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy
This Jobot Job is hosted by: Dylan Currier
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $120,000 - $140,000 per year
A bit about us:
We are a globally recognized leader in the entertainment industry, delivering world-class content and experiences to millions of consumers across the globe. Our mission is to create meaningful connections between audiences and the stories, music, and moments they love.
At the heart of our success is data. We leverage advanced analytics and machine learning to better understand our audiences, personalize experiences, and shape the future of entertainment. Our teams are made up of curious, driven individuals who are passionate about innovation and pushing the boundaries of what's possible.
Why join us?
Opportunity to work with a leading brand in the entertainment space
Fully remote work environment with flexible scheduling
Competitive Compensation And Benefits Package
Collaborative and innovative team culture
Job Details
Candidates must be authorized to work in the United States without the need for sponsorship now or in the future
We are seeking a mid-level Machine Learning Engineer to join a well-established and widely recognized company in the entertainment industry. In this role, you will help design, build, and deploy machine learning models that drive consumer insights, personalization, and data-driven decision-making across digital platforms. You'll collaborate with cross-functional teams including data science, product, and engineering to deliver impactful solutions at scale.
Key Responsibilities
Develop, deploy, and maintain machine learning models focused on consumer analytics (e.g., user behavior, segmentation, recommendation systems)
Work with large-scale datasets to extract insights and improve customer engagement and retention
Collaborate with data engineers to build and optimize data pipelines for ML workflows
Partner with product and business teams to translate requirements into scalable ML solutions
Evaluate model performance and continuously iterate to improve accuracy and efficiency
Contribute to best practices in ML engineering, including testing, monitoring, and documentation
Required Qualifications
3-5 years of professional experience in machine learning, data science, or a related field
Hands-on experience building and deploying machine learning models in production environments
Strong background in consumer analytics, such as user behavior modeling, personalization, or recommendation systems
Proficiency in Python and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
Experience working with large datasets and distributed systems (e.g., Spark, Hadoop, or similar)
Solid understanding of data structures, algorithms, and software engineering principles
Ability to communicate technical concepts clearly to both technical and non-technical stakeholders
Preferred Qualifications
Experience in the entertainment, media, or streaming industry
Familiarity with cloud platforms (e.g., AWS, Google Cloud Platform, Azure)
Knowledge of A/B testing frameworks and experimentation platforms
Experience with MLOps tools and practices (CI/CD for ML, model monitoring, etc.)
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy
Salary : $120,000 - $140,000