Machine Learning Engineer developing and optimising ML models at Junglee Games. Working on data processing, model productionisation, and collaboration with engineering teams.
TC
Hybrid Senior Machine Learning Engineer – Personalization
Posted 2 weeks ago
About the role
- Machine Learning Engineer developing algorithms for personalization and recommendations in Disney's streaming services. Collaborating across teams to enhance user experience and engagement.
Responsibilities
- Utilize cutting edge machine learning methods to develop algorithms for personalization, recommendation, and other predictive systems; maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teams
- Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets
- Maintain existing and establish new algorithm development, testing, and deployment standards
- Collaborate with product and business stakeholders: Identify and define new personalization opportunities and work with other data teams to improve how we do data collection, experimentation and analysis
Requirements
- 5+ years of experience developing machine learning models, performing large-scale data analysis, and/or data engineering experience
- 5+ years writing production-level, scalable code (Python, SQL)
- 3+ years of experience developing algorithms for deployment to production systems
- In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings
- Experience deploying and maintaining pipelines and in engineering big-data solutions using technologies like Databricks, S3, and Spark
- Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick, effective solutions as appropriate
- Strong written and verbal communication skills
- MS or PhD in statistics, math, computer science, or related quantitative field (preferred)
- Production experience with developing content recommendation algorithms at scale (preferred)
- Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment (preferred)
Benefits
- A bonus and/or long-term incentive units may be provided as part of the compensation package
- Full range of medical, financial, and/or other benefits
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Machine Learning Engineer developing predictive models and algorithms for Solera. Collaborating with multidisciplinary teams to enhance AI capabilities across international operations.
Senior AI/ML Engineer developing and deploying machine learning models for ADAS technology. Leading technical efforts and collaborating with diverse teams to enhance map content.
Machine Learning Engineer creating and maintaining ML models for intelligent automation and forecasting at Create Music Group. Collaborating with multiple teams to implement AI - driven solutions.
Director of ML Engineering at Cotality overseeing scaling of ML teams and enhancing Automated Valuation Models. Leading MLOps adoption and driving data strategy within the company.
AI Engineer developing cutting - edge AI models and frameworks in a hybrid setup at a tech startup. Collaborating closely with founders to shape the future of AI technology.
Lead ML Engineering at Track Titan, shaping AI coaching for motorsport with hands - on development in London or remote. Focus on building ML capabilities from a unique dataset.
Senior Machine Learning Engineer developing and optimizing computer vision models for enterprise AI solutions at ABBYY. Leading projects and collaborating across teams to drive innovation in machine learning technology.
Machine Learning Engineer at Junglee Games focusing on data science, Applied ML, and model production. Leverage expertise in Python, SQL, and PySpark for innovative gaming solutions.
Lead Software Engineer focusing on Machine Learning for innovative AI projects in clean energy. Spearheading technical direction and delivery while mentoring teams and managing high - risk projects.