Lead the multidisciplinary team responsible for NBCUniversal’s cloud-native VOD encoding platform and associated media engineering capabilities.
Compensation
Salary range: $125,000 - $160,000. (bonus and long-term incentive eligible)
Responsibilities
Lead and grow a multidisciplinary team of software and media engineers
Own execution of the media processing platform roadmap
Provide technical direction and architecture oversight for scalable, resilient, cloud-native media-processing services
Define and evolve engineering standards for architecture, API design, code quality, automated testing, CI/CD, release management, observability, documentation, and production readiness
Establish and maintain service-level objectives, operational metrics, alerting, incident-response practices, capacity planning, and continuous-improvement mechanisms for production media services
Digitalization Student Assistant in Formulation Development and Innovation, contributing to Python-based digital solutions in an industrial biotechnology environment.
Responsibilities
Develop and maintain Python-based digital tools
Gather user feedback and translate into practical improvements
Create intuitive and consistent user experiences
Improve data flows and explore new ways to create value from data
Requirements
Bachelor's or Master's degree in Engineering, Information Technology, Data Science, Bioinformatics, or related field
Nice to have: Dash
Nice to have: SQL
Nice to have: automated testing
Nice to have: continuous integration and deployment
Internship in bioinformatics focusing on software development, data analytics, machine learning, and AI-powered scientific applications.
Compensation
The expected salary range for this position based on the primary location of California is $45.00-$52.00 per hour.
Responsibilities
Design and implement software tools and ML/AI algorithms for molecular clinical assay development
Develop dynamic scientific visualizations and interactive data exploration tools
Create computational tools, statistical workflows, and automated data processing pipelines
Explore and integrate large language models and AI-driven tools for scientific decision-making
Apply software engineering best practices, version control, and performance optimization
Requirements
Bachelor's Degree in Computer Science, Bioinformatics, Computational Biology, Biomedical Engineering, Data Science, Software Engineering, or related disciplines
Design, develop and deploy quantitative tools supporting trading and research, including pricing, backtesting, risk analysis and PnL reporting; build Python applications and data pipelines; collaborate with researchers and traders; architect cloud applications; develop statistical and machine learning models; implement optimisation methods; monitor and enhance infrastructure.
Responsibilities
Design, develop and deploy quantitative tools supporting trading and research
Build Python applications and data pipelines to explore, integrate and analyse alternative datasets
Collaborate with Quantitative Researchers and Traders to translate trading ideas into production applications and quantitative models
Architect, develop and maintain cloud applications using AWS and related technologies
Develop and apply statistical and machine learning models to support research and trading
The Project Administrative Coordinator (PAC) is responsible for owning the administrative lifecycle of assigned restoration projects from initial assignment through final billing and closeout.
Compensation
$55k-$60k
Responsibilities
Project Intake & Job Setup
Review newly assigned projects for accuracy and completeness
Confirm customer, property, insurance, claim, adjuster, referral, and program information is properly documented
Ensure projects are established correctly within DASH and all applicable third-party platforms
Identify whether the project is Program/TPA, carrier-direct, commercial, self-pay, or otherwise subject to specific requirements
Lead the development and implementation of advanced data science models and algorithms, focusing on Agentic Commerce, LLM platforms, and behavioral modeling.
Compensation
The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is: $144,991.00-243,500.00 per annum.
Responsibilities
Design and execute controlled experiments to measure the effectiveness of PayPal's Agentic Commerce offering across LLM platforms
Apply causal inference methodologies to attribute revenue and conversion changes to product features in AI-driven checkout flows
Develop behavioral models to understand merchant and consumer interactions within conversational commerce environments
Build measurement frameworks to track key performance metrics across growth, conversion, latency, availability, and friction for emerging AI commerce channels
Collaborate with Product and Engineering teams to optimize the Agentic Commerce experience based on data-driven insights
Requirements
Master’s degree or foreign equivalent, in Computer Science, Engineering, Data Science, Statistics, or a closely related field
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