Build and maintain responsive websites and e-commerce capabilities for DigiStor’s secure data storage solutions.
Responsibilities
Develop and maintain responsive websites, product pages, and reusable components that work consistently across desktop and mobile devices.
Implement and improve e-commerce workflows, including product catalogs, search, shopping carts, checkout, payment gateways, and order handling.
Configure and integrate content management and commerce platforms, connecting APIs and services for shipping, tax, inventory, CRM, or analytics as required.
Translate business and design requirements into maintainable code, practical delivery estimates, and clear milestones; communicate progress and risks.
Improve website accessibility, technical SEO, and usability, including the customer journey from product discovery to checkout.
Staff Tech Lead Software Engineer focused on the Vehicle Realism Platform to build tools and systems for realistic autonomous-driving simulation capabilities.
Locations (2)
Mountain View, California, United States
San Francisco, California, United States
Compensation
$251,000—$310,000 USD
Responsibilities
Collaborate with onboard and research engineers to scale simulation and achieve critical Waymo milestones.
Monitor and improve the reproducibility, reliability, and usability of the Waymo simulator.
Design long-term architectures to accommodate a growing number of internal customers and product requirements.
Bridge vehicle subsystems and simulation infrastructure to enhance overall robotic realism.
Partner closely with collaborators from Simulator, Eval, Hardware, and Onboard orgs.
Lead product-facing machine learning initiatives across brand safety, sponsor detection, topic classification, video analysis, customer 360, and entity resolution for Beast Industries’ creator platforms.
Locations (2)
São Paulo, Brazil
Brazil
Compensation
[$78,000–$90,000 USD ] + equity + bonus 15%
Responsibilities
Develop, evaluate, and deploy machine learning models across brand safety, sponsor detection, topic classification, and video analysis, along with customer 360 records and entity resolution, owning them from experimentation through production monitoring.
Build and maintain the data pipelines and feature workflows your models depend on, working with both SQL and NoSQL data at scale.
Partner with engineers, product, and business teams across the company to turn ambiguous questions into measurable models and clear analyses.
Coach and level up other engineers, setting the example for how ML work gets scoped, built, evaluated, and shipped.
Lead the engineering of artificial intelligence for internal enterprise delivery, building secure, scalable and responsible AI capabilities that modernize enterprise systems, automate IT operations and improve employee productivity.
Compensation
A competitive salary and bonus program, based on market scale
Responsibilities
Own the Corporate IT AI strategy and roadmap
Lead intake, value assessment and prioritization of AI use cases across functions
Manage AI licensing, vendor contracts and cloud spend within the IT budget
Rationalize AI tools, reduce duplication and address unapproved or shadow AI use
Assess emerging capabilities, including copilots, agents and SaaS AI features, for enterprise fit
Requirements
Degree or advanced education in computer science, software engineering, data science, machine learning or a related discipline, or equivalent work experience
Staff Tech Lead Software Engineer, Vehicle Realism PlatformNewWaymo · Mountain View, US+1 more
Senior Machine Learning EngineerNewMrBeast · Remote, Brazil+1 more
Bakery - Donut FryerSuper 1 Foods · Columbia Falls, US