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.
Build and run Nebius' red team capability, leading a red team function within Product Security Team, designing and executing adversarial simulations across the Nebius cloud platform.
Compensation
Competitive compensation with equity upside in a Nasdaq-listed, high-growth company.
Responsibilities
Build and lead a red team function within Product Security Team, hiring and developing offensive security engineers.
Validate and extend early-stage Secure SDLC threat models via continuous penetration testing, assessing threat severity and mitigation status while challenging assumptions made during threat modeling and system development.
Plan and execute full-scoped red team engagements against Nebius cloud platform, including compute, storage, inference, networking, orchestration layers, and internal tooling.
Research novel attacks against GPU infrastructure, inference stack, and AI platform managed services.
Conduct targeted assessments of new products and infrastructure changes before they ship.
Design and build solutions that enable investment professionals to effortlessly extract insights from large, complex structured and unstructured data sets by building robust end-to-end data pipelines and tools.
Compensation
The annual base salary range for this role is $250,000-$300,000, which does not include discretionary bonus compensation or our comprehensive benefits package.
Responsibilities
Develop and support big data processing pipelines including ingestion, transformation, and end-customer delivery
Build out cloud-based infrastructure using distributed techniques for other data engineers / data scientists / researchers
Be at the forefront of new technology developments with respect to the handling and processing of big data and conduct proof of concepts evaluations of new technologies
Build and support visualization and exploration capabilities around our big data sets
Work with investment professionals, researchers, and data scientists to design, build, and launch robust end-to-end data pipelines
Build and maintain software tools, workflow automations, data infrastructure, and engineering platforms that enable vehicle test and development across Lucid's product portfolio.
Compensation
Base Pay Range (Annual) $124,800—$171,600 USD
Responsibilities
Design, develop, deploy, and maintain software applications that support vehicle development and test activities
Build automated workflows and system integrations across Jira, Confluence, SharePoint, Microsoft Teams, Power Platform, and other engineering platforms
Develop and support cloud-based data pipelines, databases, APIs, and services that securely collect, transform, store, and make engineering data accessible
Create dashboards, reporting solutions, and operational analytics
Establish practical standards for data quality, metadata, access, retention, traceability, application monitoring, documentation, and supportability
Requirements
Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Data Engineering, Mechanical Engineering, Electrical Engineering, or a related technical discipline
Own quality for an AI‑enabled decision‑support system, building test plans, automated coverage, and evidence that delivered features meet specifications.
Compensation
Salary Range: $135,000-$170,000.
Responsibilities
Own the system test plan covering functional, integration, performance, and load testing
Translate acceptance criteria into executable tests
Review acceptance criteria with product before development
Hold engineering, platform, and partner teams accountable to acceptance criteria
As a Software Engineer on the Ads Experience (AdEx) team, you will build and evolve core features, services, and workflows that power Moloco’s web-based campaign management portal, Moloco Ads Manager (our Ads Manager UI).
Responsibilities
Design, implement, and operate backend services and APIs that support key advertiser and operator workflows in Moloco Ads Manager, including campaign setup, configuration, health monitoring, reporting, alerting, and diagnostics.
Own features or projects end-to-end, from problem framing and requirements review through technical design, implementation, testing, launch, and post-launch iteration.
Partner closely with Product, UX, Data, and ML to turn complex user problems into simple, reliable, and scalable product experiences in the Ads Manager UI and via APIs.
Contribute to analytics and reporting capabilities by integrating with data pipelines and helping deliver clear, actionable views of campaign performance and operational health.
Improve the reliability, performance, and observability of the systems you build through strong engineering practices, including testing, metrics, logging, monitoring, and incident response.
Requirements
BS/MS in Computer Science or a related technical field
An experienced trader to oversee the quantitative portfolio management team's trading process, contribute to core business, and develop new expertise in systematic trading.
Responsibilities
Oversight of international equities and macro systematic trading during European hours and provide backup coverage during US morning.
Execute trades in rates instruments across global OTC markets.
Build relationships and negotiate trades with liquidity partners to achieve best execution.
Monitor and support portfolio construction, execution, connectivity, and related processes.
Help conduct post-trading execution and transaction cost analysis and suggest ways to improve.
Requirements
Undergraduate or higher degree in computer science
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