Top Tech Jobs & Startup Jobs

Develop and improve C++ systems interacting with hardware sensors, build scalable data pipelines, and design deep learning algorithms for chemical data insights.

The Machine Learning Engineer will design and deploy multi-modal models while collaborating with cross-functional teams to translate research into production-ready solutions, focusing on climate change mitigation.

Design, build, and scale HR operational systems and workflows for hiring, onboarding, and employee lifecycle. Own day-to-day HR operations (onboarding, exits, transfers), maintain data pipelines and Apps Script dashboards, run data analysis and visualizations, partner with Talent Acquisition, HR, and leadership to improve processes and candidate/employee experience, and automate workflows using scripting and AI-assisted tools.

Architect and own the ML roadmap for continental-scale grid intelligence. Design and deploy multimodal ML, GNNs, physics-informed models, and RL for grid planning, simulation, and operations. Mentor senior engineers, set production standards, and collaborate with power-systems scientists and utility partners to deliver scalable, reliable ML systems.

Strategic HR Business Partner focused on Compensation and Total Rewards: design compensation philosophy, lead annual compensation cycles, benchmarking, pay equity, build incentive programs and analytics, partner with Finance on workforce planning, advise leaders on org design, and scale rewards programs.

As a Staff ML Software Engineer, you will lead the development and deployment of machine learning applications, leveraging your expertise to drive software architecture decisions, maintain cloud infrastructure, and collaborate within a small, agile team focused on geospatial challenges related to climate change.

The Partner Operations Manager supports moonshot teams by managing accounts and vendor relationships, improving operational processes, and facilitating project graduation.

The Business Innovator will lead strategy, conduct market analysis, build partnerships, and support investment readiness for moonshot projects at X.

Design and build a large-scale, secure Agentic Data Platform for ingestion, enrichment, streaming, and retrieval of multi-modal data. Implement low-latency streaming, microservices, governance and monitoring; collaborate with ML, product, and power-systems experts to integrate services and migrate teams with minimal downtime.

Design and build developer productivity platforms and internal tools to enable fast, secure deployments. Improve inner-loop developer experience, standardize service templates, implement IaC and CI/CD pipelines, and provide observability, alerting, and APIs that let application teams manage production health independently.