Top Tech Jobs & Startup Jobs

Design, build, and own scalable MLOps infrastructure for large 2D/3D multimodal datasets. Automate CI/CD and continuous training pipelines, implement dataset versioning and storage strategies, and deploy monitoring/observability systems to track model performance and data drift across production ML systems. Collaborate with ML, annotation teams, and TPMs to define requirements.

Provide HR administration and systems support across Germany, Austria and Switzerland. Manage recruiting and onboarding via SmartRecruiters, process hires and payroll changes in SAP, maintain employee records, handle visa documentation, support benefits and client queries, coordinate employee engagement initiatives, and assist HR Manager with reporting, relocations, vendor invoices, and HR program rollouts.

Implement and deploy deep-learning, computer vision, and procedural modeling algorithms (primarily in Python). Apply state-of-the-art ML and graphics research to convert large 2D/3D geospatial datasets into high-fidelity 3D content. Collaborate with founders on product vision, manage code with Git, and deploy/test at scale using Unix-based systems.

Lead end-to-end privacy product portfolio: define strategy, roadmap, and execution to translate privacy regulations (GDPR, CPRA/CCPA) into scalable capabilities. Ship and scale DSAR, Consent, and Preference Management solutions, integrate SaaS platforms via APIs/SFTP, and coordinate cross-functional teams (engineering, legal, security, data) to ensure enterprise compliance and operational frameworks.

Provide overnight front-desk and access control support at NBCUniversal headquarters. Greet employees and guests, manage badge issuance and access provisioning, monitor for incidents, document shift activity, and coordinate handoffs. Operate independently during off-hours, respond to incidents calmly, and support related reception and employee registration functions.

Lead and grow a forward-deployed ML engineering team delivering graphically intensive simulation applications. Manage stakeholder relationships, translate customer needs into technical requirements, prioritize product approaches (off-the-shelf, OSS, or research), and coordinate cross-functional delivery across the ML lifecycle including data, training, and deployment.

Lead end-to-end product development for Medallion data products and AI agentic workflows. Prototype and build AI capabilities alongside engineering, manage 2-3 business unit engagements, define roadmaps, prioritize reusable solutions, track adoption metrics, and drive cross-functional standards for data governance and responsible AI.

Design and build high-fidelity 2D/3D simulation environments, engineer reward functions, implement and optimize RL algorithms (PPO, SAC, Offline RL), coordinate cross-functional data and training requirements, and develop sim-to-real strategies (domain randomization/adaptation) to ensure robust agent performance in real-world settings.

Lead product strategy and delivery for enterprise-scale data platforms and analytics, including data governance, semantic modeling, AI readiness, vendor evaluation, and executive stakeholder engagement to drive adoption and measurable OKRs.

Implement and optimize C++ core algorithms for machine learning, computer vision, and 3D/procedural modeling. Apply cutting-edge research, manage code with Git, deploy and test on cloud and Unix-based systems, and work with large-scale geospatial datasets to generate user-facing 3D content.