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Universidad internship assisting with real tech projects in development, data, automation, or cybersecurity. Hands-on work with mentorship in Java/Python/Node.js/Angular/AI tools while learning team methodologies and best practices.
Owns scheduling and lab workflows for a metabolic-health AI platform, shipping AI-powered features to improve care-team efficiency and member outcomes.
The Senior Data Science Engineer will own the full lifecycle of risk detection systems, building and deploying LLM and classical ML models within a SaaS platform. The role requires a blend of data engineering, MLOps, and applied machine learning to develop scalable pipelines and production-ready AI solutions.
Builds and enforces security standards for Harvey’s AI platform, reviewing critical code, designing secure-by-default libraries, and mentoring engineers to protect sensitive legal data.
Staff Product Security Engineer securing Harvey's AI platform for legal/professional services — owning the product security roadmap, reviewing security-critical code, architecting secure-by-default tools, and driving cross-functional security initiatives.
Senior ML Engineer designing scalable AI platforms, defining governance frameworks, and leading cross-team ML strategy to deploy safe, high-impact models at Creai, a data-driven AI startup.
Build internal fullstack tools—annotation platforms, dashboards, and workflow systems—for research and operations teams at a robotics AI company, using React, TypeScript, Python, Postgres, ClickHouse, GCP, and Kubernetes.
The Staff Machine Learning Engineer will design and build production-grade agentic AI systems, focusing on multi-agent orchestration, enterprise-grounded reasoning, and safety guardrails. The role involves integrating frontier LLMs into ServiceNow's platform to automate enterprise workflows at scale.
Leads a team designing and validating high-performance DRAM/HBM memory subsystems for Google’s TPUs, bridging hardware engineering, verification, and ecosystem partnerships to optimize AI infrastructure.
Leads AI-driven infrastructure projects for Google Workspace (Gmail, Docs, Drive, etc.), bridging technical and executive teams to deliver end-to-end AI features like email summaries and AI avatars. Focuses on requirements, risk management, and cross-functional collaboration in a fast-paced product environment.
Builds AI-powered wellbeing tools by designing full-stack features (frontend/backend/data) with LLM/Agents, shaping platform architecture, and mentoring teams in a multi-country environment.
Builds and owns a customer portal and factory OS (ERP/MES) for autonomous manufacturing, connecting CAD uploads to real-time production tracking for defense hardware. Uses full-stack tech (TypeScript/React + Go/Python/Rust) to enable rapid, mission-critical manufacturing at scale.
Full-stack engineer building LabOS, an AI-orchestrated platform that schedules, executes, and analyzes biology experiments in an automated lab. Work spans interfaces, APIs, and scheduling systems to turn hardware into programmable devices.
Build and maintain AI-assisted web apps and TYPO3 CMS sites, handling full-stack development, APIs, and infrastructure in Bern.
Senior Software Engineer building the core software stack for an on-prem AI appliance — including containerized inference engines, CLIs, GUIs, APIs, system orchestration, and LLM/vision model integration — using Linux, containerization, and GPU/ML tooling.
Develops AI-driven protein design models for antibody therapeutics, optimizing therapeutic targets and validating designs in silico and in vitro. Focuses on advancing generative AI for drug discovery.
Lead product from zero to one for an AI contract review agent, defining vision, running user discovery, and shaping tech strategy around LLM agents and RAG. Requires startup/founder experience.
Lead the incubation of new AI-driven marketing channels for a content engineering platform, validating growth opportunities through data-heavy experiments and co-building with enterprise customers.
Specjalistka/Specjalista ds. Data Science projektuje, wdraża i optymalizuje modele ML oraz integruje je z systemami, tworząc rozwiązania oparte na LLM. Zarządza cyklem życia modeli, buduje potoki CI/CD i monitoruje wydajność algorytmów w środowisku produkcyjnym.
Builds AI-driven marketing automation and data pipelines to replace manual processes, ensuring clean, real-time data for campaign analytics and reporting using Python, SQL, and Supabase.
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