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The Product Manager will own the software-to-factory-floor link for an autonomous manufacturing operating system, working on-site in Munich to bridge the gap between engineering teams and physical production. The role involves defining product strategy, writing technical specifications, and optimizing factory processes through direct observation and collaboration with technicians.
This Data Scientist III role involves analyzing large-scale real-world insurance claims and EHR data to support cancer research and AI/ML model development. The position requires expertise in SQL, R, and statistical modeling to derive clinical insights and communicate findings through manuscripts and visualizations.
The Senior Data Scientist will build and maintain predictive vulnerability models using ground-truth telemetry to help organizations prioritize security remediation. The role involves end-to-end model development, from feature engineering and training to production deployment and communicating results to stakeholders.
Build and lead Flagship’s cloud security and AppSec practice, embedding security into engineering pipelines and using AI tools to automate routine tasks while collaborating with I&O and portfolio teams.
The Principal Scientist will lead AI/ML and computational projects across early-stage ventures, overseeing method development, platform design, and LLM-based agentic workflows. The role involves managing cross-functional teams and driving technical strategy to accelerate scientific discovery in human health and sustainability.
The Principal Software Engineer will build and own a durable orchestration platform for agentic AI systems, enabling long-running, multi-agent scientific workflows. The role focuses on architecting scalable, reliable infrastructure on AWS to transition AI research prototypes into production-grade systems.
This role involves leading scientific and machine learning development for hydrology-aware climate modeling within an environmental platform. The scientist will work with large-scale climate datasets and Python-based ML frameworks to build reproducible, physically-informed prediction systems.
Lead a team building multimodal AI systems that unify biological data and scientific expertise to power autonomous discovery engines for drug development and biological research.
The Machine Learning Scientist will build AI models and agentic workflows to analyze complex biological data, including genomics and single-cell datasets, to drive therapeutic discovery. The role involves developing deep learning systems and foundation models to map relationships between genotype, cell state, and disease mechanisms.
Research and build AI-powered tools that improve psychological wellbeing using large language models, reinforcement learning, and computational methods in a fast-moving startup environment.
Build and lead the full-stack of an AI-powered wellbeing platform, shipping customer-facing features while collaborating with ML researchers and product teams using Python, AWS, and modern DevOps practices.
Lead AI/ML and computational projects to accelerate pharmaceutical R&D, designing agentic workflows that integrate LLMs with omics, biomolecule design, and systems biology tools for end-to-end scientific pipelines.
Demonstrates and supports AI-powered autonomy solutions for maritime and other mobility industries, using simulation and infrastructure tools.
Lead end-to-end server and network platform programs for Cerebras AI clusters, driving NPIs, qualification, and production rollout while collaborating with OEMs, vendors, and internal teams.
Niural is seeking a Product Manager to lead the end-to-end development of their AI-native global payroll and compliance platform. The role involves managing the product roadmap, writing PRDs, and collaborating with engineering and design teams in an in-person capacity in New York City.
This senior technical leadership role involves defining the strategy and technical direction for an AI platform engineering unit within a major organization. The position requires a leader capable of driving MLOps excellence and guiding teams in a hybrid, London-based environment.
The Assistant General Counsel (Product) advises Abridge’s AI/ML teams on legal risks, IP, data governance, and compliance for healthcare-focused AI models, shaping frameworks for novel AI applications in real-time clinical documentation and emerging agentic systems.
Hands-on cluster administration engineer owning and operating high-performance GPU/HPC compute infrastructure for an AI inference company, leveraging Linux, SLURM/Kubernetes, and automation tooling.
Hex Technologies is hiring an AI Research Engineer to build and scale AI-powered features like the Notebook Agent for their data science platform. The role involves running experiments, fine-tuning models, and managing AI infrastructure using Python, TypeScript, and modern cloud technologies.
Software engineer optimizing TPU/GPU performance for Gemini model training and serving across the JAX stack—custom kernels, model sharding, profiling, and compiler optimizations.
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