Top Tech Jobs & Startup Jobs

Own product strategy and execution for Asta, an agentic scientific research platform, including engineering frameworks, data infrastructure, public APIs, benchmarks, and compliance. Translate researcher needs into requirements and roadmaps, drive adoption, coordinate engineering workstreams, and maintain the Semantic Scholar platform for millions of users. Partner across research, engineering, legal, and leadership while shaping product management practices.

The AI Editor translates content and safety policies into prompts and model guidelines, evaluates LLM quality, creates alignment data, and improves model fluency, tone, safety, and helpfulness. The role develops prompting approaches, audits LLM judges, identifies bias, maintains style and quality standards, and partners with Product, Research, Engineering, and Design on metrics and reporting systems.

Lead research and scientific development for fully open foundation models focused on scientific discovery. Build and train modern foundation models, develop training pipelines, curate high-quality data, and investigate agentic and multimodal training. Provide scientific leadership, lead small teams, oversee research software systems, publish and present peer-reviewed work, and build collaborations with academic, industry, government, and standards organizations.

Lead product design for AI-powered environmental conservation and Earth-observation products. Conduct user research, solve complex data-heavy interaction problems, and design interfaces involving maps, dashboards, model training, evaluation metrics, agents, and geospatial data. Own work end to end from problem framing through shipping and iteration, while building design systems and collaborating closely with product, engineering, ML research, and global users.

Design, build, and operate large-scale AI/HPC infrastructure spanning job scheduling (Beaker), runtimes, networking, and storage. Drive automation, performance optimization, root-cause analysis for distributed GPU workloads, mentor engineers, and collaborate with researchers to prioritize and deliver scalable orchestration and cluster health tooling.

The Research Engineer will build AI tools for scientific discovery, developing ML and language models, and ensuring software engineering best practices in collaboration with an open-source community.

The Research Engineer will design and implement scalable machine learning systems for next-gen language models, optimizing training and inference processes, while working collaboratively and contributing to open-source projects.

Deploy and adapt OlmoEarth machine learning models for partner use cases in Earth observation. Responsibilities include model fine-tuning, training-loop debugging, task-specific head development, large-scale deployment, partner communication, infrastructure improvements, research collaboration, UI enhancements, and agent evaluation. The role also develops repeatable processes, explores novel geospatial applications, and contributes across model pretraining, fine-tuning, inference, and platform infrastructure.

Lead end-to-end development and deployment of large open models (Olmo, Molmo), building and optimizing training/inference pipelines, dataset curation, and large-scale preprocessing; design, train, and evaluate multimodal and agentic systems; scope and run high-impact research projects; apply strong software engineering to bridge research to production and contribute to open-source releases.

The role involves developing AI-powered user interfaces and backend services, collaborating with teams, improving system reliability, and mentoring junior engineers.