AI/ML Engineer
- Develop, deploy, and optimize AI solutions for production applications.
- Curate and manage large datasets for AI workloads.
- Collaborate with engineers to integrate, monitor, and maintain AI workloads in production.
- Ensure AI systems align with business goals and maintain clear documentation.
- Strong experience in systems for AI/ML, from model development to system optimization.
- Proficiency in Python, with familiarity in TypeScript or Go for integration.
- Expertise in ML frameworks (PyTorch, VLLM, Llama-factory, Transformers, Megatron-LM, CUDA), cloud platforms (AWS, GCP, Azure), and containerization (Docker, Kubernetes).
- Strong problem-solving, collaboration, and communication skills for cross-functional teamwork.
- Experience in AI/ML for enterprise applications or deploying models at scale.
- Familiarity with DevOps practices and automated deployment pipelines.
- Experience working in fast-paced startup environments.
- Research pedigree: MIT CSAIL founders recognized for breakthrough AI and systems contributions.
- Customer impact: Deploy AI solutions powering Fortune 500 clients.
- Industry momentum: Lab alumni have led high-value acquisitions (MosaicML Databricks, Run:AI Nvidia, W&B CoreWeave).
- Funding & growth: Oversubscribed seed round, next funding in 2026.
- Career growth & influence: Lead AI initiatives, optimize pipelines, and directly impact production AI systems at scale.
- Culture & autonomy: Own critical systems while collaborating with world-class engineers.
- Aspirational impact: Solve frontier-level AI/ML challenges that few engineers encounter.
- Competitive salary & stock options
- Sign-on bonus
- Health, Dental, and Vision
- 401k
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