Resumo da vaga

Founding Engineer- Machine Learning

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

What You'll Do

  • Build and optimize end-to-end ML pipelines from data ingestion through deployment.
  • Implement and fine-tune LLMs, embeddings, and generative models for real-world use cases.
  • Develop efficient training and inference systems leveraging distributed compute.
  • Partner with data and product teams to translate ideas into measurable ML outcomes.
  • Contribute to model monitoring, evaluation, and continual learning frameworks.
  • Establish best practices for model versioning, reproducibility, and scalability.
  • Move quickly between experimentation and production deployments, balancing research and engineering rigor.

Required:

  • 3–10 years of experience as an ML Engineer, Applied Scientist, or Research Engineer.
  • Strong ML fundamentals: data preprocessing, feature engineering, model training, and optimization.
  • Proficiency in Python and at least one deep learning framework: PyTorch, TensorFlow, or JAX.
  • Experience with distributed training/inference and cloud ML infrastructure (AWS, GCP, or Azure).
  • Hands-on experience building end-to-end ML pipelines from data ingestion to production deployment.
  • Familiarity with MLOps tooling (e.g., Weights & Biases, MLflow) and model monitoring approaches.
  • Comfortable working with large datasets and high-throughput systems.
  • Bias for action, ability to work autonomously, and eagerness to build systems from scratch.
  • Willingness to work onsite in Mountain View, CA.

Nice to Have:

  • Experience with vector databases and retrieval-augmented generation (RAG) workflows.
  • Experience with continual learning, model monitoring, and evaluation frameworks.

Compensation & Benefits

  • Salary: $220,000 – $300,000 USD annually
  • Early-stage equity commensurate with a founding engineer role
  • Note: Visa sponsorship is not available for this position
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FocoFounding ML EngineerÁrea da vaga
Sinal de senioridadeLeadNível do candidato
StackAWS, Azure, GCPSkills principais
Localização1 país aceitoElegibilidade

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