- PhD in Machine Learning
- Strong research publications or open-source contributions
- Sagemaker, MLflow, Ray
- ELT tools and data cleaning tools
- Cleanlab or other data-centric AI tools
- LangChain and LLMOps stack
- Competitive base/ salary
- Collaborative working environment
- Hybrid (San Francisco)
Senior Machine Learning Engineer - California, United States - Acceler8 Talent
Description
Senior Machine Learning Engineer
We are seeking a Machine Learning Engineer to join a well-funded MIT Spinout who is sitting at the forefront of data-centric AI. Their vision is to help companies (across all industries) improve the quality of their datasets and fix various issues in them.
As a Senior Machine Learning Engineer, you will work on various ML projects spanning text, image, and structured/tabular datasets. Ideally, we are looking for someone who has worked on large-scale Data/AI projects from inception to production.
Bonus:
What we can offer a Machine Learning Engineer:
Key Skills: BS or Master or PhD in Computer Science or Machine Learning, Python, PyTorch, Huggy Face, AWS, Kubernetes, Docker, Git, CI/CD, Sagemaker, Mlflow, Databricks, Snowflake, Redshift, ETL Pipelines, Scala, Apache Airflow, Apache Spark, Data Lakes