Machine Learning Engineer - Data & Evaluation (San Jose)
$170k/y-$250k/y
Hume AI
12 days ago
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OnsiteFull-timeMid
Summary
Hume AI is seeking a Machine Learning Engineer - Data & Evaluation to join their team in San Jose, CA. The role involves developing large scale data pipelines for machine learning training and evaluation to enhance AI's understanding of human emotions.
About the Role
As a Machine Learning Engineer, you will collaborate with researchers to collect and process data for training multimodal large language models (LLMs). Your responsibilities will include creating evaluations, managing training data pipelines, and integrating open source packages to accelerate training. This position combines data platform development with research engineering.
About You
Required:
Experience in backend web services and ML infrastructure.
Expertise in the Python ecosystem and popular ML libraries (e.g., PyTorch, JAX, TensorFlow).
Familiarity with tools such as Elasticsearch, Ray, Dask, Flink, Spark.
Experience designing data schemas and manipulating large data sources in BigQuery, Redshift, etc.
Preferred:
Experience with web development for interactive tools that accelerate research.
Excellent communication and collaboration skills.
Ability to translate research questions into concrete experiments backed by data.
Benefits
Competitive salary ranging from $170,000 to $250,000.
Flexible work location options including NYC, San Jose, or remote.
Hume AI
The foundational voice model with emotional intelligence. Experience our API: https://app.hume.ai