Applied Scientists — Machine Learning (MSc. or PhD)
Posted 2 days ago
You'll complete your application on micro1's career site.
About the Role
This position requires significant contributions to sophisticated machine learning initiatives, specifically regarding model creation, training architecture, and system performance improvement. As an Applied Scientist, you will handle tasks requiring substantial technical expertise, including the design and verification of inference processes, resolution of system-level issues, and improvement of numerical computation speed. You will focus primarily on high-level programming and must possess a nuanced grasp of how machine learning models operate within large-scale environments. You will address difficult engineering hurdles, such as improving data throughput, troubleshooting intricate pipelines, and verifying that all solutions satisfy precise accuracy requirements. Given the project's use of contemporary development techniques, you must be skilled at incorporating coding agents into your process to increase efficiency. This role is well-suited for veteran scientists who excel in research or advanced engineering settings and enjoy utilizing Python to resolve complex challenges.
Requirements
- Possess a Master’s degree or PhD in Computer Science, AI, Machine Learning, Statistics, Applied Mathematics, Engineering, or a related quantitative discipline.
- Demonstrate extensive professional or research background in machine learning.
- Show proven competency in Python and the utilization of coding agents.
- Prior tenure at a major technology firm, leading AI lab, or prominent research facility is preferred, though noteworthy academic or open-source work will be evaluated.
Responsibilities
- Create and verify machine learning models, including the establishment of dependable training pipelines and associated infrastructure.
- Design model elements and assessment frameworks, utilizing numerical methods to address specific technical needs.
- Construct repeatable programmatic workflows via Python and CLI tools, guaranteeing that all software adheres to project performance and functional criteria.
Benefits & Perks
- Enjoy a flexible schedule that allows you to determine your own workdays and hours, including weekends.
- Receive compensation based on your output, with hourly rates varying from 60 to 120 dollars based on task complexity and individual efficiency.
Note: This listing is summarized and paraphrased by WorkNow from a publicly posted role. For the original wording and full details, please refer to the employer's official posting.
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