Software Engineer, Machine Learning - AI

Level AI revolutionizes customer engagement by transforming contact centers into strategic assets using AI-native platform and Large Language Models.
Machine Learning
Mid-Level Software Engineer
Hybrid
51 - 100 Employees
1+ year of experience
AI · Enterprise SaaS

Description For Software Engineer, Machine Learning - AI

Level AI, founded in 2019, is a Series C startup headquartered in Mountain View, California. They revolutionize customer engagement by transforming contact centers into strategic assets using an AI-native platform leveraging advanced technologies like Large Language Models.

As a Machine Learning Engineer, you'll play a crucial role in developing, deploying, and maintaining cutting-edge machine learning models. You'll work with ML/NLP Engineers and cross-functional teams to build scalable, high-performance machine learning & NLP solutions.

Key responsibilities include:

  • Understanding customer needs and innovating with cutting-edge ML techniques
  • Collaborating with teams to integrate AI solutions into products
  • Optimizing ML models for performance, scalability, and efficiency
  • Building and owning scalable production NLP pipelines
  • Implementing post-deployment monitoring and continual learning capabilities
  • Keeping up with state-of-the-art techniques and knowledge sharing
  • Contributing to prompt engineering efforts

Requirements:

  • Bachelor's in Computer Science or Mathematics with 1+ years of ML and NLP experience
  • Proficiency in Python, SQL, and basic Data Structures and Algorithms
  • Experience with data engineering, ML concepts, and NLP problems
  • Familiarity with Transformer-based Language Models and Deep Learning frameworks
  • Experience with ML model deployments and cloud platforms

Level AI offers market-leading compensation and the opportunity to work with experienced professionals from top tech companies. Join us in shaping the future of AI-driven enterprise applications!

Last updated 3 months ago

Responsibilities For Software Engineer, Machine Learning - AI

  • Develop and maintain cutting-edge machine learning models
  • Collaborate with cross-functional teams to integrate AI solutions
  • Optimize existing machine learning models
  • Build and own scalable production NLP pipelines
  • Implement post-deployment monitoring and continual learning capabilities
  • Keep up with state-of-the-art techniques
  • Contribute to prompt engineering efforts

Requirements For Software Engineer, Machine Learning - AI

Python
Kubernetes
  • Bachelor's in Computer Science or Mathematics
  • 1+ years of experience in Machine Learning and NLP
  • Proficient in Python and SQL
  • Knowledge of basic Data Structures and Algorithms
  • Experience with data engineering and machine learning concepts
  • Understanding of NLP problems
  • Experience with Transformer-based Language Models
  • Experience with Deep Learning frameworks
  • Experience with ML model deployments

Benefits For Software Engineer, Machine Learning - AI

  • Market-leading compensation

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