Full-Time

Machine Learning Engineer

SF Bay Area

Posted on 4/18/2024

Ema

Ema

11-50 employees

AI-powered enterprise productivity software


Mid, Senior

Oakland, CA, USA

Required Skills
Microsoft Azure
Python
Tensorflow
Data Structures & Algorithms
Pytorch
Natural Language Processing (NLP)
Google Cloud Platform
Requirements
  • Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field
  • Proven industry experience in building and deploying production-level machine learning models
  • Deep understanding and practical experience with NLP techniques and frameworks
  • Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch
  • Experience with machine learning model lifecycle management tools and MLOps principles
  • Familiarity with cloud platforms like GCP or Azure
  • Good understanding of software development principles, data structures, and algorithms
Responsibilities
  • Conceptualize, develop, and deploy machine learning models
  • Implement advanced machine learning algorithms
  • Lead the processing and analysis of large, complex datasets
  • Work across the complete lifecycle of ML model development
  • Implement A/B testing and other statistical methods
  • Clearly communicate the technical workings and benefits of ML models

Ema Unlimited Inc is focused on developing advanced enterprise productivity software, designed to optimize workflow and significantly boost employee efficiency by seamlessly integrating with a myriad of applications and diverse data forms. This commitment to enhancing workplace productivity and efficiency makes it an excellent place to work, especially for those passionate about leveraging technology to solve complex problems within various business environments. The company’s role as a leader in enterprise software also offers employees a chance to engage with cutting-edge technology and influence industry trends, positioning them at the forefront of technical advancements in business operations.

Company Stage

Series A

Total Funding

$25M

Headquarters

San Francisco, California

Founded

2023

Growth & Insights
Headcount

6 month growth

24%

1 year growth

24%

2 year growth

24%