Machine Learning Engineer
HangSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine LearningIndustries
Requirements
Candidates should possess a Master's degree or Ph.D. in Computer Science, Machine Learning, or a related field. Experience with machine learning techniques, particularly in Natural Language Processing and Information Retrieval, is required. A strong understanding of advanced algorithms, including Transformer-based models and reinforcement learning, is essential. Proficiency in processing large datasets and a solid foundation in statistical methods are necessary.
Responsibilities
The Machine Learning Engineer will conceptualize, develop, and deploy machine learning models for NLP, retrieval, ranking, reasoning, dialog, and code-generation systems. They will implement advanced machine learning algorithms to improve AI system performance and process complex datasets to inform model development. The engineer will oversee the complete lifecycle of ML model development, including defining problems, data exploration, feature engineering, and model validation. Additionally, they will conduct A/B testing to validate model effectiveness and communicate technical details to both technical and non-technical stakeholders.
Skills
Machine Learning
Transformer-based models
Reinforcement Learning
Ensemble Learning
Agent-based systems
Data Processing
Algorithm Implementation
Model Deployment
Ema
Develops enterprise AI solutions for workforce efficiency
About Ema
Ema develops and implements AI solutions specifically designed for businesses. Their main product is AI employees that can be customized through conversation to learn and perform tasks that exceed human capabilities, allowing companies to quickly expand their workforce. Ema's AI solutions focus on replacing traditional co-pilots with secure and compliant AI employees, meeting strict standards like SOC2, ISO27001, GDPR, HIPAA, and NIST. The EmaFusionTM model combines the strengths of over 100 large language models to deliver high accuracy at a low cost for various enterprise applications. Ema distinguishes itself from competitors by providing tailored solutions that empower businesses to enhance their operational efficiency. The company's goal is to help enterprises take control of their operations and achieve significant improvements in productivity through advanced AI technology.
Key Metrics
Mountain View, CaliforniaHeadquarters
2023Year Founded
$59.3MTotal Funding
SERIES_ACompany Stage
Cybersecurity, AI & Machine LearningIndustries
51-200Employees