Senior Machine Learning Engineer
Fieldguide188,000 - 213,500 USD/year
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine LearningIndustries
Requirements
Candidates should possess a strong background in Machine Learning with experience in Natural Language Processing and Information Retrieval. Proficiency in advanced machine learning algorithms such as Transformer-based models, reinforcement learning, and ensemble learning is required. A solid understanding of data processing and analysis for large datasets, along with excellent communication skills to convey technical concepts to diverse audiences, is essential.
Responsibilities
The Machine Learning Lead will conceptualize, develop, and deploy machine learning models for NLP, retrieval, ranking, reasoning, dialog, and code-generation systems. They will implement advanced algorithms to enhance AI system performance, lead the analysis of complex datasets, and manage the complete lifecycle of ML model development. Responsibilities also include conducting A/B testing to validate model effectiveness and ensuring the robustness of solutions through automated testing and validation processes.
Skills
Machine Learning
Transformer-based models
Reinforcement Learning
Ensemble Learning
Agent-based systems
Natural Language Processing
Information Retrieval
Data Exploration
Feature Engineering
Model Training
Model Validation
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