Machine Learning Engineer
HangSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Consumer SoftwareIndustries
Requirements
Candidates should have a strong background in machine learning and natural language processing, with experience in developing and deploying machine learning models. Proficiency in advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, and ensemble learning is required. A solid understanding of data processing, analysis of complex datasets, and experience with model validation techniques is essential. Strong communication skills to convey technical concepts to diverse audiences are also 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 algorithms to improve AI performance, lead the analysis of large datasets, and manage the complete lifecycle of ML model development. Responsibilities include conducting A/B testing to validate models and developing automated testing processes to ensure model integrity, while effectively communicating technical details to stakeholders.
Skills
Machine Learning
Large Datasets
Transformer-based models
Reinforcement Learning
Ensemble Learning
Agent-based systems
Natural Language Processing
Information Retrieval
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