Senior Machine Learning Engineer
Fieldguide$188,000 - $213,500/year
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Enterprise Software, Contact Center TechnologyIndustries
Job Description
Position Overview
- Location Type: Remote
- Employment Type: Full Time
- Company: Level AI
Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionizes customer engagement by transforming contact centers into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organizations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry. Empowering contact center stakeholders with real-time insights, our tech facilitates data-driven decision-making for contact centers, enhancing service levels and agent performance. As a vital team member, your work will be cutting-edge technologies and will play a high-impact role in shaping the future of AI-driven enterprise applications. You will directly work with people who've worked at Amazon, Facebook, Google, and other technology companies in the world. With Level AI, you will get to have fun, learn new things, and grow along with us. Ready to redefine possibilities? Join us!
Requirements
- Education: B.E/B.Tech/M.E/M.Tech/PhD from tier 1 engineering institutes
- Experience: 3-5 years of relevant work experience with a top technology company in computer science or mathematics-related fields.
- Technical Skills:
- Machine Learning and NLP
- Transformer-based Language Models (BERT, DeBERTa, Flan-T5, Mistral, Llama, etc.)
- Deep Learning frameworks (Pytorch)
- Common machine learning libraries (scikit-learn, numpy, pandas, NLTK)
- ML model deployments (REST API, Docker, Kubernetes)
- Cloud platforms (AWS/Azure/GCP) – desirable
- Basic data structures and algorithms
Responsibilities
- Understand customers’ needs and innovate using cutting-edge Deep Learning techniques.
- Work on NLP problems across areas such as text classification, entity extraction, summarization, generative AI, and others.
- Collaborate with cross-functional teams to integrate/upgrade AI solutions into the company’s products and services.
Application Instructions
- (No specific application instructions provided in the text.)
Skills
Machine Learning
NLP
Transformer-based Language Models
BERT
DeBERTa
Flan-T5
Mistral
Llama
Deep Learning
PyTorch
scikit-learn
numpy
pandas
NLTK
REST API
Docker
Kubernetes
AWS
Azure
GCP
Data Structures
Algorithms
Level AI
Enhances customer experience through intelligent automation
About Level AI
Level AI enhances customer experience by integrating human and machine intelligence, primarily serving the Business Process Outsourcing (BPO) industry, including call centers and customer service departments. The company provides software solutions that analyze and optimize call center data, breaking down data silos to ensure all relevant information is accessible for better decision-making and improved customer interactions. Level AI operates on a subscription model, charging clients for access to its platform and tools. Its technology boosts sales team conversion rates and increases the productivity of Quality Assurance (QA) teams, leading to reduced QA costs. By focusing on intelligent automation and data integration, Level AI helps clients achieve significant performance improvements and cost savings, setting it apart from competitors in the BPO sector.
Mountain View, CaliforniaHeadquarters
2018Year Founded
$72.4MTotal Funding
SERIES_CCompany Stage
Enterprise Software, AI & Machine LearningIndustries
51-200Employees