Machine Learning Engineer - Research at Level AI

Noida, Uttar Pradesh, India

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Voice AI, Speech AIIndustries

Requirements

Bachelor's in Computer Science or mathematics-related fields with 2+ years of experience in Machine Learning and NLP
Proficient in Python, NLP knowledge and practical experience in solving NLP problems (text classification, entity tagging, information retrieval, question-answering, natural language generation, clustering, etc.)
Knowledge and experience with data engineering, basic machine learning concepts, data mining, feature extraction, pattern recognition
Knowledge and hands-on experience with Transformer-based Language Models (BERT, DeBERTa, Flan-T5, GPT, Llama, Gemma, DeepSeek, etc.)
Deep familiarity with Model Training concepts, model inference optimisations, GPUs
Experience with Deep Learning frameworks like PyTorch and common machine learning libraries (scikit-learn, numpy, pandas, NLTK, transformers, etc.)
Experience with ML model deployments using REST API, Docker, Kubernetes
Knowledge of cloud platforms (AWS/Azure/GCP) and their machine learning services (desirable)
Knowledge of basic Data Structures and Algorithms
Knowledge of Multimodal models (plus)
Knowledge of real-time streaming tools/architectures like Kafka, Pub/Sub (plus)

Responsibilities

Understand customers’ needs and innovate using cutting-edge Machine Learning techniques to build data-driven solutions
Work on NLP problems (text classification, entity extraction, summarisation, generative NLP, etc.)
Collaborate with cross-functional teams to integrate/upgrade AI solutions into company’s products and services
Optimise existing machine learning models for performance, scalability and efficiency
Build, deploy and own scalable production NLP pipelines
Build post-deployment monitoring and continual learning capabilities
Propose suitable evaluation metrics and establish benchmarks
Keep abreast of SOTA techniques in your area and exchange knowledge with colleagues
Learn, implement and apply latest emerging model architectures (like LLMs), inference optimizations, distributed training, using open-source models, etc

Skills

Key technologies and capabilities for this role

PythonMachine LearningNLPText ClassificationEntity ExtractionSummarisationGenerative NLPLLMsModel OptimizationScalabilityProduction PipelinesDistributed TrainingInference Optimizations

Questions & Answers

Common questions about this position

What experience level is required for this Machine Learning Engineer role?

A Bachelor's in Computer Science or mathematics-related fields with 2+ years of experience in Machine Learning and NLP is required.

What are the key technical skills needed for this position?

Proficiency in Python, practical experience solving NLP problems like text classification and entity tagging, hands-on experience with Transformer-based models like BERT and GPT, and familiarity with PyTorch, scikit-learn, and deployment tools like Docker and Kubernetes are essential.

Is this a remote position or does it require working in an office?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What is the team like at Level AI?

You will work directly with a team of experienced technologists from Amazon Alexa, Google, and other leading AI organizations, with the freedom to pave a new path.

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

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

Remote Work Options

Parental Leave

401(k) Retirement Plan

Risks

Emerging competition from other AI platforms threatens Level AI's market share.

Rapid AI advancements could render Level AI's offerings obsolete without continuous innovation.

Data privacy regulations may impact operations, especially with new monitoring features.

Differentiation

Level AI integrates human and machine intelligence for enhanced customer experience.

The company eliminates data silos, improving decision-making and customer interactions.

Level AI's subscription model offers steady revenue and customer retention.

Upsides

Increased demand for AI-driven customer service solutions boosts Level AI's market potential.

Growing interest in real-time conversational intelligence tools enhances call center performance.

Rising adoption of generative AI technologies automates tasks and personalizes interactions.

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