Level AI is a Mountain View, CA-based startup innovating in the Voice AI space. We are backed by top VCs, technologists from Silicon Valley and industry experts. We are on a mission to revolutionize the customer sales experience for businesses. We are innovating in speech AI, NLP and information retrieval systems to bring customers and businesses closer to one another. As one of the critical members of the Level team your work will be new and of the highest impact to shape the future of AI in businesses. You will directly work with a team of experienced technologists to identify and solve a new set of problems. The team has experience from Amazon Alexa, Google, and other leading AI organizations. You will have the freedom to pave a new path to achieve our mission.

What you'll be liable for:

Big picture: Understand customers needs and innovate and use cutting-edge Machine Learning techniques to build data-driven solutions
Work on NLP problems across areas such as text classification, entity extraction, summarisation, generative NLP, and others
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
Desire to learn, implement and apply latest emerging model architectures (like LLMs), inference optimizations, distributed training, using open-source models, etc

We'll love to explore more about you if you have:

Bachelors 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 in areas such as 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, etc
Knowledge and hands-on experience with Transformer-based Language Models like BERT, DeBERTa, Flan-T5, GPT, Llama, Gemma, DeepSeek, etc
Deep familiarity with Model Training concepts, model inference optimisations, GPUs, etc
Experience with Deep Learning frameworks like Pytorch and common machine learning libraries like scikit-learn, numpy, pandas, NLTK, transformers, etc
Experience with ML model deployments using REST API, Docker, Kubernetes, etc
Knowledge of cloud platforms (AWS/Azure/GCP) and their machine learning services is desirable
Knowledge of basic Data Structures and Algorithms
Knowledge of Multimodal models is a plus
Knowledge of real-time streaming tools/architectures like Kafka, Pub/Sub is a plus

To know about us: https://thelevel.ai/

Funding : https://www.crunchbase.com/organization/level-ai

LinkedIn: https://www.linkedin.com/company/level-ai/

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Machine Learning Engineer - NLP