Senior Machine Learning Engineer, webAI
Offers performance-based incentives
Unified execution layer for AI
Posted today
Unified execution layer for AI
21-100 employees
Posted today
Offers performance-based incentives
21-100 employees
Company mission
To revolutionize the AI industry by laying the foundation for the development of Super Intelligence (SI).
Role
Who you are
- 5+ years of experience in machine learning, with a focus on NLP and LLMs
- Bachelor’s (Master’s preferred) in Computer Science, Machine Learning, or related field
- Expertise in transformer architectures (e.g., GPT, BERT), text preprocessing, and feature engineering
- Proficiency in Python and NLP libraries (Hugging Face, TensorFlow, PyTorch)
- Experience with MLOps tools (MLFlow, Kubeflow, etc.)
- Strong communication skills and passion for learning
What the job involves
- We are seeking a Senior Machine Learning Engineer with expertise in Large Language Models (LLMs) and Natural Language Processing (NLP) to join our innovative team. This role will focus on developing and deploying state-of-the-art NLP models that power webAI’s platform. If you have experience in working with transformer models, language generation, and advanced text analytics, this is the perfect opportunity to apply your skills on groundbreaking AI technology
- You’ll collaborate closely with our research and engineering teams to design, build, and optimize models that work with both structured and unstructured language data. The ideal candidate will bring experience deploying production-level NLP models, as well as expertise in MLOps practices and scalable cloud infrastructure
- Design, build, and fine-tune LLMs and NLP models (e.g., GPT, BERT) for tasks like language understanding and generation
- Extend webAI’s existing LLM frameworks and libraries, incorporating the latest research in language models
- Preprocess and prepare text datasets for training, including tokenization and feature extraction
- Implement MLOps best practices for deploying scalable, production-level models on cloud platforms
- Collaborate with cross-functional teams to integrate LLM models into the webAI platform
- Stay updated on LLM advancements and apply the latest research to improve model performance
Our take
On a mission to democratize artificial intelligence, WebAI has built a decentralised development platform that minimises the amount of data required to build AI models. This directly challenges the assumption that big data is intrinsic to AI, and enables for local, ownable and customizable models to be made.
The company's unified execution layer helps to streamline the training and deployment of models in a way which is both scalable and flexible. Enterprises can use their existing infrastructure to run powerful models while ensuring their data never leaves their devices. Plus they can tailor each model to their needs with no coding needed.
WebAI believes that off-the-shelf AI models lack the flexibility and control required to be used in real-world tasks, which is what its platform helps to combat. This approach has attracted impressive investment that will be used to grow its development efforts and elevate its mission to democratise AI.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Sep 2024
$60m
SERIES A
Dec 2022
$17m
SEED
Total funding: $77m
Company benefits
- Performance-based incentives
- Comprehensive health, dental, and vision benefits package
- $200/mos Health and Wellness Stipend
- $400/year Continuing Education Credit
- Flexible work week
- Free parking for in-office employees
- Unlimited PTO
- Parental & Bereavement Leave
- Supplemental Life Insurance
Company HQ
Congress Avenue Historic District, Austin, TX
Leadership
David Stout
(Co-Founder & CEO)Also Founder at Ghost House Technology.
Ethan Baird
(Co-Founder & Chief Research Officer)Previously Software Programmer at Ghost House Technology and Web Technician at Revision Marketing and Design.
Tyler Mauer
(Co-Founder & Chief Innovation Officer)Previously Director of Product and Market at Ghost House Technology, and consulted at YETi, RANDY'S HOUSE and Shinola.
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