Multimodal Large Language Models AI Engineer (AI)

Multimodal Large Language Models AI Engineer

Company

Headroom Inc.

Conditions

Full-time Middle 🇺🇸 USA 💻 Development 🏠 Remote Job description

Job Description

San Francisco based AI for meetings startup is looking for experienced backend engineers. We’re developing a next generation real-time video communications platform, working at the cutting edge of real-time communications and human centered artificial intelligence. If you’re interested in making a large impact and are comfortable working in a fast paced, self-supervised environment, come join us! As a senior AI Engineer, you will be working in a fast-paced environment which needs a mindset of a startup and an entrepreneur that is not hesitant to constantly shift gears, test and learn.

Responsibilities

• Research, design and implementation of machine learning/deep learning algorithms to support a real-time NLP data analytics platform for summarization, sentiment analysis, and topic discovery.
• Benchmarking and fine tuning of machine learning/deep learning algorithms
• Optimizing algorithms for real time in the cloud.
• Support algorithm integration into Headroom product.
• Stay up to date with tech, prototype with and learn new technologies, proactive in technology communities.
• Deliver on time with a high bar on quality of research, innovation and engineering
• Develop & maintain NLP Pipeline for Document Data Extraction semantics and sentiment processing and understanding.
• Create products that provide a great user experience along with high performance, security, quality, and stability.

Qualifications

• MS or Ph.D in Computer Science, Electrical Engineering or related field with focus on machine learning, computer vision, speech processing, natural language understanding, human machine interaction, or similar.
• 3+ years of work experience in designing and developing enterprise-scale Large Language Model solutions in one or more of: Named Entity Recognition, Document Classification, Document Summarization, Topic Modeling, Dialog Systems, Sentiment Analysis.
• 3+ years of work experience with transformer based language models
• Knowledge of GPT-X, HuggingFace Transformers
• Experience with fine-tuning and model optimizations (for inference speed / cost)
• Experience with Vision Based Transformers
• Knowledge of MLOps stacks such as GCP, Docker, REST APIs, scaling
• Experience in setting up supervised & unsupervised learning cloud NLP models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization, and distillation.
• Fluency in programming languages including but not limited to Python.
• Proficiency in PyTorch and TensorFlow.
• Consistent track record of researching/inventing and shipping advanced machine learning algorithms based on NLP.
• Outstanding communication and interpersonal skills with ability to work well in cross functional teams.
• Published research on signal processing NLP, NLU or multimodal AI is a plus.
• Being a committer or a contributor to an open source project is a plus.

Tech Stack

• Go
• Kubernetes
• Terraform
• Typescript
• React
• GraphQL
• Python
• TensorFlow
• Github
• Google Suite
• Slack
• Adobe CS
• Figma
• Notion
• gRPC
• WebRTC
• Pytorch
• JavaScript
• Elastic Search
• PostgreSQL
• Segment
• Mixpanel
• Linear

Perks & Benefits

• Work from anywhere
• Flexible PTO
• Health, Dental, & Vision
• Competitive salary
• Computer and software setup
• Company outings

The Team

• Andrew Rabinovich — Co-Founder & CEO
• Jon Pappas — Head of Product
• Chloe Robertson — Product Marketing Lead
• Karim Rahemtulla — Customer Success
• Luis Orlando Carrión Ortiz — Director of Engineering
• Warren Van Winckel — Director of Engineering
• Josh Runge — Frontend Software Engineer
• Pedro Garzon — Senior Machine Learning Engineer
• Ivy Chang — Lead UX/UI Designer
• Zachary Gilbert — Senior Software Engineer
• Mahdi Feroze — Senior Data Engineer

Apply for this job Please mention "I found this job at Remocate!"

Показать контакты