Machine Learning Engineer (NLP) 

October 13, 2022

Job Description

Job Description  
 
 
  This is a remote position.Who you
are
  
    You care more about solving
customers’ problems and building a delightful experience than about using a
particular technology to do it.
    People describe you as
“extremely productive.”
    You are excited about working on
a small team and helping us set the long-term vision for our engineering organization
and product direction.
    You have a strong grasp of
engineering and ML fundamentals.
    You stay up to date with the
latest research in AI.
    You’re flexible, trustworthy,
energetic, and a great communicator.
    You like to quickly learn and
implement new technologies, and perform POC to explore the best solution for
the problem statement.
   What you’ll do
  
    Take ownership of Writesonic’s AI
models and architecture, all the way to deploys, monitoring, debugging, and
overall reliability.
    Research the market and
competition, and come up with new features or ways to improve the
system.
    Ship major features often,
iterate on those features, and build out our core AI infrastructure.
    Be exposed to every level of the
company, working closely with the CEO to meet business goals and working off
customer feedback.
   Required Technical Skills and
Qualifications
  
    3+yrs of industry experience as a
machine learning and software engineer. Ideally, with a focus on
NLP/NLU/NLG.
    BSc, MSc, Ph.D. degree from a
reputed university in Computer Science, Machine Learning, Statistics, or
related technical field.
    Experience with building,
deploying, and scaling production-level AI applications.
    You can read a research paper or
mathematical description of an algorithm/model and translate that paper into
high-quality code.
    Experience building backend
systems at scale with a focus on data processing/machine
learning/analytics.
    Experience building
microservices.
    Experience with Python
(recommended), Go, and/or Java/Scala.
    Experience with SoTA modeling
techniques, such as transformers (e.g., BERT, GPT-N)
    Experience with using code for
NLP/NLG/NLU (NLTK, Gensim, spaCy, TensorFlow, Pytorch, etc.)
   Our TechnologyAI
  
    GPT-based AI models
    BERT, BART, and other
transformers models
   Frontend
  
    NextJs/React with Redux
    TypeScript
    tailwindcss
   Backend
  
    Python (FastAPI)
    PostgreSQL
    Kubernetes for deployment and
orchestration
  
  
   
  
 
 
             I’m interested