Machine Learning Engineer

Found in: Jooble US O C2 - 2 weeks ago


San Francisco CA, United States Writesonic Full time

Full Time] Machine Learning Engineer (NLP) at Writesonic (United States) | BEAMSTART Jobs Machine Learning Engineer (NLP)
Full Time
Remote Work
Stock Options
Writesonic's AI-powered writing assistant is used by 200,000 businesses and individuals to automate their writing and save 80% of their time and energy. Writesonic can automatically create articles, blogs posts, ads, landing pages and product descriptions by just inputting absolutely minimal amounts of text.
Our customers love us, as evidenced by the 5000+ 5-star reviews on platforms like G2, TrustPilot, and Capterra.
We are building a real business fueled by real revenue — not just venture capital.
We're a small, creative, and hard-working team looking for people with a founder mindset to join us. You are serious about building and can wear many hats. We are expanding the functionality of our application based on market requirements and customer feedback. So, we are looking for talented AI/ML engineers who can understand our domain, research the market, own the application and drive the development of new AI models for building customer-requested features from the ground up.
We're looking for someone who is serious about building, and who can wear many hats. You care more about solving customers' problems and building a delightful experience than about using a particular technology to do it.
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're flexible, trustworthy, energetic, and a great communicator.
Take ownership of Writesonic's AI models and architecture, all the way to deploys, monitoring, debugging, and overall reliability.
Ship major features often, iterate on those features, and build out our core AI infrastructure.
3+yrs of industry experience as a machine learning and software engineer. 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, BART, and other transformers models
Frontend
NextJs/React with Redux
TypeScript
Backend
Python (FastAPI)
Kubernetes for deployment and orchestration
AI-powered content creation - #1 AI tool for Writing Blogs in seconds
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