Careers
Join us to take the 'artificial' out of AI
Open positions
We are looking for the brightest minds to revolutionize human + AI collaboration. You will be a founding employee of Jenni and play a significant leadership role in shaping our company culture.
You can deliver with little guidance, learn fast and adapt to changing product requirements. Being in a startup is fast-moving and risky - and this is precisely the environment you thrive in.
We are a distributed remote team. Work schedule is timezone-flexible and fully remote, with flexible paid-time-off.
Software Engineer (Full-Stack)
As a full-stack software engineer, you are a generalist capable of building both the front and back end of the application. You are our core product builders for Jenni. You have a breadth of programming knowledge and the ability to deliver out-of-the-box solutions for challenging problems. Your responsibilities will extend from designing system architecture to high-level programming, performance testing, and systems integration. You should have advanced programming skills, experience with application development, and excellent troubleshooting skills.
Qualifications
Excellent programming skills in JavaScript/TypeScript in both web and Node JS.
A solid understanding of data structures, algorithms, and functional programming.
Excellent at creating highly optimized and interactive web experiences with React and MobX.
Familiarity with real-time technologies for developing collaborative applications such as gRPC and WebSockets.
Experience working with serverless architectures and cloud functions (on Google Cloud or equivalent).
Experience with using database systems such as Firebase, PostgreSQL, or NoSQL.
Preferred Qualifications
Experience with Python and deploying machine learning models.
Experience with developing Chrome extensions.
Experience working in an agile development environment and test-driven development.
Strong communication (English) and interpersonal skills along with the drive to work in a rapidly changing startup environment.
Machine Learning Engineer
Machine learning (ML) engineers at Jenni produce research breakthroughs and bring cutting edge technologies to practice. As an ML Engineer, you will develop, prototype and deploy deep learning models and algorithms to solve a wide variety of problems.
Qualifications
Advanced understanding of deep learning with applications in sequence modeling and natural language processing.
Experience with cutting edge deep learning methods such as transfer learning, with a solid understanding of recurrent neural networks and attention-based architectures (e.g., Transformers).
Excellent Python programming skills and experience with PyTorch.
Strong communication and interpersonal skills with the ability to disseminate and present highly technical research papers.
Preferred Qualifications
At least one first-author deep learning paper published in a peer-reviewed conference (such as ACL, EMNLP, NeurIPS, AAAI, ICLR, ICML etc.).
Ability to propose interesting and novel research topics.
Experience with distributed training on GPUs and working on Kubernetes.
Experience deploying deep learning systems to production environments.