Job details
Job type full-time
Full job description
The opportunity
Digits is hiring passionate, collaborative, customer-driven engineers who share in our belief that modern business software can be intelligent, fast, fluid, beautiful, and even joyful to use.
We believe that small businesses everywhere deserve the same cutting-edge technology that is currently available only to the largest tech companies, and that recent advances in deep learning have unlocked a new chapter in financial software and business operations.
We leverage state-of-the-art deep learning to solve critical customer problems, while investing heavily in seamless, automated mlops infrastructure to allow our ml engineers to stay focused on innovative projectsWe prioritize a high-ownership, low-overhead approach to machine learning, where you`ll be expected to build, launch, and operate ml projects end-to-end.
Our team has experience shipping products at massive scale, with backgrounds at crashlytics, twitter, google, airbnb, and many others, and we`re constantly learning and exploring new technologies and techniques in our quest to ship amazing business software powered by machine learning.
What you`ll bring:
2+ years of experience developing and training models in either pytorch or tensorflow
Proficiency with deploying and maintaining machine learning models in production
Proficiency with transformer models and/or natural language processing
Proficiency with relational databases and sql
Proficiency with natural language processing, transformer models and/or embedding generation
Familiarity with test-driven development
Familiarity with git and github
Familiarity with google cloud or aws machine learning products
Desire to work remotely full-time (from home or a co-working space)
Excellent spoken and written communication skills (english)
Obsession for delighting customers
Nice-to-haves:
Experience in one or more areas: knowledge graphs, probabilistic ml, ml privacy, semi-supervised model training, mlops
Familiarity with kubernetes or container orchestration
Familiarity with tensorflow extended, kubeflow pipelines or other mlops tooling
Educational background in machine learning or artificial intelligence
Experience with or interest in analytics dashboards
Experience with or interest in finance/accounting
Get in touch!
If you`re excited to push the bounds on what people imagine financial software can be, we`d love to talk!
