Applied Machine Learning Engineer
Vital
👉 TLDR;
🌎 Location: Remote
📝 Job type: Full-Time
💰 Salary: $90- 200k + share options (U.S. + Latam)
⏰ Time Zone: GMT-3 to GMT-6.
💪 Core Skills: Python, Go, Postgres.
🫵 WHY WE'RE LOOKING FOR YOU
''We are looking for an exceptional product-minded engineer to help us scale Vital and meet the market pull for our products across the US.
You'll be joining us at the most exciting possible time. We raised investment from world-class investors like Point Nine, 20VC, YC and 10+ renowned founders turned angels. Since then we've been heads down building and shipping products our customers love - now we're ready to scale. We believe in staying lean and are looking for the best software engineers in the world to make our mark in health.
We’re a team of AI, ML specialists and health techies who have worked at companies like Apple, SpaceX, Ro, Lyft & Babylon Health. You won't be 'just another engineer' at Vital, you'll be core to driving growth of our product, team and company as we go from start-up to scale-up. If you're looking to join a company through 10x growth, Vital is for you.'' - Maitham Founder & CEO Vital
👩💻 WHAT TO EXPECT
Write production-level machine learning models
Executing cutting-edge ML techniques to predict healthcare diseases using EMR, Wearables and Lab testing data.
Making infrastructural choices in order to ensure that the trained models scale well across hundreds of millions of timeseries data points.
Collaborate with the team to build internal tools to support our company mission
Working with domain experts in the health field to incorporate their knowledge into trained models
Have strong impact on innovative engineering projects
Running unsupervised anomaly detection on millions of heterogeneous timeseries data
Shining a bright light on black-box models to make all anomalous signals easily interpretable
Interacting with domain experts and encoding their experience into simple heuristics. Pushing these heuristics to production for the purposes of weak supervision
Training large-scale, weakly-supervised ML models using tools like Snorkel. Making sure these models are interpretable
Tweaking models using expert feedback. Building dashboards to solicit that feedback using human-in-the-loop training techniques
Experimenting with transformer model applications using the Pytorch / Tensorflow libraries
👾 OUR TECH STACK
Python(Fast API), Go, Typescript, React, React Native, GCP.
🔝 YOU'LL THRIVE IF
You like to wear many hats. We are a small but mighty team, with a lot of things yet to be figured out. You are comfortable operating in such an environment.
You are comfortable with owning features and being the driving force behind them. We don’t have Product Managers. Engineers are responsible for managing their work.
🖥 TEST OUR APIS
📇 HIRING MANIFESTO
Read before applying, https://vital-api.notion.site/Hiring-Manifesto-1e9ac70f96fd4becb3fe1e9868ca1835?pvs=74