Remote Machine Learning engineer

Job description
Job Description
We, at Turing, are looking for talented ML engineers who can build the most optimized product features applying high-end ML modeling techniques. Join forces with the top 1% of ML engineers and grow with the best minds.

Key responsibilities
- Building backend infrastructure, data pipelines, and/or machine learning models for our AI-backed product.
- Build working ranking models and automate modeling pipelines.
- Implement new features solving complex data management problems.
- Deploy machine learning models to end-users and running experiments.
- Build great ML models using computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.

Basic Requirements
- 2+ years of experience in engineering and machine learning methods.
- In-depth understanding of applied machine learning algorithms, especially NLP, and statistics.
- Experience in deploying models and algorithms in production.
- Proficiency in Python.
- Experience with both SQL and NoSQL databases
- Good testing skills
- Comfortable with data science as well as with the engineering required to bring your models to production.

About Turing.com

Turing’s mission is to unleash the world’s untapped human potential. We use AI to source, evaluate, hire, onboard, and manage engineers remotely (including the HR and compliance aspects) in a bigger platform that we call the “Talent Cloud”.

We recently achieved unicorn status with a valuation of $1.1B, after raising over $140M in financing over four rounds of funding. 900+ companies including companies like Johnson & Johnson, Pepsi, Dell, Disney +, and Coinbase have hired Turing developers.