Remote Full-stack/Machine Learning Engineer Jobs

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.

About the role:

We, at Turing, are looking for talented remote full-stack/machine learning engineers who will be responsible for developing and growing the infrastructure and large-scale systems to deliver AI-based and analytical solutions to businesses. Get a chance to work with the leading Silicon Valley companies while accelerating your career.

Job responsibilities:

• Develop large scale systems infrastructure and data analytics pipeline
• Collaborate with designers, data scientists, and engineers to conceptualize new product features and productionize the modules
• Research and implement ML algorithms and tools to develop ML systems
• Analyze large and complex datasets to derive valuable insights
• Take ownership of delivering production-grade code
• Share ideas for designing great UX, simple and clean interfaces
• Implement best practices and guidelines to enhance the existing ML infrastructure
• Work within an interdisciplinary environment

Job requirements:

• Bachelor’s/Master’s degree in Engineering, Computer Science, Mathematics (or equivalent experience)
• At least 3+ years of enterprise-grade, ML-based system development (rare exceptions for highly skilled developers)
• High-level proficiency in advanced math, statistics and surrounding subjects such as linear algebra, calculus and Bayesian statistics
• Experience with any or more languages including Go/Golang, Clojure, Python 3.x
• Knowledge of traditional SQL databases and modern graph database technologies like Datomic
• Sound knowledge of DevOps, infrastructure, and continuous integration concepts
• Experience with web framework and ORM
• Strong understanding of JavaScript and browser ecosystem, event loop, etc.
• Familiarity with any modern JavaScript framework like React
• Expertise in building complex systems
• Fluency in English language for effective communication
• Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones