Full Stack Engineer (Analytics)
@ ShapedFull Stack Engineer (Analytics)
This job is still taking applications, but it's been up a while.
About the job
Shaped is an API company focused on personalized ranking and recommendation. We’re a remote, seed-stage startup with a talented team from Meta, Google, Apple, Uber, backed by top investors and committed to building innovative AI solutions.
Requirements
- 3+ years software engineering experience
- Strong programming and algorithms
- Knowledge of data structures
- Excellent communication skills
- Passionate problem solver
Qualifications
- B.S., M.S., or Ph.D
- in CS or related field
- Experience in analytics or machine learning
- Ability to work in a startup environment
- Familiarity with AI infrastructure
Full job description
Shaped is an API for developers to seamlessly add personalized ranking and recommendation into their products. These frictionless discovery experiences help end-users find what they want faster, and, consequently, grow conversion and engagement business metrics.
We’re a seed stage start-up backed by top-tier investors (e.g. Y-Combinator, Susa Ventures, Tribe Capital etc…) and executives (e.g. Google, Amazon, Uber, Dropbox etc…). Our team comes from Meta, Google, Apple and Uber. We’re a remote team but have a small office in Brooklyn, New York.
We are looking for a full-stack engineer to help build out monitoring and analytics tools to help our customers better understand the power of Shaped. You will be a founding engineer working on state-of-the-art AI infrastructure. As one of Shaped’s early employees you will help shape our product, culture and vision.
We’re excited to work with you. Come build the future of AI with us!
- B.S., M.S., or Ph.D. in Computer Science or another technical field
- 3+ years of industry experience in a Software Engineering role
- Strong foundation in programming, data structures, algorithms, and software application design
- Passionate about solving challenging problems and iterating quickly
- Previous experience in analytics, machine learning or data processing is advantageous.
- Excellent written and verbal communication skills.
- Salary $100K - $150K
- Equity 0.10% - 0.30%
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