(Full Time) Full-Stack Infrastructure/ML Engineer at 222 (United States) | BEAMSTART Jobs
Full-Stack Infrastructure/ML Engineer
222 United States
Date Posted: 01 Apr, 2023
Work Location: Los Angeles, CA, United States
Salary Offered: $100000 — $125000 yearly
Job Type: Full Time
Experience Required: No experience required
Remote Work: No
Stock Options: Yes
Vacancies: 1 available
full time | los angeles, ca
About 222:
We’re an incredibly early stage startup working on building the future of social. We are not excited about a future where humans spend the majority of their day in a virtual world. By facilitating genuine human connections, we're building a product that swings the pendulum in the other direction. We’re backed by an incredible set of investors including General Catalyst, Y Combinator, Goodwater Capital, 1517 Fund, and more.
What you’ll be doing:
- You will be joining 222 as one of its first full-time engineering hires - spearheading all things back-end engineering, ML, front-end, & infrastructure - you’ll be working directly with the CTO to scale our back-end and build a world-class engineering team.
- Heading back-end development focused on APIs & ML.
- Working with other engineers & founders to accelerate infrastructure reliability through testing, system design, & data analysis.
- Build a company-wide set of engineering principles & code quality.
Who you are:
- You’re passionate about solving the problem 222 is tackling.
- Demonstrated history of building outside of work/school (projects/products, applications, music, art, etc.).
- Regardless of personal experience, you’re excited about wearing different hats across ML, back-end engineering & architecture.
- You have experience working with web frameworks, microservices, & APIs.
- You have experience scaling the backend/infrastructure of a live software product.
- You have experience working with Flask, Python & Docker.
- You have experience working with & understand deeply:
- Linear Regression, Logistic Regression, Dtree, Random Forest.
- K-Nearest Neighbour, Support Vector Machine.
- Single Layer Perceptron, Multi-Layer Perceptron, Feed Forward.
- CNN, RNN, LSTM, GRU, BERT.
- Naive Bayes, Markov-Model, Graph Models, etc.
- You have a strong stance on the ethics surrounding user psychology in social products.
- Bonus: you have experience building social-recommender systems using graph neural networks.
- Bonus: you have experience writing/shipping front-end code in an Agile Software Lifecycle (HTML/CSS/Javascript, Node, React).
We’re looking for this type of person:
????? machine learning researcher & engineer
???? first principles thinking
????? history of building things from scratch
?????? strongly opinionated about our current social fabric and its future
What we’re offering:
???? competitive salary + equity
???? a chance to join an extremely early-stage startup backed by an incredible set of investors
????? the opportunity to work IRL with a team of co-workers and hopefully friends :)
What is 222?
We're not a dating app. We're not a friend-making service. We're a platform for unique social experiences. No profiles, no DMs, no scrolling, no swiping. Just say 'yes' & explore the chance encounters you'd have never experienced.
About 222
Marketplace facilitating IRL social experiences at local venues
Company Size: 1 - 5 People
Year Founded: 2021
Country: United States
Company Status: Actively Hiring
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