Software Engineer (Machine Learning) - Connectly
San Francisco Bay Area
Unusual Ventures
Unusual Ventures is raising the bar for what founders should expect from their venture investors and enabling startups with the support they need to be successful.
At Connectly we are building a revolutionary e-commerce experience on WhatsApp. Unlike traditional shopping experiences where you have to download an app, or sign up on a website, we allow customers to engage and transact directly within the thread.
By choosing Connectly you will join a VC-backed series A startup, work with our world-class team, and experience rapid career advancement opportunities.
About the team: CEO Stefanos was the global Head of Messenger at Facebook. CTO Yandong was CTO of Strava. Other founding members have experience working for Google, Facebook, Uber and other startups.
Connectly is on a mission to create a best-in-class conversational commerce solution. We're in search of an experienced software engineer who can contribute significantly across the entire machine learning lifecycle and develop practical ML applications. In this role, you'll work on our conversational AI bots, enhance our e-commerce search and retrieval platform, and refine our product recommendation systems. Your key responsibility will be to bring our machine learning capabilities to life, directly impacting our customers' experience.
This is a hybrid role and we'll collaborate in our San Mateo office 3 days a week. Please be aware that due to the low success rate of the H1B visa lottery, we are unable to sponsor new visa applications.
We're a remote-first company with clients and team members across the world. We allow you to work from anywhere in the world anytime you prefer, as long as you are able to stay on top of deliverables and are able to overlap with the scheduled team meetings and close collaboration hours. (location-specific legal requirements permitting). At the same time we are also experimenting with hybrid work models, so please don't let that discourage you from applying!
We're looking to cultivate a highly creative, motivating, and collaborative environment as we aim to move fast and build quickly. Talk to us if you are interested!
By choosing Connectly you will join a VC-backed series A startup, work with our world-class team, and experience rapid career advancement opportunities.
About the team: CEO Stefanos was the global Head of Messenger at Facebook. CTO Yandong was CTO of Strava. Other founding members have experience working for Google, Facebook, Uber and other startups.
Connectly is on a mission to create a best-in-class conversational commerce solution. We're in search of an experienced software engineer who can contribute significantly across the entire machine learning lifecycle and develop practical ML applications. In this role, you'll work on our conversational AI bots, enhance our e-commerce search and retrieval platform, and refine our product recommendation systems. Your key responsibility will be to bring our machine learning capabilities to life, directly impacting our customers' experience.
This is a hybrid role and we'll collaborate in our San Mateo office 3 days a week. Please be aware that due to the low success rate of the H1B visa lottery, we are unable to sponsor new visa applications.
Requirements
- 3+ years of work experience as a software engineer
- A strong programming background with a lot of hands-on experience in building large-scale production systems
- A strong algorithmic background and like intellectual challenges and solving complex problems
- Good understanding of machine learning fundamentals like regression, classification, ranking, neural networks, and sequence models for text/speech
- Experience with ML(transformer models)
- Bonus: familiarity with common ML Ops tooling/platforms (i.e.) Weights and Biases, Anyscale, Sagemaker, etc...
- Bonus: familiarity with the AWS ecosystem.
- Bonus: past projects building agentic language chains
Responsibilities
- Design and develop Connectly’s state-of-the-art AI Marketing platform
- End-to-end responsibility from developing a proof of concept to production
- Own the whole ML life-cycle, define projects and drive excellence across teams
- Work alongside the world’s leading engineers and researchers to solve some of the most exciting generation and prediction problems
- Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
- Experimenting with new techniques for recommender systems
- Suggest, collect and synthesize requirements and create effective feature roadmap
We're a remote-first company with clients and team members across the world. We allow you to work from anywhere in the world anytime you prefer, as long as you are able to stay on top of deliverables and are able to overlap with the scheduled team meetings and close collaboration hours. (location-specific legal requirements permitting). At the same time we are also experimenting with hybrid work models, so please don't let that discourage you from applying!
We're looking to cultivate a highly creative, motivating, and collaborative environment as we aim to move fast and build quickly. Talk to us if you are interested!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Classification Conversational AI E-commerce Machine Learning Recommender systems SageMaker
Perks/benefits: Signing bonus Startup environment
Region:
North America
Country:
United States
Job stats:
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Categories:
Engineering Jobs
Machine Learning Jobs
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