This job is no longer available

The job listing you are looking has expired.
Please browse our latest remote jobs.

See open jobs →
← Back to all jobs

Software Engineer (Machine Learning) - Connectly

Hybrid

Added
26 days ago
Type
Full-time
Salary
Not Specified

Apply Now

Save job

Related skills

slack art data branding nlp

AtConnectlywe 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 Connectlyyou will join a VC-backed series A startup,

work with our world-class team, andexperience rapid career advancement opportunities.

About the team: CEOStefanoswas the global Head of Messenger at Facebook. CTOYandongwas CTO of Strava. Otherfounding membershave 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)
  • Must have BS/MS/PhD in Computer Science
  • 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
  • Additional Information

    Connectlyis an equal opportunity employer. We’re committed to building a diverse, inclusive, and supportive workplace that is distributed around the world.

    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!

    Apply for this position

    This employer gathers applications via their own applicant tracking system.
    You will be redirected to an external application form.
    Share job

    Help us maintain the quality of jobs posted on Empllo!

    Is this position not a remote job?

    Let us know!
    Similar Engineering Jobs
    See more Engineering jobs →
    Affirm logo
    Atmosera logo
    Full-Time
    💰 Undisclosed salary
    Kong logo
    Kong logo
    Hybrid only
    Full-Time
    💰 Undisclosed salary