AI Research Engineer

Posted 13 Hours Ago
San Francisco, CA
3-5 Years Experience
Software • Business Intelligence
The Role
Seeking an experienced AI research engineer to join a VC-backed series A startup and work on building a state-of-the-art sales assistant. Responsibilities include leveraging state-of-the-art research, contributing new experiment ideas, leading dataset collection efforts, and collaborating with ML and data engineers. Remote role with competitive pay and benefits offered.
Summary Generated by Built In

At Connectly we are building revolutionary conversational commerce experiences. Unlike traditional shopping 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 on a growth trajectory, 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.


We are seeking an experienced AI research engineer to join our team, building a state-of-the-art sales assistant. You'll work alongside other talented research, ML, data, and software engineers to ship innovative agentic systems.


This is an in-person role at our San Francisco office (FIDI). Please be aware that due to the low success rate of the H1B visa lottery, we are unable to sponsor new visa applications.

Responsibilities

  • Leverage state of the art research to improve our AI sales assistant
  • Contribute new experiment ideas to the team
  • Lead dataset collection/generation efforts
  • Model/inference optimization
  • Collaborate with ML and Data engineers on distributed training scripts

Requirements

  • > 3 years experience working with production AI systems
  • At least 1 publication as first author
  • Strong understanding of LLMs - should be able to build GPT-1 in NumPy and work out backpropagation by hand for transformer blocks.
  • Strong understanding of ML fundamentals
  • Experience with distributed training
  • Some exposure to production inference
  • Experience with PyTorch

  • Bonus:

  • Experience building Agentic systems with task-specific models.
  • Experience iterating AI products based on customer feedback.

We Offer

  • An amazing team to work with
  • Competitive pay & significant equity
  • Remote role
  • Health, dental, and vision insurance for you and your family
  • Unlimited Time Off
  • Flexible Work Hours
  • Top of the line workstation
  • A supportive, caring and learning environment

Connectly is 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!

Top Skills

Numpy
PyTorch
The Company
HQ: San Francisco, CA
32 Employees
Remote Workplace
Year Founded: 2020

What We Do

Connectly.ai is a conversational commerce company focused on simplifying how SMBs transform customer messages into revenue. Our tools centralize customer communications - across WhatsApp, SMS, Facebook Messenger and Instagram - removing the friction from message-driven sales and enabling businesses to treat their customers like people, not tickets.

Connectly.ai was founded in 2020 by former Big Tech executives who saw a need for smaller businesses to gain equity in conversational commerce, a market that is expected to become a $130B market by 2025, according to Forrester.

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