About the role

We are looking for Senior ML Engineers who are passionate and ready to tackle some of the most meaningful problems in the industry — from training AI models for bot-supported conversations, to designing next generation semantic search experiences, to summarizing conversations across the buyer journey and across channels.

As a Senior ML Engineer, you’ll be working closely with your Tech Lead and Product partners to build out solutions from conceptualization to production.

You may be involved in creating infrastructure that classifies billions of messages a minute to extract buyer intent and sentiment for conversations. You could also build tools to evaluate and visualize model quality so our customers can zero in on giving the best buying experience.

You may be a fit for this role if you:

• Can put yourself in the shoes of our customers to unite data, models & code to craft fantastic experiences
• Enjoy working on training models, building backend services, MLOps/DevOps, or anywhere it takes to solve problems and delight customers
• If you're exceptional in a few areas (ex: you're a PyTorch master or a Kubeflow guru)
• Develop data pipelines and other modern big data processing systems
• Have advanced knowledge in Python or another programming language and at least one machine learning framework
• Have experience designing and building scalable infrastructure that enables deploying machine learning models at scale for real-time predictions, leveraging technologies like Kubernetes, Terraform, and Spark.
• Design databases and make storage choices for efficient ML data management
• Take pride in breaking down complex problems to make visible progress. We approach ML modeling and infrastructure iteratively, showing results with the simplest solution first, then improving.
• Enjoy working with a diverse group of people with different expertise
• Can stitch together many different services and processes together even if you have not worked with them before
• Uphold quality standards in engineering, security, and design

What you’ll be doing on the team:Day 1 you will 

• Use your onboarding time to learn how things work here and to practice writing and shipping software that makes our customers successful
• Start to dig in and get the basics down about our customers 
• Learn Drift-specific systems, product information, and review paperwork (we have to get that out of the way). 
• Have lunch with your manager and maybe your team 

By the end of week 1 you will 

• Get to know your customer - Every team at Drift owns a different area of the product and our Customers are a super important ingredient to how we build products! 
• Have received a first look into Drift engineering systems, culture and product process through various conversations;
• How Product Works at Drift 
• Engineering Path of Success/ Path of Failure 
• Auth & Debugging at Drift 
• Customer-centered Engineering 
• Review of Drift SDLC 
• Have transitioned from onboarding to your new team 
• Have your local dev environment set up and you will have completed your First-day ship!!! 

By the end of month 1 you’ll 

• Meet all of your members from Design to Product and Customer Advocate! 
• Work with your tech lead to identify the “small rocks” (aka Team Goals) for your first month along with any other goals. 
• Also work with your tech lead to develop your list of personal/ professional goals. 
• Get an intro to chat duty and how our CA team interacts with our customers on a daily basis.
• Ramp up by engaging in these product processes at Drift;
• Take ownership of a “small rock” from a 1-pager
• Contribute to story time 
• Participate in a green-lit kickoff 
• Write code toward your “small rock” 
• #Shipyard a completed product 
• Measure your impact!