Staff Machine Learning Engineer, Drift
$141-177k
Revenue acceleration platform for businesses
Job no longer available
Revenue acceleration platform for businesses
501-1000 employees
Job no longer available
$141-177k
501-1000 employees
Company mission
To empower businesses to boost revenue and build greater customer loyalty.
Role
Who you are
- Passion for scaling Machine Learning applications whether it be multimodal model serving and/or distributed preprocessing/training
- Being a technical expert on architectural decisions to help us scale!
- Engineers who enjoy driving best practices by facilitating code reviews and mentoring junior engineers
- Enthusiasm for owning projects from conceptualization to implementation
- Engineers with a sense of creating frameworks and products to enhance the work of others
- Have experience designing and building scalable infrastructure that enables deploying machine learning models at scale for real-time predictions
- Have a firm understanding of latency vs accuracy tradeoffs, and monitoring of server load, connection counts, host health and general app performance
- Have previous software engineering experience with distributed systems
- Can put yourself in the shoes of our customers to unite design & code and craft fantastic experiences
- Enjoy working on the backend to solve problems and delight customers
- You are a systems thinking and you have experience designing, building and maintaining REST APIs for use in production
- Have architected RESTful services and understand concepts such as batching, versioning, and idempotency
- You have experience in a server side programming language (Java//Python)
- Take pride in creating results quickly by breaking projects down. We execute on small pieces to generate visible results
- Enjoy working with a diverse group of people with different expertise across ML, Product, Design, and Software Engineering
- 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 the job involves
- As a Staff ML Engineer, you will drive the development of ML services, embedded with other Product teams to build out solutions from conceptualization to production, setting goals and milestones, synthesizing customer stories into a development plan
- You will be responsible for guiding architectural decisions, ensure excellent engineering quality and mentor engineers to do their best work!
- 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
- 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 manager to identify the “small rocks” (aka Team Goals) for your first month along with any other goals
- Also work with your manager to develop your list of personal/ professional goals
- 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!
Our take
Drift is trying to make the B2B buying and selling experience similar to that of a B2C one, by helping B2B businesses engage with their customers in a more personalized manner.
Drift's Conversation Cloud supplies conversational marketing, sales, and service to allow its clients to accelerate revenue by connecting with their target audiences in real-time via AI chatbots, voice, email, and video. The platform is powered by conversational AI, as well as utilizing smart integrations, and analytics.
The company serves over 5000 customers, including recognized names such as Adobe, GitLab, and Grammarly. The company has become a Microsoft independent software vendor partner to enhance its offering and deliver added value to customers globally.
Steph
Company Specialist at Welcome to the Jungle
Insights
-12% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Mar 2021
$30m
SERIES C
Apr 2018
$60m
LATE VC
Total funding: $139.3m
Company benefits
- Unlimited paid time off
- Primary and secondary caregiver leave
- Month-long sabbatical after 5 years (with a generous stipend to help you enjoy it)
- Generous home office stipend
- Comprehensive health insurance packages
Company HQ
Back Bay East, Boston, MA
Leadership
David Cancel
(Executive Chairman)They worked as CTO of BuyerZone.com, Complete, and Lookery before founding Ghostery and Performable. Having been CPO of HubSpot, they co-founded Drift as CEO in January 2015.
Elias Torres
(CTO)Having studied at Harvard, they spent 10 years as an IBM Software Engineer, before working at Lookery and Performable. They left their role of 3 years at HubSpot in September 2014 to co-found Drift.
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