Senior Staff Machine Learning Engineer, Knowledge ...

Job description

Our success is reliant on building teams that include people from different backgrounds and experiences who can elevate assumptions and ideas with fresh perspectives. We're dedicated to hiring the whole human, not just a resume. To that end, we look for a diverse pool of applicants-including those from historically marginalized groups. We would like to invite you to apply even if you don't think you meet all of the requirements listed below. We don't want a few lines in a job description to get between us and the opportunity to meet you.

The Role

Knowledge assets drive important features of the Outreach product. As a Machine Learning Engineer, you will work with other Engineers, and Product Managers to develop algorithms, build data pipelines, and low latency query services. You will be responsible for the full lifecycle of the products.

About The Team

On the Knowledge Graph team we:
  • Own features end-to-end from the customer need all the way to the back-end implementation.
  • Are highly collaborative and distribute technical leadership throughout the team.
  • Follow agile development methodology
  • Function in a highly progressive, quick-iteration environment focused on delivering consistent and incremental customer value.

We’re currently shoring up the core functionalities of our product. In the long term we want to give our customers the ability to optimize and constantly improve how they interact with customers. Our services will learn from the customer’s interactions and assist the customers by bringing that knowledge to them in real-time. These efforts present a diverse gamut of work that will help enhance Outreach’s competitive edge by making our customers more effective.

Your Daily Adventures Will Include

    • Working with different data sources and data types and streams of spoken text to extract structure data.
    • Analyzing the input data and performance of data extraction algorithms.
    • Evaluating the quality of Knowledge Assets and developing techniques to continuously improve their quality.
    • Finding ways to engineer high availability into a system that has lots of moving parts, not all of which are directly under your control.
    • Working with stakeholders to make sure our customers have the tools they need to be successful on our platform
    • Finding quick ways to prototype and test possible solutions to large problems
    • Looking up and down the stack for the best return on investment for any given pain point
    • Working on one of the most visible parts of Outreach’s product - to both our customers and the rest of our organization

Basic Qualifications

    • Experience with implementing machine learning algorithms.
    • A passion for data, experience working with Spark or similar distributed computing framework is essential for success in this role
    • Experience programming in Python or Scala and Java or Go or C++.
    • Experience with cloud-based service applications
    • Familiar with continuous-deployment projects
    • Willing to go above and beyond to help other team members
    • Ability to prioritize details along a path of iterative delivery
    • Ability to quickly ramp up new technologies and start contributing
Why You’ll Love It Here

  • Generous medical, dental, and vision coverage for full-time employees and their dependents
  • Flexible time off
  • 401k to help you save for the future
  • Company-organized and personal paid volunteer days to support the community that supports us
  • Fun company and team outings (or virtual events these days!) because we play just as hard as we work
  • Diversity and inclusion programs that promote employee resource groups like OWN (Outreach Women's Network), AAPI, Rainbow (LGBTQIA+), Gender+, LatinX, Black Excellence, Disability Community, and Veterans
  • A parental leave program that includes not just extended time off but options for a paid night nurse, food delivery, gradual return to work, and the Gottman Institute's Bringing Home Baby course for new parents
  • Employee referral bonuses to encourage the addition of great new people to the team
  • Plus, unlimited snacks and beverages in our kitchen (once we're back in the office, that is!)
  • We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status

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