Staff Machine Learning Engineer, Conversational Intelligence

Sorry, this job was removed at 11:02 a.m. (PST) on Tuesday, August 2, 2022
Find out who's hiring remotely in Seattle.
See all Remote Data + Analytics jobs in Seattle
Apply
By clicking Apply Now you agree to share your profile information with the hiring company.

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.


About the Team 


We are the Conversational Intelligence Team, and we are on a mission to build the most helpful and sophisticated AI assistant for our Outreach customers. Our product, Outreach Kaia (Knowledge AI Assistant) helps our customers both during and after their meetings to be more productive across all their prospects. As a 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- Do Agile development, with Sprints and regular retrospectives- Function in a highly progressive, quick-iteration environment focused on delivering consistent, incremental customer value


Role


As a Machine Learning Engineer in the Conversational Intelligence Team you will be responsible for building systems that process real-time audio and text streams from our Knowledge AI Assistant. You will build scalable machine learning platforms and systems to handle large quantities of data. Engineer low-latency and high-throughput ML systems that must scale for our growing business

Daily Adventures

  • Working with voice streams and real-time transcriptions of voice streams to extract intelligence and actionable insights for customers
  • Analyzing the relevance of extracted intelligence, performance of the extraction algorithms, and evaluating the performance of third party voice processing APIs
  • 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 across the stack for the best return on investment for any given pain point

What we are looking for

  • 6+ years of experience shipping production quality code in Java, Go or C++, along with strong software engineering skills
  • Experience with cloud-based data platforms and continuous-deployment projects
  • Experience with implementing machine learning pipelines is a plus
  • Experience building platforms from scratch is a plus
  • 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

Read Full Job Description
Apply Now
By clicking Apply Now you agree to share your profile information with the hiring company.

Location

Our Lower Queen Anne office is located along the beautiful Elliott Bay waterfront north of Belltown, near Myrtle Edwards Park.

Similar Jobs

Apply Now
By clicking Apply Now you agree to share your profile information with the hiring company.
Learn more about OutreachFind similar jobs