Machine Learning Solutions Engineer - Goldbird Engineering

Company Description

Who We Are:

At Twitter, we serve billions of ad impressions and generate millions of dollars in revenue per day. For every ad shown on Twitter, our machine learning systems evaluate, in real-time, millions of ad candidates behind the scenes to find the best one. We are looking for talented individuals to further develop this state-of-the-art system, working as part of the machine learning engineering and data science team. We create aha! moments for our users & advertisers and add huge value to Twitter's business & revenue.

The Position

Responsibilities:

We are building out a Solutions Engineering team in the Ads Prediction Products org with the goal to help our clients and partners thrive and capture growth opportunities. You will be involved in the full array of modern applied machine learning work, including ideation, experimentation, implementation, and maintenance. This includes work across our ads stack on predictive modeling, effective budget pacing, efficient AB testing, accurate candidate ranking, visualizations, etc. Furthermore, as a Solutions Engineer, you will not only have the chance to identify and solve ML challenges in the ads delivery stack, but, more importantly, prioritize client success and work cross-functionally to architect solutions and ultimately help them reach their business objectives.

  • Develop and manage relationships with customers and partners' technical staff, and manage and drive joint engineering roadmaps
  • Work with sales partners to identify business opportunities for advertisers' business goals
  • Build and ship new products as well as end-to-end customized solutions in collaboration with the Ads product engineering teams

Qualifications

Who You Are:

  • A machine learning software engineer with a passion for working on exciting algorithmic and deep learning problems.
  • Deep understanding of foundational math associated with machine learning such as linear algebra, numerical optimization, probabilistic models, and statistics.

Minimum Qualifications:

  • 5+ years of industry experience with Applied Machine Learning
  • 5+ years of experience shipping production quality code
  • Fluent in one or more object oriented languages like Python, Scala, C++, Java
  • Demonstrated knowledge of API and backend system design

Preferred Qualifications:

  • Master's or PhD degree in Computer Science, Mathematics or related quantitative field
  • Experience with online advertising and/or large-scale distributed systems
  • Experience in advertising technology working with large volume data analytics

Additional Information

We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

The applicable salary range for each U.S.-based role is based on where the employee works and is aligned to one of 4 tiers according to a cost of labor index in that geographic area. Starting pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary ranges for this role, are set forth below. These ranges may be modified in the future.

  • Tier A: USD $162,000 - USD $226,000
  • Tier B: USD $154,000 - USD $216,000

You can view which tier applies to where you plan to work here and is updated for any future jurisdiction which requires publication of the salary range on the job posting. If your location is not listed, please speak with your recruiter for additional information.

This job is also eligible for participation in Twitter’s Performance Bonus Plan and Equity Incentive Plan subject to the terms of the applicable plans and policies.

Twitter offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, sick time, and parental leave. Twitter’s benefits prioritize employee wellness and progressive support to our diverse workforce.

Team

Data Science and Analytics, Software Engineering

Location

Seattle, San Francisco, New York City, Washington

 

Application

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