Senior Software Engineer, Machine Learning Platform at Sift Science

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Sift Science

(15 open jobs)

Protect your business from fraud and fuel your growth through the power of digital trust.


Job title
Senior Software Engineer, Machine Learning Platform
Job listing last updated at
Oct 22, 2019
Job listing location
San Francisco
Job listing source
greenhouse
Job listing link
External link
Bay Area company location: 123 Mission St #2000, San Francisco CA

Job description

About the team:

The Machine Learning Platform team exists to enable product teams to construct and operate their production machine learning services as effectively as possible.The team does this by providing a platform which handles the common needs of the product teams including production system integration, model availability, health and monitoring infrastructure, and a streamlined model release process.

What we’re looking for:

As an engineer on the Machine Learning Platform team you will build tools and processes to make the release of new machine learning models fast, easy, and minimally disruptive to Sift engineers and customers. Ensuring our systems can continue to scale rapidly and address rapidly evolving product team needs is critical to this team’s mission.

What you’ll do:

  • Design and build tools and processes to make the release of new machine learning models fast, easy, safe, and minimally disruptive
  • Lead architecture discussions to meet the requirements to serve hundreds of machine learning models at thousands of queries per second scale
  • Implement scalable, high-throughput, fault-tolerant, extensible, and easily maintainable data processing workflows for both batch and real-time systems
  • Champion and deliver cross-company machine learning initiatives
  • Motivate, teach, listen and empathize with a variety of engineering and analytical roles

What would make you a strong fit:

  • Designed and built scalable, low-latency, fault-tolerant services
  • Strong software engineering fundamentals
  • Experience working with large datasets and best in class data processing technologies for both stream and batch processing
  • Strong communication & collaboration skills, and a belief that team output is more important than individual output

Bonus points:

  • Experience building backend systems using Java or Python
  • Knowledge of one of more cloud provider stacks for web services and big data processing
  • Experience working with data processing workflow management tools
  • Familiar with practical challenges in ML systems such as feature extraction and definition, data validation, training, monitoring, and management of features and models

A little about us:

Sift is the leading innovator in Digital Trust & Safety.  Hundreds of disruptive, forward-thinking companies like Airbnb, Zillow, and Twitter trust Sift to deliver outstanding customer experience while preventing fraud and abuse.

The Sift engine powers Digital Trust & Safety by helping companies stop fraud before it happens. But it’s not just another anti-fraud platform: Sift enables businesses to tailor experiences to each customer according to the risk they pose. That means fraudsters experience friction, but honest users do not. By drawing on insights from our global network of customers, Sift allows businesses to scale, win, and thrive in the digital era.

Benefits and Perks:

  • Competitive total compensation package
  • 401k plan
  • Medical, dental and vision coverage
  • Wellness reimbursement
  • Education reimbursement
  • Flexible time off
  • Catered meals

Sift is an equal opportunity employer. We make better decisions as a business when we can harness diversity in thought, experience, data, and background. Sift is working toward building a team that represents the worldwide customers that we serve, inclusive of people from all walks of life who can bring their full selves to work every day, so we can Win as One Team.

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