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.

Apply for this Job

* Required

  
  


U.S. Equal Opportunity Employment Information (Completion is voluntary)

Individuals seeking employment at Sift are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. You are being given the opportunity to provide the following information in order to help us comply with federal and state Equal Employment Opportunity/Affirmative Action record keeping, reporting, and other legal requirements.

Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

Race & Ethnicity Definitions

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.


Form CC-305

OMB Control Number 1250-0005

Expires 1/31/2020

Voluntary Self-Identification of Disability

Why are you being asked to complete this form?

Because we do business with the government, we must reach out to, hire, and provide equal opportunity to qualified people with disabilities1. To help us measure how well we are doing, we are asking you to tell us if you have a disability or if you ever had a disability. Completing this form is voluntary, but we hope that you will choose to fill it out. If you are applying for a job, any answer you give will be kept private and will not be used against you in any way.

If you already work for us, your answer will not be used against you in any way. Because a person may become disabled at any time, we are required to ask all of our employees to update their information every five years. You may voluntarily self-identify as having a disability on this form without fear of any punishment because you did not identify as having a disability earlier.

How do I know if I have a disability?

You are considered to have a disability if you have a physical or mental impairment or medical condition that substantially limits a major life activity, or if you have a history or record of such an impairment or medical condition.

Disabilities include, but are not limited to:

  • Blindness
  • Deafness
  • Cancer
  • Diabetes
  • Epilepsy
  • Autism
  • Cerebral palsy
  • HIV/AIDS
  • Schizophrenia
  • Muscular dystrophy
  • Bipolar disorder
  • Major depression
  • Multiple sclerosis (MS)
  • Missing limbs or partially missing limbs
  • Post-traumatic stress disorder (PTSD)
  • Obsessive compulsive disorder
  • Impairments requiring the use of a wheelchair
  • Intellectual disability (previously called mental retardation)
Reasonable Accommodation Notice

Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

1Section 503 of the Rehabilitation Act of 1973, as amended. For more information about this form or the equal employment obligations of Federal contractors, visit the U.S. Department of Labor's Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.

PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete.