What we’re building and why we’re building it.

Every month, millions of people use America’s Rewards App, earning rewards for buying brands they love – and a whole lot more. Whether shopping in the grocery aisle, grabbing a bite at the drive-through or playing a favorite mobile game, Fetch empowers consumers to live rewarded throughout their day. To date, we’ve delivered more than $1 billion in rewards and earned more than 5 million five-star reviews from happy users.

It’s not just our users who believe in Fetch: with investments from SoftBank, Univision, and Hamilton Lane, and partnerships ranging from challenger brands to Fortune 500 companies, Fetch is reshaping how brands and consumers connect in the marketplace. When you work at Fetch, you play a vital role in a platform that drives brand loyalty and creates lifelong consumers with the power of Fetch points. User and partner success are at the heart of everything we do, and we extend that same commitment to our employees.

Ranked as one of America’s Best Startup Employers by Forbes for two years in a row, Fetch fosters a people-first culture rooted in trust, accountability, and innovation. We encourage our employees to challenge ideas, think bigger, and always bring the fun to Fetch.

Fetch is an equal employment opportunity employer.

The ML Engineering team embodies these values and works with a laser focused objective to enable intelligent systems for end users, internal stakeholders, and external partners. We are looking for a Machine Learning Engineer Apprentice to contribute to this vision and reap the rewards of joining an exciting company in the high growth phase. Among other things, Fetch uses ML/AI to power receipt understanding (digital and physical), fraud detection, and rapidly evolving in the space of ads ranking, recommendation, search, and discovery. Machine learning is core to our product and we’re working to make it an even bigger part of the company.

Your focus will be on the intersection of developing ML models and the infrastructure needed to operationalize them at scale. The ML Team at Fetch is responsible for the full life-cycle of machine learning. This includes data labeling/collection/management, model development, and deploying to large scale production settings. We work closely with backend, devops and data scientists on focussed teams. You’ll be expected to create value in a fast moving environment and that might mean at any given moment deep diving into one of these stages of the pipeline

Are you capable of training and deploying a Transformer model but know when a simpler solution will do? Do you like knowing how model architectures translate to flops and the milliseconds off a server? Have you lost entire days debugging inscrutable CUDA errors? If you answered yes to these questions we’d love to hear from you.

This is not a college internship, and requires that you have graduated by June 2024.

Technical Skills:

Excellent programming skills (we use a lot of Python in this problem space but proficiency in other languages are equally welcome)
Experience training ML models using a Python framework like Pytorch, TensorFlow, etc.
Experience deploying a model in a production environment with significant traffic. We process 100s of events per second in our prod pipelines
Experience working inside of a codebase that is meaningful in size (minimum thousand lines) over an extended period of time

Bonus Points For:

Excellent written and verbal communication skills
Ability to problem solve independently and demonstrate initiative
Deep PyTorch/Tensorflow expertise
Experience with model servers like TFServing/TorchServe/Triton
Experience with ONNX, TensorRT, CUDA, OpenAI Triton
Experience with search, ranking, or Ads
Comfort with streaming data and Kafka
Experience deploying applications in public cloud environments like AWS etc.

Apprenticeship Facts:

This is a 3 month program where you will be given challenging and meaningful work
You will gain incredible experience and grow as an engineer
There is no expectation that this role will convert to a full time employee
$40 per hour
40 hours per week of work, minimum
There are no health benefits during the apprenticeship
We don’t sponsor H1Bs on an Apprenticeship due to legal limitations
Get an onboarding buddy on your 1st day
FREE: Mac laptop, monitors, etc. whatever is needed to be successful!
Work on the same projects as our perm employees, you are not treated any differently!

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Fetch Rewards Privacy Notice for California Consumers (Employees)

Effective date: December 23, 2019

Fetch Rewards, Inc. including its affiliates and subsidiaries (“Fetch Rewards,” “we,” “us,” or “our”) provides this Privacy Notice for California Consumers (Employees) (the “CCPA Employee Privacy Notice”) to you to notify you of our privacy practices as required by the California Consumer Privacy Act of 2018 (“CCPA”).

The CCPA Employee Privacy Notice applies only to individuals residing in the State of California who are considered “Consumers” under the CCPA and from whom we collect “Personal Information” as described in the CCPA (“Consumers”). We provide you this notice because under the CCPA, California Residents who are employees, employee applicants, or contractors qualify as Consumers. For purposes of this CCPA Employee Privacy Notice, when we refer to Consumers, we mean you to the extent you are a California employee, employee applicant, or contractor.

Information We Collect

We may collect Personal Information from you in a variety of different situations, including, but not limited to on our website, your mobile device, through email, in physical locations, through the mail, and/or over the telephone. More specifically, Fetch Rewards collects the following categories of Personal Information from its California applicants, employees, and contractors, which will depend on the particular Business Purpose for which we collect it:

Category	Examples of Personal Information Collected
A. Identifiers.	A real name, alias, postal address, telephone number, mobile device ID, Internet Protocol address, email address, Social Security number, driver's license number, passport number.
B. Personal information categories listed in the California Customer Records statute (Cal. Civ. Code § 1798.80(e)).	A name, signature, Social Security number, address, telephone number, passport number, driver's license or state identification card number, insurance policy number, education, employment, employment history, bank account number, medical information, or health insurance information.
C. Protected classification characteristics under California or federal law.	Age, race, citizenship, marital status, medical condition, physical or mental disability, sex, veteran or military status, genetic information.
D. Commercial information.	None.
E. Biometric information.	None.
F. Internet or other similar network activity.	Browsing history, search history, information on a consumer's interaction with a website, application, or advertisement.
G. Geolocation data.	Physical location or movements.
H. Sensory data.	Electronic, audio, and visual information.
I. Professional or employment-related information.	Current or past job history or performance evaluations, employee background check.
J. Education information, as defined by the Family Educational Rights and Privacy Act	None.
K. Inferences drawn from other personal information.	None.

Personal information does not include deidentified or aggregated consumer information.

Fetch Rewards obtains the categories of Personal Information listed above from the following categories of sources:

Directly from you. For example, from forms you complete or products and services you purchase.
Indirectly from you. For example, from observing your actions on our website or from information your computer or mobile device transmits when interacting with our website or mobile applications, among other things.
Consumer reporting agencies relating to employee background checks.

How We Use Personal Information

We may use or disclose the Personal Information we collect from you or about you to do one or more of the following:

To fulfill or meet the purpose for which you provided the information. For example, if you share your name and contact information to apply for a job or become an employee, we will use that personal information in connection with your employment or employment application.
To contact you and to inform you about benefits or information relating to your employment or employment application.
To provide, support, personalize, and develop our website and services relating to your employment or employment application.
To create, maintain, customize, and secure your information or account with us.
To process your requests or transactions and prevent transactional fraud.
To provide you with support and to respond to your inquiries, including to investigate and address your concerns and monitor and improve our responses.
To help maintain the safety, security, and integrity of our systems, App or Website, services, databases and other technology assets, and business.
For research, analysis, and business development, including to develop and improve our business processes, Website and services.
To respond to law enforcement requests and as required by applicable law, court order, or governmental regulations.
As described to you when collecting your personal information or subsequently agreed to by you.
To evaluate or conduct a merger, divestiture, restructuring, reorganization, dissolution, or other sale or transfer of some or all of Fetch Rewards assets, whether as a going concern or as part of bankruptcy, liquidation, or similar proceeding, in which personal information held by Fetch Rewards about our Consumers is among the assets transferred.

How We Share Personal Information

Fetch Rewards may disclose your Personal Information to a third party for a business purpose, including to our service providers.

We share your personal information with the following categories of third parties:

Service providers.
Third parties with whom you direct us to share your personal information, including consumer reporting agencies to conduct employment background checks.

Disclosures of Personal Information for a Business Purpose

In the preceding twelve (12) months, Fetch Rewards has disclosed the following categories of personal information for a business purpose:

Category A: Identifiers.
Category B: California Customer Records personal information categories.
Category C: Protected classification characteristics under California or federal law.
Category I: Professional or employment-related information.

We disclose your personal information for a business purpose to the following categories of third parties:

Service providers.
Third parties with whom you direct us to share your personal information, including consumer reporting agencies to conduct employment background checks.

Other California Privacy Rights

We do not disclose your Personal Information relating to you being an employee applicant, employee, or contractor with Fetch Rewards to third parties for their direct marketing purposes. We do not share such Personal Information with third parties for their direct marketing purposes.

Changes to Our CCPA Employee Privacy Notice

Fetch Rewards reserves the right to amend this privacy notice at our discretion and at any time. When we make changes to this privacy notice, we will post the updated notice on privacy@fetchrewards.com and update the notice's Effective Date above.

If you have any questions or comments about this notice, the ways in which Fetch Rewards collects and uses your information described above, please do not hesitate to contact us at:

Email: privacy@fetchrewards.com

Postal Address:
ATTN: Privacy Team
Fetch Rewards, Inc.
1050 E Washington Ave
2nd Floor
Madison, WI 53703

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For government reporting purposes, we ask candidates to respond to the below self-identification survey. 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.

As set forth in Fetch’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

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Machine Learning Engineer, Apprentice