These cookies are essential to the functionality of thebigjobsite.com

When you log in to the Internet Site the Company will set a cookie containing a randomly generated unique reference number. This anonymous number allows the Company to identify you. The Company will never store your personal information directly as a cookie. A persistent cookie will be set, persistent cookies are not deleted when you close your browser, and will allow the Internet Site to recognise you on your next visit.

Name	Expiration	Description
ATTBCookie* ATTBUserID ATTB_LinkedUserID	2 years 400 days 1 year	These cookies are used to remember a user’s choice about cookies on thebigjobsite.com. Where users have previously indicated a preference, that user’s preference will be stored in these cookies.
ATTBTracking*	Session	These cookies are used by ATTB to understand user interaction with the website.
last-search search redirect-stage original-keyword	1 day Session 1 hour 1 hour	These cookies are used by thebigjobsite.com to pass search data between our own pages.
datadome	1 year	DataDome is a cybersecurity solution to detect bot activity
jja*	1 days	Used to track if you have seen the Job Alerts prompt and hold settings for your profile. Job Alerts is a service you can subscribe to to receive information about new jobs.

Advanced features of the site use Cookies to provide information you requested and to reduce you having to key in repeated fields.

Name

Expiration

Description

attb-loc

3 months

Stores your location information so that we can pre-populate search fields to find jobs near you.

attb-latest-visit

attb-prev-visit

1 year

1 year

These cookies are used by ATTB to record when a user last visited the website so that we can highlight new content.

Analytic cookies allow the Company to see how the Internet Site is being used. This information forms the basis of future development work, and so enables the Company to continually improve its Internet Site to best suit its users.

Name	Expiration	Description
_ga _gid _gat_gtag_* _ga_JH3TWMTYRK __gads	Typically ranges from session-based (24 hours) to longer-lasting cookies (up to 2 years).	Google Analytics Cookies: Used for tracking and analytics, these cookies collect information about website usage to help understand user behavior. Visitor tracking, session management, and ad performance analysis.
_gcl_au NID DV UULE, EUULE	Typically lasts from a few days to months.	Google Ads / AdSense Cookies: Cookies used for advertisement personalization, conversion tracking, and remarketing by Google Ads. Track ad clicks and impressions, personalize ad content, and measure conversions.
_uetsid _uetvid	Typically lasts from a few days to months.	Microsoft Advertising (Bing Ads): Microsoft's tracking cookies for advertising and user analytics. Track user sessions and unique visitors for remarketing campaigns.
SID SSID SAPISID, APISID SIDCC SOCS AEC	Typically lasts from a few days to months.	Google Account/Authentication Cookies: These cookies are set by Google services (e.g., Gmail, YouTube) to manage user sessions, preferences, and account security. Authentication, session security, and maintaining user preferences.
__secure*	Typically lasts from a few days to months.	Secure Cookies (Potentially Third-Party): Cookies prefixed with __secure* are often used for enhanced security in user sessions or tracking. These are typically first- or third-party cookies, depending on their origin.
MSPTC MUID SRCHD SRCHHPGUSR SRCHUID SRCHUSR USRLOC WLS _EDGE_S _EDGE_V _SS _U ANON	Typically lasts from a few days to months.	These cookies form part of an analytics service that connects data from Bing with actions performed on the website. These cookies allow Bing to serve relevant advertisements to visitors across the Microsoft Bing network
_clck _clsk CLID ANONCHK MR MUID SM	Typically lasts from a few days to months.	Microsoft Clarity: is a cutting-edge behavioral analytics tool that helps us understand user interaction with your website. By using Clarity, we can enhance the user experience.

Affirm

Vancouver / Global

Machine Learning Engineer at Affirm

Remote

Job Summary

Work Settings:: Remote

Apply Now

Job Description

Join Affirm in building advanced ML systems as a Machine Learning Engineer II. Focus on underwriting models, risk evaluation, and feature pipeline development in a remote work environment.

In this role on the Underwriting ML team, you will develop and enhance predictive models using diverse approaches for tabular and sequential data. Collaborate closely with seasoned ML engineers and cross-functional teams to bring ideas from prototype to production while ensuring system reliability and performance.

Key Responsibilities:

• Develop underwriting prediction models for various data types

• Build feature pipelines and training datasets effectively

• Prototype model ideas and drive production-ready solutions

• Integrate models into real-time decision systems for better outcomes

• Monitor and ensure health of models and data

Requirements:

• 2+ years as a machine learning engineer or PhD in relevant field

• Strong Python programming skills

• Experience with machine learning frameworks like PyTorch

• Familiarity with distributed data processing tools

• Effective communication skills for collaboration

Contribute your coding expertise and innovative mindset to Affirm's underwriting team while thriving in a flexible remote culture.

#J-18808-Ljbffr

Apply Now

Similar Opportunities

Workday

Vancouver / Global
Machine Learning Engineer
- Remote
- Part Time
HDR, Inc.

Vancouver / Global
Machine Learning Engineer
Clarius Mobile Health

Vancouver / Global
Machine Learning Engineer
- Remote
Clio

Vancouver / Global
Machine Learning Engineer
- Hybrid
Workday, Inc.

Vancouver / Global
Machine Learning Engineer
- Remote
- Part Time
BioRender

Vancouver / Global
Machine Learning Engineer
- Remote

View all jobs