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Every career with Hearst Television is like a story. How it develops, where it takes you, the milestones you reach along the way – you’ve got a lot to look forward to as your unique career story unfolds. Hearst Television, a subsidiary of Hearst, owns and operates local television and radio stations serving nearly three dozen U.S. cities, reaching 24 million U.S. television households. Through its partnership with nearly all major networks, Hearst Television distributes national content across more than 120 video channels, including programming from ABC, NBC, CBS, CW, MY Net, MeTV, This TV, Estrella, and more. Hearst Television is recognized as one of the industry's premier companies. It has been honored with numerous awards for distinguished journalism and industry innovation, including the Walter Cronkite Award for political journalism, the national Edward R. Murrow Award, the DuPont-Columbia Award, and the George Foster Peabody Award.

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Overview

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. At Affirm, ML plays an outsized role in delivering on this mission, and we are seeking a Senior Director to lead centralized Machine Learning capability at Affirm.

What You’ll Do

Set the vision for Machine Learning and AI at Affirm. Hire world-class ML modelers, Platform and Software engineers to execute on that vision.
Take ownership of our core model development lifecycle and business outcomes across underwriting, fraud, servicing, and personalization.
Work closely with product and business leadership to champion AI adoption in both existing and new products.
Balance ML investments across traditional ML and transformer-based models.
Evolve ML platform to support increasing ML needs across Affirm with emphasis on training, tuning and serving AI models.
Run a robust, yet shortened ML development lifecycle, establishing a culture of experimentation and fast learning.
Collaborate with cross-functional partners outside engineering, including product, risk, servicing, legal and compliance.

What We Look For

15+ years of relevant experience in Machine Learning, AI, or related technical domains
Experience leading centralized ML teams comprising ML modelers and ML platform engineers
Successful track record in delivering models that directly drive business outcomes and PnL
Comfortable working in matrix organizations and influencing across a wide range of leaders
Experience hiring, growing, and retaining talent
Keeps up with the evolving ML landscape — understands when to buy vs build, and what tools/techniques drive the most business value

Compensation and Benefits

Base Pay Grade – V; Equity Grade – 21. Base pay ranges and eligibility are determined by location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents).

USA base pay range (CA, WA, NY, NJ, CT) per year: $340,000 - $375,000. USA base pay range (all other U.S. states) per year: $305,000 - $340,000.

Affirm is proud to be a remote-first company. Most roles are remote and you can work almost anywhere within the country. Some roles may be office-based due to responsibilities.

Benefits

Health care coverage – Affirm covers all premiums for all levels of coverage for you and your dependents
Flexible Spending Wallets – stipends for Technology, Food, Lifestyle needs, and family forming expenses
Time off – vacation and holidays to rest and recharge
ESPP – Employee stock purchase plan enabling you to buy Affirm shares at a discount

Affirm is committed to an inclusive interview experience for all, and will provide reasonable accommodations to candidates in need. (For U.S. positions that could be performed in Los Angeles or San Francisco), Affirm will consider qualified applicants with arrest and conviction records in accordance with local ordinances. By clicking \"Submit Application,\" you acknowledge Affirm’s Global Candidate Privacy Notice and consent to the collection, processing, and storage of your personal information as described therein.

Seniority level

Director

Employment type

Full-time

Job function

Engineering and Information Technology

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Overview

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later...","Senior Director, Software Engineering (Machine Learning)",["B","1981957991"],"Work at Affirm","/jobs/1981957991-senior-director-software-engineering-machine-learning","/jobs?keyword=Affirm","/jobs?keyword=Senior+Director%2C+Software+Engineering+%28Machine+Learning%29",{"_429":278,"_433":535,"_452":453,"_444":536,"_243":537,"_440":538,"_427":428,"_111":539,"_431":194,"_432":194,"_454":453,"_442":443,"_425":540,"_455":541,"_430":115,"_466":542,"_460":543,"_468":539,"_469":443,"_471":544,"_473":474,"_475":545},["D",1770205677000],"Legion Technologies","

About the Job

This position will play a pivotal role in Legion’s mission – turning hourly jobs into good jobs – and is passionate about bringing advanced data science to solve data‑to‑day problems that impact the largest segment of the workforce in the world. This role is a full‑time position with the option to work fully remotely or in our Redwood City, California office.

Responsibilities

Product and technology leader for Legion’s AI/ML technologies. Develop AI/ML roadmap and educate both internal and external stakeholders at all levels to drive implementation and measurement.
Directly own all efforts in ML‑based demand forecasting as well as other ML projects.
Develop innovative applied data science solutions that utilize machine learning and deep learning algorithms to support business initiatives.
Build and lead a world‑class team of ML and AI scientists and engineers.
Be a hands‑on leader to mentor the team in the latest machine learning and deep learning approaches, and to introduce new technologies and processes.
Work with ML engineers to design solution architecture and develop a scalable machine learning system to accelerate the learning cycle.
Work with enterprise customers to ensure proper understanding and adoption of Legion’s data‑driven technologies.
Evangelize Legion’s innovative approach to solving some very large challenges.

Skills and Experiences

Ph.D. in Computer Science, Mathematics, Physics, Engineering, Statistics, Operations Research, or other equivalent quantitative fields.
8+ years of work experience in Machine Learning, AI, and Data Science with a proven track record to drive innovation and business impacts.
3+ years of managing a team of applied scientists and ML engineers.
Experience building and deploying ML platform with explainability and model governance.
Strong machine learning, deep learning, and experience in deploying machine learning algorithms and advanced modeling solutions.
Proficiency in machine learning and deep learning languages and platforms.
Experience in developing featurization and ML infrastructure and system.
Self‑starter and self‑motivated with the proven ability to deliver results in a fast‑paced, high‑energy environment.
Strong communication skills and the ability to explain complex analysis and algorithms to a non‑technical audience. Works effectively with cross‑functional teams to build a trusted partnership.
Experience with enterprise SaaS solutions strongly preferred.

Personal Attributes and Values

A self‑starter and strong team player who loves collaboration and is open to feedback, comfortable working independently with a focus on high‑priority issues, and influencing cross‑functional teams.
A “get stuff done” person that can juggle programs and initiatives.
Analytical and curious; like to understand exactly how the product works and how to best communicate its value.
Personal passion and enthusiasm for industry‑leading, next‑generation technology.
Resourceful and creative. Figures out how to make the most of any asset.
A problem solver looking to help us continually improve and grow.
Our mission of turning hourly jobs into good jobs resonates and is intriguing.

Compensation & Benefits

Salary Range: Base Salary Range $200,000 - $250,000 + Bonus (if applicable) + Stock Equity.

$0 monthly premium and other flexible medical, dental, and vision plans effective on the first day of employment.
401k plan.
Discretionary Paid Time Off and Paid Holidays.
Parental Leave.
Equity.
Monthly Wellness Reimbursement.
Monthly Lunch on Legion.

Background and Opportunity

The hourly workforce currently constitutes almost 60% of the overall labor market in the United States and these nearly 80 million hourly workers are the driving force behind many of our largest domestic industries like food/beverage, retail, and hospitality. Management of this workforce has historically been difficult due to high churn (average of 60%), high cost of replacement (average of $3,200 per employee in retail), and now new challenges are developing as millennials enter this market. The retail vertical alone spends $62 billion dollars a year on replacing workers and over 50% of hourly workers leave their jobs because of flexibility reasons.

In our modern, Uber‑ized times, younger folks seek gig‑like flexibility, modern mobile‑first technology, and compelling work options. They want to use an app on their phone to schedule work, not haggle with the manager over their schedule on a week‑to‑week basis. Likewise, employers are increasingly in need of a flexible and efficient labor model that supports the innovations (think pop‑up stores, home delivery, mobile ordering, service options, etc.) needed, and frankly demanded, by today’s modern customers. Mid‑market organizations have never had a technology platform to manage their hourly workers and the enterprise is mired in decades‑old technology that’s both user‑unfriendly and wildly ineffective for managing today’s modern hourly workforce. There is a huge opportunity to modernize and upgrade how hourly workers interact with their employers and while enabling employers to be elastic, efficient, and innovative, and that is the focus of Legion.

Legion is an equal‑opportunity employer. All applicants will be considered for employment without attention to race, religion, color, sex, sexual orientation, gender identity, age, national origin, veteran, disability status, or any other basis covered by appropriate law.

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About the Job

This position will play a pivotal role in Legion’s mission – turning hourly jobs into good jobs – and is passionate a...","Director of Engineering – Planning & Forecasting Products",["B","2435121366"],"Work at Legion Technologies","6 days ago","/jobs/2435121366-director-of-engineering-planning-forecasting-products","/jobs?keyword=Legion+Technologies","/jobs?keyword=Director+of+Engineering+%E2%80%93+Planning+%26+Forecasting+Products","actionData","errors"]