Sr. Director, Machine Learning Science

Glassdoor; San Francisco (CA); Remote; USD 224,000 - 352,000; Full time

Job summary

An innovative company is seeking a Senior Director of Machine Learning Science to spearhead its machine learning strategy. This role involves overseeing the machine learning function, collaborating closely with product and engineering teams to maximize the impact of ML across the organization. The ideal candidate will have extensive experience in machine learning, particularly in recommender systems, and a strong analytical orientation to drive business impact. This is a unique opportunity to shape the future of workplace conversations through cutting-edge technology and data-driven insights.

Benefits

Generous Stock Options

100% Employer-Paid Health Insurance

401(k) with Company Match

Open Paid Time Off

Flexible Work Hours

Wellness Programs

Paid Family Leave

Remote Work Opportunities

Qualifications

• 12+ years in machine learning and algorithmic development.
• Experience with deploying AI solutions and recommender systems.

Responsibilities

• Lead ML strategy and oversee all ML models for Glassdoor.
• Manage a team of data scientists to drive user engagement and retention.

Skills

Machine Learning

Data Analysis

Recommender Systems

A/B Testing

GenAI Deployment

Strategic Thinking

Education

PhD in Computer Science

Master's in Data Science

Tools

Python

TensorFlow

Scikit-learn

Job description

When you work for Glassdoor, you help people everywhere get ahead in work and life. That’s because we’re moving fast to become the leading community for workplace conversations. Every day, we foster radical transparency by giving professionals a platform to connect authentically and anonymously. Think real talk with real people — plus company reviews and ratings, salary info, job listings and more.

Join us as we make worklife better, together.

About the Role

We are looking for a Senior Director of Machine Learning Science. This role will oversee the machine learning science function and drive the machine learning strategy for Glassdoor in close partnership with the Product and Engineering leadership teams

For more information about some of the exciting technology work being done at Glassdoor, check out our Engineering Blog !

What You'll Do

• Lead the machine learning strategy for Glassdoor, partnering with Product leadership to ensure ML is being leveraged in the areas of highest impact to the business
• Oversee machine learning science function responsible for managing all ML models in collaboration with ML Engineering and for serving as a center of excellence to empower teams across Glassdoor to adopt AI efficiently and effectively
• Lead a team of data scientists and ML scientists responsible for the full spectrum of insights to ML on key surfaces, ensuring the team has a deep understanding of user engagement patterns and is designing efficient solutions to grow engagement and retention
• Evangelize a culture of experimentation, building on a solid foundation of A/B testing continue optimizing for velocity of experiments
• Act as a trusted advisor and thought partner on topics related to machine learning and AI, with recommender systems as a core area of focus
• Advocate for improvements in our tech ecosystem to remove friction from ML development and increase speed to impact for the team
• Data & Analysis: Own metrics related to key ML initiatives, such as key recommender system surfaces, and ensure initiatives drive impact to those metrics
• 12+ years with machine learning/algorithmic development and related analytics, ideally with a depth of experience in recommender systems
• Strong expertise deploying GenAI experiences for consumers/internal stakeholders
• Demonstrated operational/execution excellence and ability to think strategically while managing with a sense of urgency through ambiguity
• Ability to establish strong working relationships between the executives, Product and Engineering leadership teams on key strategic applications of ML and AI
• Strong analytics orientation to understand usage patterns and identify the most impactful levers
• Strong bias towards action and ability to develop and drive a roadmap that delivers value at regular intervals along the way
• Strategic vision combined with ability to “roll up their sleeves” and translate into actionable parts
• Strong alignment with Glassdoor culture and values

Compensation and Benefits

Base Salary Range*: $224,800.00 - $351,300.00

*Glassdoor base salaries are targeted to the market 75th percentile for technical roles and the 65th percentile for non-technical roles. In other words, 65-75% of comparable organizations in our industry will pay less.

**Bonuses are paid in 6-month intervals, aligning with bi-annual performance evaluations

Generous Restricted Stock Units (RSU):

***Restricted Stock Units (RSU) are awarded at hire and may be refreshed annually. Additionally, as a pay-for-performance company, there are additional RSU grant awards for the very top performers.

You can learn more about our compensation philosophyhere and see salary ranges for all Glassdoor jobshere .

Health and Wellness: 100% employer-paid premiums for employee medical, dental, vision, life, short and long-term disability, select well-being programs, along with 80% employer-paid premiums for all dependents.* Generous paid time off programs for birthing and non-birthing parents are provided, along with paid injury/illness leave and paid family emergency leave.

*Coverage begins at the start of employment. After 48 months of continuous employment, 100% of all premiums for you and your dependents can be employer-paid!

Work/Life Balance:Open Paid Time Off policy, in addition to 15-20 paid company holidays/year

Investing in Your Future: 401(k) plan with a company match up to $5,000 per year, subsidized fertility and family planning services, and discounted legal assistance services.

Glassdoor values transparency in our hiring process. We are unable to provide sponsorship now or potentially in the future for this role.

Our Commitments

• Come as you are: At Glassdoor diversity is not a slogan; it’s a core factor in our success. We welcome your background, experience and ideas because you help us understand and better serve our world. You make us stronger.
• Grow your career: Glassdoor is small enough for you to see the impact of your contributions, while large enough to offer significant resources and endless opportunities to grow. This is a great place to make a career.
• Find your people: Ask anyone who works here: it’s the people who make the difference. We are a group of well-rounded humans who support one another and work hard together to bring the Glassdoor mission to life.
• Discover flexibility: With flexible hours and a where-to-work policy, Glassdoor allows you to take on professional and personal responsibilities — enhancing both productivity and your well-being.

Glassdoor is committed to equal treatment and opportunity in all aspects of recruitment, selection and employment without regard to race, color, religion, national origin, ethnicity, age, sex, marital status, physical or mental disability, gender identity, sexual orientation, veteran or military status or any other category protected under the law. Glassdoor is an equal opportunity employer; committed to creating a community of inclusion, and an environment free from discrimination, harassment and retaliation.

Where-to-Work Policy
Being a remote-first company, Glassdoor employees can live anywhere Glassdoor is a registered company. Requests to move must be approved by an employee’s manager and the People team. While we will try our best to support relocation requests, some requests may not be approved due to various tax, legal, or other restrictions.

Enjoy Remote and Explore: Employees authorized to work in their current location may Work Away for up to a total of 30 (thirty) working days in a calendar year without permanent relocation and compensation change. Employees on visas may work Work Away for up to a total of 20 (twenty) working days in a calendar year without permanent relocation and compensation change. The amount of time and location for Work Away must be approved by the employee’s manager and People Operations team at least two (2) weeks in advance of travel.

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