Machine Learning Engineer

Glassdoor, Inc.
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Job Description

Our mission is to help people everywhere find a job and company they love. In the process, we’re transforming the workplace experience through the power of transparency and further cementing ourselves as the worldwide leader in employer branding and insights. By choosing a career at Glassdoor, you’ll be directly contributing toward our vision for a world where transparency empowers the workforce and motivates companies to become better employers.

Please note: This role may be open to remote hiring. Our office locations are in San Francisco, CA; Chicago, IL; Uniontown, OH; London, UK; and Dublin, Ireland.

You will be part of a very hardworking team of machine learning scientists and engineers, building innovative algorithms that power personalized search experience for over sixty million unique users per month. Being a highly motivated individual contributor, you will learn, master, and apply the latest machine learning technologies to improve search, distill user generated content such as salaries and employer reviews, enrich knowledge graphs, and add innovative solutions to Glassdoor's ML product suite.

Join us if you’re an applied machine learning scientist and have experience implementing models at large scale in real-world applications.

What You’ll Do:

  • Work with a team of Engineers to create, implement, and improve solutions for Glassdoor’s reviews, salaries, benefits, and interviews domain.
  • Build scalable production systems for data collection, data transformation, feature extraction, model training, and testing, using distributed software tools.
  • Build end to end algorithms for objectively measuring the quality of our user generated content.
  • Contribute to all phases of algorithm development including ideation, prototyping, design and development.
  • Coordinate cross-team projects and proactively drive projects to completion.

What You’ll Bring:

  • 2+ years of experience applying machine learning concepts and deploying machine learning models in production environment.
  • Capable of owning well-defined, mid-to-large size projects without need for close supervision.
  • Good understanding and hands-on experience in applying machine learning solutions to solve real-world problems, using structured and unstructured data.
  • Hands-on experience with supervised and unsupervised machine learning algorithms for regression, classification, and clustering.
  • Experience in NLP is a plus.
  • Experience with analyzing large data sets, using Hadoop, Spark orrelated technologies is a plus.
  • Write code with a high standard of quality, maintainability, and testability.
  • Excellent written and verbal communication skills.
  • B.S. or above in Computer Science or a related field.
  • Adds to our culture of diversity and inclusion

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

Compensation and Benefits

Base Salary Range*: $129,300.00 - $193,900.00

  • 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.

Annual Bonus Target**: 10%

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

Perks for Full-Time U.S. Employees:

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, RSU grant awards are presented bi-annually to exceptional performers.

You can learn more about our compensation philosophy here and see salary ranges for all Glassdoor jobs here.

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.

Our Company Values and Commitments

  • Transparency: We are open and honest. We share information – the good and the bad – so we can continuously learn, collaborate and make the right decisions. Pay bands, our compensation philosophy, and employee feedback polls are shared publicly.
  • Innovation: We actively pursue new and different ways to further Glassdoor’s mission. We forge our own path by challenging the status quo. The ultimate goal is not just to change how we operate at Glassdoor, but for every employer to follow our lead!
  • Good People: We work together with integrity, respect and compassion for one another. We have fun together! We are inclusive, fair and humble while remaining confident. We do the right thing, period.
  • Grit: We are resilient, inventive and fearless. We see challenges as opportunities. With passion and courage, we come together to get the job done.
  • Diversity, Equity, and Inclusion: We are dedicated to building a company that is more diverse and representative of society at large. Glassdoor externally publishes our Diversity & Inclusion report and information about our employee population to hold ourselves accountable to our dedication. We also provide programs and resources to build a greater sense of belonging for our employees.

Company Info.

Glassdoor, Inc.

Glassdoor is an American website where current and former employees anonymously review companies. Glassdoor also allows users to anonymously submit and view salaries as well as search and apply for jobs on its platform. In 2018, the company was acquired by the Japanese firm Recruit Holdings for US$1.2 billion.

  • Industry
    Information Technology
  • No. of Employees
  • Location
    San Francisco, California, USA
  • Website
  • Jobs Posted

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