Senior Machine Learning Scientist

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 engineers and data scientists, using the latest machine learning technologies to improve Glassdoor's products on user generated content, such as company reviews and interview questions.

Join us if you have a good understanding of NLP, Search, and machine learning techniques and experience implementing those models at large scale in real-world applications.

What You'll Do:

  • Work with product managers, partners, and fellow scientists to determine the best machine learning solutions to a wide variety of business problems.
  • Perform data analysis, cleaning, sampling, and feature engineering.
  • Perform model training, evaluation, and hyper-parameter tuning.
  • Deploy and maintain models in production.
  • Write clean, maintainable, and well-documented code.
  • Stay up to date with machine learning research and innovative solutions to common machine learning problems.

What You’ll Bring:

  • A commitment to add to our culture of DEI
  • MS or PhD in Machine Learning, Computer Science, or related field.
  • 3+ years of industry experience with applied machine learning in production.
  • Comprehensive knowledge of ML concepts, including classification, regression, and unsupervised learning.
  • Hands-on experience with traditional machine learning as well as deep learning algorithms.
  • Proficiency with Python programming, including numeric, data analysis, and ML libraries such as NumPy, pandas, Scikit-learn, and/or PyTorch.
  • Solid understanding of statistical and mathematical methods used in ML, evaluation, and hypothesis testing.
  • Proficiency with deploying models via a platform like MLFLow or AWS SageMaker.
  • Proficiency with SQL for data analysis.
  • Direct experience with feature engineering using structured or unstructured data.
  • Excellent written and verbal communication skills.

Preferred Qualifications:

  • Experience with fine-tuning innovative language models (e.g. BERT, GPT, etc.)
  • Familiarity with technologies such as Hadoop or Spark.
  • Experience with designing, running, and interpreting the results of A/B tests.

Compensation and Benefits

Base Salary Range*: $144,000.00 - $216,000.00

  • 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

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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