Summer 2023 Machine Learning Science Intern

Why Glassdoor?

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.

About the Role

Glassdoor's main mission is to help people everywhere find a job and company they love. At Glassdoor, we are redefining the industry by thoughtfully creating a world where radical transparency holds companies accountable in order to assist them in becoming better employers. While our main office locations are in San Francisco, CA and Chicago, IL, this role is open to remote hiring. Join us if you’re interested in implementing novel models at scale for real-world applications!

What You’ll Do

As a Machine Learning Science intern, you will work on building novel Machine Learning models in a collaborative and encouraging team of expert machine learning scientists. You will not just learn- you will also gain hands-on exposure around the full Machine Learning development process, including:

• Data querying and analysis
• Feature engineering
• Model training/tuning
• Model deployment.

The project you will be provided will be tailored toward your abilities and interests, while meaningfully contributing towards Glassdoor's mission.

Some technologies that you'll get the opportunity to work on include modern open source technologies like

• Airflow
• MLFlow
• Spark

Just like our full-time employees, you will be expected to write clean, maintainable, and well-documented code — but we're more than happy to provide the feedback to help you get there!

What You’ll Bring

We are looking for someone with a firm grasp of foundational machine learning concepts, including a proven understanding of different classification and regression models (proven understanding of deep learning approaches for NLP is a huge plus). Having prior experience with feature engineering and dealing with both structured and unstructured textual data would also be beneficial to ramping up quickly.

You should be proficient in coding with Python and have some familiarity with numeric, data analysis, and machine learning libraries. For example:

• NumPy
• pandas
• scikit-learn
• PyTorch

Finally, we're looking to see that you are able to communicate your ideas clearly and concisely, and can collaborate well with others.

Hourly pay rate: $40 / hour

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.

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.

US & Ontario Only

Where legally permitted, Glassdoor requires all employees who report to a workplace, or travel and/or attend in-person meetings, including client visits, to be fully vaccinated against COVID-19. For positions that can only be performed at a Glassdoor office, candidates must be fully vaccinated against COVID-19 and provide acceptable proof of vaccination before their first day of employment as a condition of employment. Glassdoor will consider requests for reasonable accommodation as required under applicable law. To qualify as being fully vaccinated against COVID-19, two weeks should have elapsed since receiving the second dose (or any government recommended booster shot) in a two-dose COVID-19 vaccine series, or since receiving a single dose (or any government recommended booster shot) in a single dose COVID-19 vaccine.