Machine Learning Engineer

Boston

Full Time Senior-level / Expert USD 129K - 193K

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.

We are looking for software engineers passionate about delivering at-scale machine learning solutions end-to-end. Having strong software development experience and exposure to system design, in tandem with knowledge of applied/operational machine learning, is key to being successful in this role.

You will be a member of a hardworking team of machine learning engineers, building innovative algorithms, services, platforms and more; that power a 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 endowed with this unique blend of software engineering and machine learning background!

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 content.
  • Contribute to all phases of algorithm development including conceptualization, prototyping, design, and implementation.
  • Coordinate cross-team projects and proactively drive projects to completion.

What You’ll Bring:

  • 2+ years of professional software development experience (non-internship), with at least 1 year of experience working on the design and architecture of distributed systems and micro-services.
  • Solid background in one of the objected programming languages like Java, Kotlin, Scala or C++.
  • Basic knowledge of Python.
  • Sound understanding of CS fundamentals, computational complexities, best software engineering practices, and designing scalable systems with a demonstrated ability to apply them.
  • Experience applying machine learning concepts and deploying machine learning models in a production environment.
  • Hands-on experience with supervised and unsupervised machine learning algorithms for regression, classification, and clustering.
  • Capable of owning well-defined, mid-to-large size projects without need for close supervision.
  • 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.
  • Cloud infrastructures like AWS, experience with NLP, and analyzing large data sets using Hadoop, Spark or related technologies is a plus.

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.

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.

Tags: AWS Classification Distributed Systems Engineering Hadoop Machine Learning ML Model training NLP Python Scala Spark Testing

Perks/benefits: 401(k) matching Career development Equity Fertility benefits Flex vacation Health care Medical leave Salary bonus Startup environment Wellness

Region: North America
Country: United States
Job stats:  13  1  0
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