Job Location: Seattle, WA
Your Job
As a member of the AI Ethics team at Indeed, you’ll work within the Environmental, Social, and Governance (ESG) organization and across the business to build tools, systems, and processes that advance responsible and inclusive AI. Your work will directly contribute to Indeed’s mission of helping all people get jobs by reducing bias and increasing fairness in our algorithmic systems. You will have the opportunity to work with machine learning and artificial intelligence systems of widely varying scope and complexity and your work will directly impact the development of more inclusive products. We are a multi-disciplinary team that sits at the intersection of applied research and technical execution with high visibility, high impact, and enthusiastic support.
Responsibilities:
- Design, build, and run large-scale systems to evaluate the impact of machine learning models and algorithmic products on fairness in the labor market
- Quickly understand, reason about, and interact with diverse and complex machine learning training pipelines and production architectures to understand and diagnose potential sources of bias
- Develop bias and fairness measurements that map to varying legal and regulatory definitions and integrate them into large-scale, complex machine learning systems
- Partner with software engineering and implement solutions for fairness observability and intervention
- Research and develop methods that measure inequities in datasets, models, or products
- Partner closely with data scientists, product scientists, software engineers, product teams, security, privacy, legal, and other stakeholders to define and implement ethical data practices
- Translate complex, ambiguous questions into concrete analysis and action
- Communicate findings to diverse technical and non-technical stakeholders with differing perspectives and needs
Who You Are
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Requirements:- 7+ years of recent professional industry experience in data science/software engineering
- Expertise in machine learning and statistical modeling
- Excited to answer product/engineering questions with data
- Strong communication and collaboration skills
- Experience with and passion around mentorship
- Ability to write and present results to both technical and non-technical audiences
- Driven to proactively help their teammates and Indeed’s products
- Experience designing and conducting complex projects
- Strong ability to code in Python
- Have expertise within AI ethics, including algorithmic fairness, accountability, transparency, and privacy-enhancing technology
- Are familiar with recent developments in deep learning, especially in natural language processing, explainability and interpretability, and the intersection thereof
We get excited about candidates who:- Are passionate about diversity and inclusion in hiring
- Ph.D. or M.S. in a quantitative field (e.g., Quantitative Social Science, Computer Science, Statistics, Applied Mathematics, Physics, Machine Learning)
- Have experience working in the intersection of technology, society, and ethics
- Have expertise in labor market discrimination
- Have full stack experience in data collection, aggregation, analysis, visualization, productionization, and monitoring of data science products
- Are proficient in small data modeling work: Python, R, Julia, Octave
- Are proficient in big data modeling work: Hadoop, Pig, Scala, Spark
- Can fish for data: SQL, Pandas, MongoDB
- Deploy data science solutions: Java, Python, C++
- Communicate concisely and persuasively with technical and non-technical audiences
Who we are
We are a rapidly growing and highly-capable Engineering organization building the most popular job site on the planet. With engineering hubs in Seattle, San Francisco, Austin, Tokyo, Singapore, Hyderabad, Dublin, Aberdeen and Vancouver, we are improving people’s lives all around the world, one job search at a time.
Our Mission
As the world’s number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We’re looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers.
(*comScore Total Visits, September 2021)
Salary Range Disclaimer
The base salary range represents the low and high end of the Indeed salary range for this position. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range listed is just one component of Indeed’s total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), an open Paid Time Off policy, and many region-specific benefits.
Salary Range Transparency
Seattle 183,000 – 266,000 USD per year
Austin 164,000 – 238,000 USD per year
NYC Metro Area 179,000 – 259,000 USD per year
SF Bay Area 191,000 – 276,000 USD per year
US Remote 164,000 – 238,000 USD per year
Equal Opportunities and Accommodations Statement
Indeed is a proud equal opportunity employer. We are deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We are committed to creating an environment where all employees feel included and have a strong sense of belonging. All qualified applicants will be considered for employment without regard to race, color, religion, gender, gender identity or expression, family/marital status, refugee or immigration status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, veteran status, or any other non-merit based or legally protected grounds.
We encourage people from all backgrounds to apply and join us in our mission of helping people get jobs.Indeed is committed to providing reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please contact Talent Attraction Help at 1-855-567-7767, or by email at TAhelp@indeed.com at least one week in advance of your interview.
Fair Chance Hiring
We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals and individuals with arrest or conviction records, a fair chance at employment. We also comply with state and local requirements such as the San Francisco Fair Chance Ordinance.
Our Policies and Benefits
View Indeed’s Applicant Privacy and Accessibility Policies – https://www.indeed.com/legal/indeed-jobs
Learn about our global employee perks, programs and benefits – https://benefits.indeed.jobs/
Where legally permitted, Indeed requires all individuals attending or working out of Indeed offices or visiting Indeed clients to be fully vaccinated against COVID-19. For positions that can only be performed at an Indeed office, candidates must be fully vaccinated against COVID-19 and present acceptable proof of vaccination by the date of hire as a condition of employment. For positions that require some in-office work or in-person client meetings, exceptions to these in-office or in-person job requirements may be made at the discretion of the business through June 2022, at which point full vaccination will be required. Indeed will consider requests for reasonable accommodation as required under applicable law. To qualify as being fully vaccinated against COVID-19 there should have been a two week period after receiving the second dose (or any government recommended booster shot) in a 2-dose COVID-19 vaccine series, or a two week period after receiving a single-dose (or any government recommended booster shot) in a single dose COVID-19 vaccine.
Reference ID: 37253
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