Senior Data Scientist - Candidate Recommendation at Indeed (Tokyo, Japan)
As the worlds number 1 job site, our mission is to help people get jobs. We need talented, passionate people working together to make this happen. We are looking to grow our teams with people who share our energy and enthusiasm for creating the best experience for job seekers.
We are a rapidly growing and highly-capable Engineering organization building the most popular job site on the planet. Every month, over 250 million people count on Indeed to help them find jobs, publish their resumes, process their job applications, and connect employers to qualified candidates for their job openings. With engineering hubs in Seattle, San Francisco, Austin, Tokyo, Singapore, Hyderabad and Vancouver, we are improving people's lives all around the world, one job search at a time.
The base salary range below represents the low and high end of the Indeed salary range for this position. Actual salaries will vary and may be above or below the range based on various 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, Long Term Incentives, an open Paid Time Off policy, and many region-specific benefits.
Tokyo Base Salary Range: 16,170,000 - 19,570,000 JPY per year
The Candidate Recommendation team builds machine learning models that recommend best-match candidates for jobs posted on Indeed. The teams mission is to build the worlds best AI matchmaker that can connect all jobs with the right jobseekers. To achieve this, the team leverages rich data on Indeed and works closely with teams in Tokyo, Austin, and Seattle to deliver recommendations. We use various techniques related to information retrieval, ranking, deep learning, and NLP, and our engine powers multiple major Indeed products. Also, we come from diverse backgrounds, spanning many nationalities from Asia, Europe, and the US.
You're someone who wants to see the impact of your work making a difference every day. You understand how to use data to make decisions and how to train others to do so. You find passion in the craft and are constantly seeking improvement and better ways to solve tough problems. You produce the highest quality Machine Learning solutions and lead others to do the same. You have high standards and will take pride in Indeed like we do as well as push us to be better. You have delivered challenging technical solutions at scale. You are equally happy talking about deep learning and statistical inference, as you are brainstorming about practical experimental design and technology career development. You love being in the mix technically while providing leadership to your teams.
As a Senior Data Scientist on the Candidate Recommendations team, you will:
Build highly scalable and performant recommendation systems and technologies that can identify best matches between millions of jobs and millions of job seekers in real-time
Experiment with POC ML model improvements, scale them to production, and run iterative AB experiments to improve our matching technology
Represent Indeed at major ML conferences like NeurIPS, ICML, and ICLR
Mentor and grow other software engineers, data scientists, and ML engineers across teams
Break down larger ML initiatives into pieces that deliver incremental business value and lead the team to execute on them
We are looking for someone who is passionate about designing and building machine learning systems, loves intellectual challenges, is eager to learn, and wants to work with a variety of technologies to "help people get jobs".
5+ years of industry experience as a Software Engineer, Data Scientist, or Machine Learning Engineer
Prior success deploying (impactful) Machine Learning solutions to large-scale production systems
Solid knowledge of data structures and algorithms
Strong sense of ownership as a technical and product leader
Excellent communication skills in English, both written and verbal with both technical and business audiences
We get excited about candidates who:
Have the desire to solve difficult problems at the intersection of machine learning, data engineering, and software engineering
Have extensive experience and knowledge with cloud technologies (AWS preferred)
Have search technology experience such as Lucene, Solr and/or Elasticsearch
Have prior success deploying Recommender Systems / Search Ranking / etc. to large-scale production systems
Have an advanced degree (PhD or MS) or prior research experience in the fields of machine learning, statistics, or computer science
Indeed provides a variety of benefits that help us focus on our mission of helping people get jobs.
View our bounty of perks:  http://indeedhi.re/IndeedBenefits
View Indeed's Applicant Privacy Terms:  https://www.indeed.com/legal/applicant-privacy
Equal Opportunities and Accommodations Statement
Indeed is deeply committed to creating a workplace and global community where inclusion is not only valued, but prioritized. Were proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neurodiversity, disability, age, or any other non-merit based or legally protected grounds.
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 +81 3 4563 2563, or by email at TAhelp@indeed.com at least one week in advance of your interview.
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