We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.)
For Israel-based positions, we encourage working from our Saarona, Tel Aviv office a few days a week, meeting your colleagues, and having a flexible work environment.
Our Mission:
To actively connect people to their next great opportunity.
Who We Are:
ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects job seekers with millions of businesses of all sizes through innovative mobile app, web, and email services, as well as partnerships with the best job sites on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.
Summary of Job
ZipRecruiter is changing the way job seekers get hired and how small businesses manage their HR. Our R&D center in Tel Aviv offers an empowering, fun and collaborative culture where talented individuals who think like business owners and entrepreneurs are invited to join our growing team.
We use models and algorithms of machine-learning and deep-learning to find candidates for a job, and get the job information to reach the candidate as quickly as possible to allow the employer to reach the best candidates in the least possible time.
We are looking for a curious and self-driven ML Engineer with a strong passion for exploring the latest advancements in machine learning and Generative AI. You should enjoy tackling complex problems with clean, efficient code and have the skills to independently design and build end-to-end ML pipelines.
Key focuses:
- Build infrastructure to empower fellow engineers and data scientists to build together best-in-class machine-learning based products
- Working in a high volume production environment that gets bigger and bigger
- Mastering scalability and enterprise-grade production services implementation
- Sense of ownership - leading design for new products and initiatives as well as integrating with currently implemented best-practices
- Working with a number of off-the-shelf tools including Spark, Airflow, Kafka, DynamoDb, SQS, S3, Athena
- Collaborating and working as part of a highly skilled team that enjoys doing the impossible together every day
Minimum Requirements:
- At least 3+ years of coding experience with at least one of the following: Java, Python, Scala.
- Experience in algorithm design and implementation or Machine learning
- End to end experience - owning feature from an idea stage, through design, architecture, coding, integration and deployment stages
- Experience with one or more of these technologies Spark, MapReduce, Airflow, Kafka, Key/Value Stores like DynamoDB, SQL DB’s, SQS
- Dealing with data on high volume, high availability production systems
- Fluent with SQL
- Bachelor’s degree or higher in Computer Science or equivalent professional Software Engineering experience
- Cloud - AWS, Azure, Google Cloud - an advantage
As part of our team you’ll enjoy:
- Competitive salary
- Exceptional benefits package
ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics.
Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice
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What We Do
ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as partnerships with the best job boards on the web. We're growing rapidly in pursuit of this mission, and we're always looking for talented people to join our team. Visit ziprecruiter.com/careers to view our open roles.
Why Work With Us
We are committed to nurturing an environment where every person feels welcomed, valued, heard, and respected. We embrace and encourage our employees’ differences, and we consistently review our overall equality—including recruitment and selection, compensation and benefits, promotions, and more—to stay relevant in this space.
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