Senior/Staff Machine Learning Engineer
Remote within the United States
Applications have closed
We’re revolutionizing tech hiring by giving companies a skills-based hiring platform that allows them to effectively assess technical skills. We're a friendly, motivated, and passionate bunch looking for more smiling faces to join us. We’re growing fast and looking to add to our Engineering team. This position is Full-Time and Remote within the United States.
You are excited to make an impact and enjoy leveraging candidate interview data to build ML models that will enable building a world-class skills-based hiring platform.
You will be working on:
- Building Machine Learning models to predict candidate proficiency
- Work with the extended development team and cross-functional teams
We are looking for:
- 5+ years of experience in machine learning and data mining
- Proven experience both using and creating data analysis tools
- Experience with Hadoop/Spark, MapReduce/Bigtable
- Python
Nice to have:
- Ruby/Ruby on Rails
Benefits & Perks:
We have a full package of competitive benefits and perks which include:
- Medical, dental, and vision insurance for you and your dependents
- Unlimited paid time off, paid leave for new parents, and flexible work hours
- Employee stock options, 401(k) options, commuter benefits, and cell phone stipend
About HackerRank:
HackerRank is a Y Combinator alumnus backed by tier-one Silicon Valley VCs with total funding of over $58 million. The HackerRank Developer Skills Platform is the standard for assessing developer skills for 2,000+ companies across industries and 7M+ developers around the world. Companies like LinkedIn, Stripe, and Peloton rely on HackerRank to objectively evaluate skills against millions of developers at every step of the hiring process, allowing teams to hire the best and reduce engineering time. Developers rely on HackerRank to turn their skills into great jobs. We’re data-driven givers who take full ownership of our work and love delighting our customers!
HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment on the basis of individual performance and qualification. We never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
#LI-Remote
Tags: Bigtable Data analysis Data Mining Engineering Hadoop Machine Learning ML models Python Ruby Spark
Perks/benefits: Career development Cell phone stipend Equity Flex hours Flex vacation Health care Home office stipend Insurance Medical leave Unlimited paid time off
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