Senior Machine Learning Engineer, Semantic Knowledge

Employment Type

: Full-Time

Industry

: Manufacturing



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Course Hero is scaling!We are looking for a Senior Machine Learning Engineer who can help us build intelligent data products such as Semantic Knowledge Graph, Document Classification and Entity Tagging, and ML-powered Search and Recommender Engines.

You will be a part of the ML and Data Product Engineering team and will collaborate cross-functionally to build and ship intelligent products that are used by millions of Students and Educators. Data Products powered by ML are critical to Course Hero's success, powering many aspects of our marketplace and supporting student-facing use-cases. The key charter for the Data Products team is to build the Semantic Knowledge Graph in order to help personalize bespoke learning experiences for students and help educators create unique course content.

As a senior engineer, you will be expected to take the lead on multiple projects and be involved in every step of the process. We expect you to thrive in a fast-paced, high-growth environment, and adapt to ever-changing business needs. You can view these videos to learn more about our engineering culture, and our company mission.

Here are some ways you'll make an impact!

Be a self-motivated, bold thinker, innovator and builder of scalable AI/ML systems end-to-end and embrace full-stack data science

Design and develop machine learning and natural language processing algorithms to understand our large document (>30M) and Q&A (>10M) corpus, enrich it with semantic tags, and represent as a large knowledge graph

Work alongside experienced engineering, design, and product teams with proven entrepreneurial success, to find the right solution to a problem and ship intelligent products

Help engineers from other teams to understand and learn about machine learning and help Course Hero be a data driven company

Are you our next Senior Machine Learning Engineer?

4+ years of Machine Learning experience, preferably with a focus on natural language processing, question-answering, semantic search, and recommender systems

Experience using ML frameworks such as Tensorflow, SpaCY, or Scikit-Learn

Solid programming skills in Python, Go, or Java

Experience working with distributed data processing systems like Spark/Hadoop

Masters or PhD in machine learning, computer science, or computational linguistics

Bonus Points!

Deep understanding of algorithms and evaluation methods used in production-grade text understanding, question-answering, and relational learning systems.

Knowledge of search technologies like Solr, Elasticsearch

Docker and Kubernetes

Passionate about education

About Us:

At Course Hero, we have an awesome team and a truly engaging culture. We are customer-focused, collaborative, responsible, gritty and we love to learn. Our bold mission is to help students graduate confident and prepared!

We are not the only ones that think we're onto something big. Course Hero has been recognized as the 278th Fastest Growing Company in North America on Deloitte's 2019 Technology Fast 500 and also 2019's One of the Best Places to Work in the Bay Area by the Bay Area News Group. Read up on some of our recent news coverage, blog, and learn more about usto see what it is like to work with our team.

Benefits & Perks!

Competitive salary and stock options

Full medical coverage (medical, dental, vision)

401(k) program with match

Education Reimbursement

Quarterly team events and outings (Sporting Events, Escape Rooms, Go-Kart Racing, Karaoke, Bowling and much more!)

Free lunches twice a week, on-site cafe discount, plus an endless snack and drink supply

Onsite gym Pacific Shores Center Classes Pool Spa Rock Wall - Massages!

Commuter benefits, shuttle service from Redwood City, and cell-phone allowance

10K Local Move Program to move within 10 miles of our office

16 weeks of paid leave for maternity or paternity

8 hours per quarter paid time for volunteering for a cause of your choice

Front row seat to Master Educator lectures check out videos on our LinkedIn Career Page
Associated topics: application architect, back end, develop, expert, lead, perl, php, senior, senior software developer, software architect

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