Skip to main content
Posted June 09, 2021
Linqia

ML Software Engineering Intern

Linqia
San Francisco, CA, USA ⚠ [Archived] No Longer Accepting Applicants

Linqia is the leader in the growing influencer marketing industry. At Linqia, we partner with the world's largest brands including Danonne, AB InBev, Kimberly-Clark, Unilever, and Walmart to build compelling and effective influencer marketing campaigns. Our AI-driven platform and team of experts are leading the transformation of influencer marketing.

We value intelligence, recognize talent and have instilled a culture that supports career development and growth for our employees. We thrive on innovation and accountability, with a customer first attitude that adds true value to everything we touch. Our team members are smart, hard-working, have integrity and love to have fun as we play to win. At Linqia, you'll be working with others who are passionate about marketing in a fun, fast-paced and data-driven environment.

The Role:

We are growing fast and looking for a talented machine-learning software engineering intern to join the engineering team this summer for a 3 month paid opportunity. The ideal candidate should be someone who is currently or just graduated with a relevant degree and has some knowledge of ML foundations. This is a great opportunity to work on an impactful project, while learning ML applications with Linqia's backend team. If you thrive in a fast-paced environment where you're surrounded by driven, passionate, and motivated people, then Linqia is the place for you!

Responsibilities:

  • Design and Develop Automation workflows for provisioning Software Infrastructure span
  • Design and Develop Microservices and Applications for Data Extraction, Information Retrieval and Data Analysis
  • Manage deployment and orchestration Infrastructure and related Automation (Apache Mesos, Kubernetes)
  • Manage and Deploy Distributed Queuing and Streaming platforms (Apache Kafka, Apache ActiveMQ)
  • Manage and Deploy Database Infrastructure (Relational and Non Relational)

Qualifications:

  • Currently pursuing or completed a B.S., M.S., or Ph.D in computer science, statistics, mathematics, electrical engineering, machine learning, or related technical field
  • Python, Java, Shell Scripting
  • Hands-on experience with machine learning, data mining, natural language processing or statistics
  • Experience with Data Analysis and Machine Learning Libraries like Pandas, Gensim, Pytorch, TensorFlow, etc.
  • Experience with Source Control Management esp. Git
  • Ability to effectively communicate technical concepts to other team members.
  • Familiarity with Agile software development processes
  • Very good understanding of Relational Databases and SQL
  • Very good understanding of Linux/Unix platforms and System Tools.

Nice to Have:

  • Masters or PHD in computer science or other technical related field.
  • Experience working and writing automation workflows for AWS, Google Cloud Platform or other cloud infrastructure
  • Experience deploying, configuring and managing Queuing Systems
  • Experience deploying, configuring and managing Non Relational Databases
  • Experience with Microservice based infrastructure.
  • Experience with Software Infrastructure Automation and tools such as Ansible, Puppet, Docker

This position description is intended to describe the duties most frequently performed by an individual in this position. Linqia is an equal opportunity employer supporting workforce diversity. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.

Headhunters and recruitment agencies may not submit resumes or candidates through this Web site or directly to employees. Linqia does not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.