At Ople, we use AI to build AI

 

At Ople, we believe that Artificial Intelligence should be easy, cheap and ubiquitous. Our founder Pedro Alves asked a question, “How can I become a better data scientist?” Quickly realizing that he was learning by observing how algorithms learn from processing different models, Pedro recognized that many data scientists would benefit from AI that mimics this behavior of learning to learn to learn. Hence, Ople was born.

Centrally located in Silicon Valley, we are a diverse team of world-class data scientists, machine learning experts, engineers and market makers. We strive to change data science and revolutionize businesses across industries.

To fulfill our vision,

  • We listen and collaborate: Everything is open for discussion, and we work as one team.
  • We seek the right answer, not to be right: We make mistakes, and we keep learning.
  • We expect to lead: We speak up and are respectful.

We are curious individuals who relentlessly challenge ourselves. We are never satisfied. If you are this passionate about advancing the field of data science and enjoy learning, join us now!

Current Open Roles

Principal Architect

As a Principal Architect, you will have a great opportunity to improve current Ople products and drive the architecture behind future products.

Requirements:

  • 3+ years as a Lead/Chief Architect working on enterprise software
  • Proficiency in developing very large distributed systems
  • Experience with ML algorithms at scale and distribution of highly computationally expensive workloads
  • Experience with API design and microservice architecture
  • Experience with data-intensive distributed systems
  • 5+ years experience with AWS cloud (another cloud (Azure, GCP) providers is plus)
  • Expertise in Infrastructure automation through DevOps scripting
  • Expertise in Configuration management using Ansible, Terraform
  • Track record of extraordinary achievements in the industry of big data & cloud computing
  • Strong verbal and written communication skills
  • Ph.D./MS in Computer Science
  • Strong management and leadership skills
  • Familiarity with a Data Science process and ML modeling lifecycle

What you'll do:

  • Lead the technical design, vision and implementation strategy for major systems & components of Ople products
  • Build and own critical parts of the services and deliver to production
  • Ability to articulate the design and code choices to cross-functional teams
  • Ability to mentor and guide a high performing team
  • Reviewing and providing feedback on features, technology, architecture, designs, time & budget estimates, and test strategies
  • Managing projects, mitigating risks & creative problem solving
  • Developing and evolving engineering and business processes to optimize team efficiency

Lead Software Engineer

Requirements:

  • Bachelor’s Degree in Computer Science or a related field (Master’s Degree preferred) or equivalent experience
  • 8+ years of hands-on software development experience
  • Expertise with Python
  • Experience with ML algorithms at scale and distribution of highly computationally expensive workloads
  • Experience with API design and microservice architecture
  • Experience with AWS cloud (another cloud (Azure, GCP) is plus)
  • Experience in Infrastructure automation through DevOps scripting and Jenkins
  • Experience in Configuration management using Ansible, Terraform
  • Experience with data processing and big data
  • Strong understanding of computer science fundamentals including data structures, algorithms, and Object-Oriented design
  • Familiarity with a Data Science process and ML modeling lifecycle

What you'll do:

  • Help implement a technical design for major systems & components of Ople products
  • Build and own critical parts of the services and deliver to production
  • Articulate the design and code choices to cross-functional teams
  • Mentor and guide a small team
  • Review and provide feedback on features, technology, architecture, designs, time & budget estimates, and test strategies

Data Scientist

Responsibilities:

  • Understand Ople’s AI platform, so you can think of new ways we can leverage AI and data science to expand/improve on the platform
  • Create procedures to track the platform’s performance over time

Requirements:

  • Need to be physically present at the office
  • Driven and passionate about data science
  • Basic python, Jupiter notebooks, pandas, and numpy
  • Machine learning experience
  • Statistics

Don't see what you are looking for but you want to join? Drop us a line and we will get back in touch.

Tell us a little about yourself, and why you are awesome!

Got a question?