Machine Learning Infrastructure Engineer


2 months ago

09/02/2019 10:21:23

Job type: Full-time

Hiring from: US or Canada

Category: Software Dev

Cortex is an open-source machine learning deployment platform. We believe that machine learning should be a core competency of every engineering organization. Our goal is to help engineering teams build better machine learning systems faster.

We are a VC-backed startup founded by infrastructure engineers with backgrounds from Google, Illumio, and the Berkeley ASPIRE Lab. We are looking for thoughtful and ambitious people to join our founding team.

What you'll do:

  • Play an integral role in architecting, building, and maintaining our product

  • Build and deploy scalable, reliable, and secure machine learning infrastructure

  • Design and implement workflows to make machine learning engineers more productive

  • Help us define our technical roadmap and our engineering culture

You have experience in:

  • Designing and building distributed systems

  • Working with DevOps tools such as Docker and Kubernetes

  • Cloud infrastructure (AWS / GCP)

Please mention that you come from Remotive when applying for this job.

Help us maintain Remotive! If this link is broken, please just click to report dead link!

similar jobs

  • dataroots (European timezones)
    Today is building an end-to-end platform that brings fast, secure and regulatory compliant AI deployment to our customers' doorstep.

    We are currently looking to grow our time with three Golang engineers with a focus on back-end development. As a Golang developer you will play an important role in building out the foundation of this new platform.

    You get

    • the opportunity to work on a state-of-the-art Golang-based stack

    • the possibility to work from anywhere

    • the satisfaction of working on a technically-challenging (B2B) product

    • a no-nonsense work environment with passionate and smart colleagues

    • a unique opportunity to be an important contributor in a fast-growing, ambitious startup

    Sounds awesome? Then apply now! If you have any questions in the meantime don’t hesitate to contact Bart via [email protected] or via phone at +32 471 72 31 22.



    • are a technical allrounder with a sound knowledge of Golang, cloud services or a strong proven ability to rapidly pick up new languages/frameworks

    • believe in the Twelve-Factor App principles

    • are familiar with the principles of machine learning

    • keep close track of technical developments and know your way around the open source community

    • like to share your technical know-how with colleagues and clients

    • are fluent in English

    • are located in a European timezone

  • 1 week ago

    We are at the forefront of creating the latest FinTech category and we are rapidly expanding our team. We’re looking for a Senior Python Engineer to work on our Data Science team.

    Company Overview

    Tesorio is a high-growth, early-stage startup backed by some of the Bay Area’s most prominent Venture Capital firms (First Round, Floodgate, Y Combinator) and the world’s top finance execs (e.g. the ex-CFO of Oracle, the ex-CFO of Yahoo, and the founder of Adaptive Insights).  

    We build software that applies proprietary machine learning models to help manage a core problem that all Mid-Market businesses face: managing, predicting, and collecting cash. As we’ve taken this solution to market over the last 18 months, we’ve been able to bring on some great clients like Veeva Systems, Box, WP Engine, Rainforest QA, and many more. 

    Tesorio’s Cash Flow Performance platform is a sought after solution for the modern-day CFO’s toughest problems. Companies such as Anaplan have successfully tackled forecasting revenues and expenses, however, no other system has been built from the ground up to help companies understand the complexities around cash flow and take action to optimize the core lifeblood of their business.

    What’s in it for you?

    • Remote OK (Western Hemisphere) or work out of an awesome office with all the perks.

    • Almost all of Engineering and Data Science work fully remote and we work hard to make sure remote employees feel a part of the team.

    • Fast paced environment where you have an impact.

    • Work with some of the best and brightest (but also very humble).

    • Fast growing startup backed by top tier investors - Y Combinator, First Round Capital, Floodgate, Fathom.


    • Tackle a wide variety of technical problems throughout the data science stack and contribute daily to all parts of our code base.

    • Work directly with the Data Science team to assist in building out the ecosystem for bringing models into production.

    • Build and organize production workflows to bring data and the outputs of models into the hands of our users.

    • Coordinate with the product team to ensure data integrity and continued proper integration.

    • Create test suites for all aspects of production data science modeling and backends.

    • Guide team in organizational best practices regarding data intensive systems.

    Required Skills

    • Has 4+ years of work experience.

    • Expert level proficiency in Python.

    • Ability to write high performance code.

    • An interest in machine learning (No professional experience required).

    • Is resourceful and a fast learner.

    • Insatiable curiosity and ability to solve problems without established solutions.

    • Excited to be working in a fast-paced environment with a small and talented team.

    Nice to have

    • Worked with machine learning in the past

    • Has built data science production environments

    • Example work that has been open sourced in the Python community

    • Experience with large-scale data processing tools: Spark, Dask, or others.

    Data Science at Tesorio

    • Data science and machine learning is core to the Tesorio product and drives much of the product decisions.

    • Focused on shipping new models/predictions rather than academic discussions.

    • Tight integration with the Product Engineering team so that when things are built, they go directly into the product.

    • We are building many automated processes to enable rapid iteration.

    Note: we currently cannot sponsor visas.

  • Summary

    The Wikimedia Foundation is growing its Machine learning efforts. This an opportunity to be part of the team that builds and maintain machine learning technologies to empower millions of users – readers, contributors, and donors – who contribute to Wikipedia and its sister projects on a daily basis. We address process inefficiencies with machine learning technologies, we design and test new technology, we produce empirical insights, and we publish and present research of the intersection of technology and culture. We are strongly committed to principles of transparency, privacy, and collaboration. We use free and open source technology and we collaborate with external researchers and our volunteer community.

    We are looking for an experienced Engineering Manager to help build features that enable our communities to achieve our Vision: a world in which every single human being can freely share in the sum of all knowledge. As an Engineering Manager, you will support engineers building features, products, and services used by hundreds of millions of people around the world. This is an opportunity to do good while improving one of the best known sites in the world.

    We’d like you to do these things:   

    • Partner closely with other teams and departments across the Wikimedia Foundation to define and experiment with machine learning products. These could be brand new feature offerings in Wikipedia or augmentation of existing workflows

    • Review and advice in code changes made by team

    • Represent team members within the organization and Wikimedia community

    • Support and coach your team members in the development of their career paths

    • Recruit and hire new team members

    We’d like you to have these skills:

    • Multiple years of experience in leading software engineering teams and managing complex projects.

    • Practical experience with machine learning, natural language processing or information retrieval in products that have been launched to production.

    • Excellent analytical and problem solving skills. Familiarity with statistics.

    • Significant experience working with data infrastructure and distributed systems at scale.

    • Experience with both scripting and compiled languages in a Linux/Unix server environment, some of: Python, PHP, Java, Javascript, C, Scala

    • Excellent verbal and written communication skills

    • BS in Computer Science or other relevant technical field or the equivalent in related work experience.

    And it would be even more awesome if you have this:

    • Previous experience working on a large, mature, open source project

    • Experience working with a geographically distributed software engineering team

    • Experience with open source software development

    • Contributing to the Wikipedia or Wikimedia project communities

    • Show us your stuff! If you have any existing open source software that you or teams you have lead have  developed (these could be your own software or patches to other packages), please share the URLs for the source. Links to GitHub,GitLab, BitBucket, Presi, YouTube, Medium, etc. are especially useful.

    The Wikimedia Foundation is... 

    ...the nonprofit organization that hosts and operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge, free of interference. We host the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive. The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive financial support from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.

    The Wikimedia Foundation is an equal opportunity employer, and we encourage people with a diverse range of backgrounds to apply

    U.S. Benefits & Perks*

    • Fully paid medical, dental and vision coverage for employees and their eligible families (yes, fully paid premiums!)

    • The Wellness Program provides reimbursement for mind, body and soul activities such as fitness memberships, baby sitting, continuing education and much more

    • The 401(k) retirement plan offers matched contributions at 4% of annual salary

    • Flexible and generous time off - vacation, sick and volunteer days, plus 19 paid holidays - including the last week of the year.

    • Family friendly! 100% paid new parent leave for seven weeks plus an additional five weeks for pregnancy, flexible options to phase back in after leave, fully equipped lactation room.

    • For those emergency moments - long and short term disability, life insurance (2x salary) and an employee assistance program

    • Pre-tax savings plans for health care, child care, elder care, public transportation and parking expenses

    • Telecommuting and flexible work schedules available

    • Appropriate fuel for thinking and coding (aka, a pantry full of treats) and monthly massages to help staff relax

    • Great colleagues - diverse staff and contractors speaking dozens of languages from around the world, fantastic intellectual discourse, mission-driven and intensely passionate people

    *Eligible international workers' benefits are specific to their location and dependent on their employer of record

Remotive can help!

Not sure how to apply properly to this job? Watch our live webinar « 3 Mistakes to Avoid When Looking For A Remote Startup Job (And What To Do Instead) ».

Interested to chat with Remote workers? Join our community!