Senior Machine Learning Engineer, Plex

$100-160k

+ Stock options. Our compensation reflects the cost of labor across several US and Global geographic markets. The base pay for this position is applicable to our highest geographic market

SQL

Python

Tensorflow

PyTorch

Senior and Expert level

Remote from Canada, Europe, UK, US

More information about location

Movie & TV streaming platform

Open for applications

Movie & TV streaming platform

101-200 employees

B2CDigital MediaMedia

Open for applications

$100-160k

+ Stock options. Our compensation reflects the cost of labor across several US and Global geographic markets. The base pay for this position is applicable to our highest geographic market

SQL

Python

Tensorflow

PyTorch

Senior and Expert level

Remote from Canada, Europe, UK, US

More information about location

101-200 employees

B2CDigital MediaMedia

Company mission

To create a global community for streaming content that people can depend on to easily discover, experience, and share all of the entertainment that matters to them.

Job

Company

Role

Who you are

We are looking for a pragmatic, product-focused engineer with a passion for learning and an understanding of recommendation systems
You have at least 5 years of experience building machine learning systems in production
You have worked on recommendation systems in the past and understand some of the intricacies of them
You have a passion for learning and keep reasonably up to date with the literature in the machine learning space
You’ve owned user-facing production systems and dealt with all the headaches that involves
You have worked with python, pytorch (or tensorflow) and have a solid understanding of SQL
You aren’t afraid to get your hands dirty helping build data pipelines to get the data you need, or integrate your model into more traditional backend systems
You understand that not all problems require an ML-shaped hammer
You are kind, humble, helpful and enjoy getting stuff done
You are intrinsically motivated, able to manage your time, and enjoy working with a distributed team across the globe
You believe in asking for help and helping others when they ask, never throwing a problem over the wall
You are hungry to have an impact, continuously working to improve our product, process and push the team to be its best

What the job involves

As a Senior Machine Learning Engineer you’ll be responsible for driving forward personalization within Plex
You will take things from ideation to production by building and upgrading our recommender systems and optimizing existing models
This role also involves maintaining and improving the underlying tooling that allows us to serve machine learning models across the product
Your work will have a direct impact on our users, making it significantly easier for them to find and enjoy the content they're looking for
Build and upgrade our recommender systems
Maintain and improve our underlying tooling that lets us serve machine learning models across the product
Find areas of opportunity to drive the product forward with machine learning
Optimize and improve our existing machine learning models
You will take things from ideation all the way through to production systems that the company relies on

Application process

All final interviews will be in-person and onsite
We want and will encourage you to use AI for your role here at Plex should you join us! That said, AI use will not be accepted during the interview process. If we believe you are using AI during the interview process in the following ways, we will not move forward with you for the role
Application Materials - Using AI to assist in building your resume or cover letter is acceptable. However, we expect the application materials you submit to represent your qualifications and skills accurately. If we determine that these may have been misrepresented, we will not move forward
Virtual Interviews - Our interviews are designed to test your ability to demonstrate skills needed for the role you’re interviewing for. We seek to understand your interpersonal and collaborative abilities, and how that would translate into the job. We ask that you engage in our interviews without reading from or referencing AI-produced answers. If we detect that you are doing so without permission or advance disclosure, we will not move forward

Our take

As well as offering its own deep library of movies, series, and live TV channels, Plex has stepped up its product by turning into a single interface for all paid subscription services. If a user subscribes to Netflix, Apple TV, and Amazon Fire for example, they can search and access all these in one place.

Given the competition in the subscription streaming services market, as well as the common user pain points such as time waste while searching, this so-called “Discover” feature is seeing the company’s popularity soar. The fact that Plex is the first streaming company to do this serves as quite an advantage, but it may not be long until others follow suit.

Plex has been profitable since 2014, five years after the company’s launch, and has invested more recent funding into mass scaling. The rollout hasn’t been without its UX complaints, but if the company can smooth out these issues as it scales, it could enjoy a period of even more significant growth.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

49% employee growth in 12 months

Glassdoor (3.6)

Trustpilot (1.4)

Company

Funding (last 2 of 5 rounds)

Jan 2024

$40m

SERIES C

Feb 2022

$20m

LATE VC

Total funding: $86m

Company benefits

Monthly wellness stipend
Flexible paid time off
Paid parental leave
Hardware stipend
Flextime, work from anywhere
Comprehensive health insurance (medical/dental/vision) (US employees)
Stock options
401k (US employees)
Plex for the Planet community service opportunities

Company HQ

Los Gatos, CA

Leadership

Scott Olechowski

(CPO & Co-founder)

Was a co-founding advisor at plex before becoming Chief Product Officer in 2013. Served as a Manager of Business Development at both Cisco and PostX prior to this.

Keith Valory

(President & CEO)

Has been in their position since 2013. Prior experience includes COO with the founding team of Bracket Computing, and 4 years in Security at CISCO.

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