Member of Technical Staff, Runway

Machine Learning

$165-210k

React
AWS
Kubernetes
TypeScript
Redux
GCP
Python
Node.js
Tensorflow
Azure
PyTorch
Mid and Senior level
Remote in US
Runway

AI-powered creativity tools

Job no longer available

Runway

AI-powered creativity tools

101-200 employees

B2CRetailB2BEnterpriseContentMachine LearningSaaSVideo

Job no longer available

$165-210k

React
AWS
Kubernetes
TypeScript
Redux
GCP
Python
Node.js
Tensorflow
Azure
PyTorch
Mid and Senior level
Remote in US

101-200 employees

B2CRetailB2BEnterpriseContentMachine LearningSaaSVideo

Company mission

To ensure that anyone anywhere can tell their stories.

Role

Who you are

  • Solid knowledge of at least one machine learning research framework (e.g. PyTorch, Tensorflow), and at least one high-performance inference framework (e.g. TensorRT, Apache TVM)
  • Experience profiling and optimizing deep neural networks, including knowledge of GPU profiling tools such as NVIDIA Nsight
  • Familiarity with Python-based image and video manipulation/encoding/decoding frameworks, such as OpenCV and PyAV
  • Experience with cloud orchestration systems such as Kubernetes and cloud providers such as AWS, GCP, and Azure
  • Ability to write robust and maintainable client-server architectures and APIs
  • Ability to rapidly prototype solutions and iterate on them with tight product deadlines
  • Strong communication, collaboration, and documentation skills
  • The ideal candidate for this role has a combination of strong engineering skills, extensive experience working on machine learning projects, and thrives in fast-paced, high-ownership environment

What the job involves

  • We’re looking for a Machine Learning Engineer who can help us build new multimodal AI systems for media generation
  • Work with a world-class engineering team pushing the boundaries of content creation on the browser
  • Collaborate with our research team to deploy state-of-the-art computer vision models to production
  • Improve the performance and efficiency of our machine learning deployments

Otta's take

Xav Kearney headshot

Xav Kearney

CTO of Otta

Runway is revolutionizing content creation and video editing with machine learning, harnessing the expansive capabilities of web-based tools. At the forefront of this transformation, the startup offers a suite of AI-powered editing tools tailored for designers, artists, and creators, setting itself apart in an industry dominated by enterprise-focused software solutions.

The company has rapidly gained recognition among some of the world's largest brands, including R/GA, New Balance, Google, and IBM, by appealing directly to creative professionals. This approach has not only solidified Runway's position in the market but also facilitated its integration into the design curricula of esteemed institutions such as NYU, RISD< and MIT.

In a testament to its growing influence and success, Runway achieved unicorn status in 2023 following a landmark $100M funding round, which valued the company at $1.5BThis milestone not only reflects investor confidence but also positions Runway to expand its innovative tools and further democratize access to advanced video editing capabilities globally.

Insights

Top investors

Some candidates hear
back within 2 weeks

112% employee growth in 12 months

Company

Funding (last 2 of 6 rounds)

Jun 2023

$141m

SERIES C

Dec 2022

$50m

SERIES C

Total funding: $238.5m

Company benefits

  • 100% medical, dental, and vision coverage: We cover 100% of medical, dental and vision for our US employees AND their dependents. Based on the plans selected, we have complimentary mental health benefits and a free One Medical membership
  • Unlimited days of PTO: We have unlimited PTO with a minimum of 15 days a year. We also have a paid sabbatical program after employees have been with Runway for 3 years and again after 5 years. And of course, we can't forget about Summer Fridays
  • 401k Matching, 3% matching: Plan for the future! We provide a 3% 401K match for our US based employees
  • Remote $250 stipend: All of our employees outside of commuting distance to the office, can expense up to $250 per month on co-working spaces, lunch or groceries, and internet connection
  • Donations supporting our community: Beyond our employees, we have a commitment to our communities. Every quarter, Runway employees choose an organization for the company to support through a donation
  • Custom setup, tech setup stipend: In addition to the choice of laptop, all employees get a stipend to customize their tech set up as they want
  • Parental leave for all parents: We offer 16 weeks of fully paid parental leave plus a gradual return to work plan. This coverage is for all parents, regardless of how a child is brought into the family
  • L&D $600 stipend: We’re investing in our employees’ long term growth by giving every employee $600 per year to spend on their personal or professional development. That means conferences, courses, and books, oh my!
  • Wellness $600 stipend: We set ambitious goals and work hard to achieve them, so we believe it’s important to invest in employees’ mental and physical health. The $600 annual wellness stipend can be used for anything from therapy sessions to gym memberships

Company values

  • Invent the future: We believe that the best way to predict the future is to invent it. Optimize for the long-term
  • Relentless optimism: Building impossible things is hard. We are optimistic about a future where moving creativity forward is not only possible, but inevitable
  • Try fast, learn fast: Our success will depend on how fast we learn. Trial and error. Rinse and repeat. Stay humble and learn something every day
  • Solve with care: Our product is a mirror of our values

Company HQ

Civic Center, New York, NY

Founders

Trained as a Backend Engineer, they have held roles at Zocdoc, Chartbeat, and Quantcast as well as working as a Machine Learning Researcher in Computer Vision for IBM.

Previously co-founded Deenty, an online booking platform for dentist appointments.

Worked as a Researcher at New York University from 2018 to 2019. Also spent time as a Professor at the UAI School of Design.

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