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Member of Technical Staff, Research Engineer
Location
United States + 180 moreAll locations: United States, Canada, Brazil, Colombia, Argentina, Chile, Venezuela, Bolivarian Republic Of, Bolivia, Plurinational State Of, Ecuador, French Guiana, Guyana, Paraguay, Peru, Suriname, Uruguay, Mexico, Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua, Panama, Dominican Republic, Puerto Rico, Bahamas, Guadeloupe, Haiti, Jamaica, Martinique, Montserrat, United Kingdom, Germany, France, Estonia, Portugal, Hungary, Poland, Ukraine, Romania, Bulgaria, Czech Republic, Slovakia, Belarus, Moldova, Republic Of, Sweden, Greece, Belgium, Italy, Ireland, Switzerland, Netherlands, Finland, Malta, Denmark, Lithuania, Croatia, Spain, Austria, Bosnia And Herzegovina, Iceland, Luxembourg, Macedonia, The Former Yugoslav Republic Of, Montenegro, Norway, Serbia, Slovenia, Albania, Cyprus, Latvia, Monaco, South Africa, Egypt, Algeria, Angola, Benin, Botswana, Burkina Faso, Burundi, Cameroon, Cape Verde, Central African Republic, Chad, Congo, Côte D'ivoire, Congo, The Democratic Republic Of The, Equatorial Guinea, Eritrea, Ethiopia, Gabon, Gambia, Ghana, Guinea, Guinea-bissau, Kenya, Lesotho, Liberia, Libyan Arab Jamahiriya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Senegal, Seychelles, Sierra Leone, Somalia, Sudan, Swaziland, Tanzania, United Republic Of, Togo, Tunisia, Uganda, Zambia, Zimbabwe, Georgia, Turkey, Israel, United Arab Emirates, Armenia, Azerbaijan, Bahrain, Iraq, Jordan, Kuwait, Lebanon, Oman, Qatar, Saudi Arabia, Palestinian Territory, Occupied, Yemen, India, Japan, Philippines, Pakistan, Thailand, Singapore, Viet Nam, Taiwan, Province Of China, Indonesia, Cambodia, Lao People's Democratic Republic, Malaysia, Myanmar, Korea, Republic Of, China, Afghanistan, Bangladesh, Bhutan, Kazakhstan, Kyrgyzstan, Maldives, Mongolia, Nepal, Sri Lanka, Tajikistan, Turkmenistan, Uzbekistan, Australia, Papua New Guinea, Kiribati, Palau, French Polynesia, Tuvalu, New Zealand
Posted
65 days ago
Salary
$270K - $370K / year
Job Description
Role Description
We’re looking for Machine Learning Engineers who can help us build new multimodal AI systems for media generation. The ideal candidate for this role has a combination of strong engineering skills, extensive experience working on machine learning projects, and thrives in a fast-paced, high-ownership environment.
What you’ll do
- Develop innovative research projects in computer vision, focusing on generative models for image and video
- Work with a world-class engineering team pushing the boundaries of content creation on the browser
- Collaborate closely with the rest of the product organization to bring cutting-edge machine learning models to production
Qualifications
- 5+ years of relevant engineering or research experience in machine learning, computer vision and/or graphics
- Solid knowledge of at least one machine learning framework (e.g. PyTorch, Tensorflow)
- Very strong programming skills and ability to write clean and maintainable research code
- Deep interest in building human-in-the-loop systems for creativity
- Ability to rapidly prototype solutions and iterate on them with tight product deadlines
- Strong communication, collaboration, and documentation skills
Requirements
- Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team.
- Salary range: $270,000-$370,000
- There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team.
- The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description.
- Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
Benefits
- We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed.
- So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
Company Description
- Universal World Simulator
- GWM-1
- Gen-4.5
- General World Models
- Robotics SDK
- Conversational Real-time Agents
- Runway Studios
- We're excited to be recognized as a best place to work
- Crain's
- InHerSight
- BuiltIn NYC
- INC
Job Requirements
- 5+ years of relevant engineering or research experience in machine learning, computer vision and/or graphics
- Solid knowledge of at least one machine learning framework (e.g. PyTorch, Tensorflow)
- Very strong programming skills and ability to write clean and maintainable research code
- Deep interest in building human-in-the-loop systems for creativity
- Ability to rapidly prototype solutions and iterate on them with tight product deadlines
- Strong communication, collaboration, and documentation skills
- Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team.
- Salary range: $270,000-$370,000
- There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team.
- The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description.
- Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
Benefits
- We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed.
- So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
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