Engineering Manager, Machine Learning

Job not on LinkedIn

January 29

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

💵 $360k - $440k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

👮‍♀️ Software Engineering Manager

🦅 H1B Visa Sponsor

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Runway

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Artificial Intelligence • Media • Entertainment

Runway is an applied research company advancing the frontiers of art, entertainment, and human creativity through artificial intelligence. It builds cutting-edge tools such as Gen-3 Alpha, which offers high-fidelity, controllable video generation, and Frames, an image generation model with extensive stylistic control. The company is pioneering general-purpose multimodal simulators and is deeply involved in creative industries, exemplified by its partnership with Lionsgate and its Runway Studios initiative which produces films, documentaries, and other media. Additionally, Runway hosts creative dialogues and an AI Film Festival, demonstrating its commitment to exploring the relationship between creativity and AI.

11 - 50 employees

Founded 2018

🤖 Artificial Intelligence

📱 Media

💰 $50M Series C on 2022-12

📋 Description

• Lead a talented ML team and keep pushing the boundaries of AI-based content creation • Develop and deploy state-of-the-art machine learning systems to production • Work weekly with leadership and the engineering team as a whole to review and set priority around goals • Build a team of skilled engineers from diverse backgrounds

🎯 Requirements

• 2+ years of experience in a team lead or engineering manager role • 4+ years of industry experience in an engineering and/or research role • Strong background building impactful and novel machine learning projects, ideally with expertise in large scale, distributed training • Experience training diffusion models or LLM's from scratch • Solid knowledge of at least one machine learning framework (e.g. PyTorch, Tensorflow) • Empathetic and inclusive leadership style • Ability to rapidly prototype solutions and iterate on them with tight product deadlines • Strong communication, collaboration, and documentation skills