AI Engineering Lead
OpusClip · On-site
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Job details
- Work model
- On-site
- Salary
- Not listed by source
- Location
- Mountain View
What the role asks for
What they're asking for
- Experience with consumer video, creator tools, recommendation/content systems, or other high-scale multimodal products is plus.SkillPreferred
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job description
🎨 OpusClip https://www.opus.pro is the world's No.1 AI video agent, built for authenticity on social media. We envision a world where everyone can authentically share their story through video, with no expertise needed. Within just 18 months of our launch, over 10 million creators and businesses have used OpusClip to enhance their social presence. We have raised $50 million in total funding and are fortunate to have some of the most supportive investors, including SoftBank Vision Fund, DCM Ventures, Millennium New Horizons, Fellows Fund, AI Grant, Jason Lemkin (SaaStr), Samsung Next, GTMfund, Alumni Ventures, and many more. Check out our latest coverage by Business Insider https://www.businessinsider.com/opusclip-softbank-vision-fund-2-funding-valuation-2025-3 featuring our product and funding milestones, and our recognition as one of The Information's 50 Most Promising Startups in 2024. https://www.linkedin.com/posts/yzopus_opusclip-has-been-recognized-by-the-information-activity-7255358200395243520-zhOz/?utm_medium=member_desktop&utm_source=share Headquartered in Mountain View, we are a team of 100 passionate and experienced AI enthusiasts and video experts, driven by our core values: - Be a Champion Team - Prioritize Ruthlessly - Ship fast, Quality Follows - Obsess over customers Be a part of this exciting journey with us! We want to hire a hands-on AI Engineering Lead with strong technical depth and some people-management experience. What we are looking for - Proven experience shipping AI/ML models from prototype to production at scale. - Deep expertise in model post-training, including fine-tuning, preference optimization, evaluation, and learning from user feedback. Experience building data flywheels that turn user behavior and feedback into training data and continuous model improvements. - Strong inference optimization experience for self-hosted models, including latency, throughput, GPU utilization, quantization, and serving cost. - Strong model evaluation skills, including offline benchmarks, human evaluation, online experiments, and product-quality metrics. - Practical experience applying LLMs or multimodal models to video applications, such as highlight detection, content curation, ranking, personalization, and editing decisions. - Familiarity with video-related models and systems, including but not limited to vision-language models, ASR/transcription, video understanding, and enhancement/upscaling, etc.. - Able to make build-vs-buy decisions across proprietary APIs, open-source models, and internally trained models. - Capable of setting the technical roadmap, reviewing architecture, mentoring engineers, and managing a small high-performing AI team. - Product-oriented and pragmatic: understands how to balance model quality, latency, reliability, and infrastructure cost. Nice to have - Experience with consumer video, creator tools, recommendation/content systems, or other high-scale multimodal products is plus. EEO OpusClip is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. OpusClip considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Opus Clip is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.
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