Lead AI Researcher
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Before you apply
SalaryNo pay range posted
LocationMountain View
Work modeon-site
Typefull-time
SeniorityLead
DepartmentEngineering
Company size51–200 people
PostedSep 2, 2026 · 2mo ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
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
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
Familiarity with video-related models and systems
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
People management is a PLUS
Experience with consumer video, creator tools, recommendation/content systems, or other high-scale multimodal products
Distributed training infrastructure and inference optimization experience for self-hosted models
Familiarity with video-related models and systems: vision-language models, ASR/transcription, video understanding/reasoning/generation, and enhancement/upscaling
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.
Skills
AI
ML
LLMs
multimodal models
ASR
transcription
vision-language models
GPU
quantization
About the company
🎨 OpusClip 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 20 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 featuring our product and funding milestones, and our recognition as one of The Information’s 50 Most Promising Startups in 2024.
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!
About the role
We want to hire a hands-on Lead AI Researcher with strong technical depth. People management is a PLUS!
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.
•
Distributed training infrastructure and inference optimization experience for self-hosted models: including latency, throughput, GPU utilization, quantization, and serving cost.
•
Familiarity with video-related models and systems: vision-language models, ASR/transcription, video understanding/reasoning/generation, and enhancement/upscaling
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.