AI Engineering Lead

Posted 2 Days Ago
Be an Early Applicant
Mountain View, CA, USA
In-Office
280K-380K Annually
Entry level
Artificial Intelligence • Digital Media • Software
The Role
Lead AI engineering efforts from model development through production deployment. Optimize inference latency, throughput, GPU utilization, quantization, and serving costs; design evaluation systems and data flywheels using user feedback. Apply LLMs and multimodal models to video understanding, curation, ranking, personalization, and editing. Set technical roadmaps, review architecture, mentor engineers, manage a small AI team, and balance quality, reliability, latency, and infrastructure cost.
Summary Generated by Built In

🎨 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 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 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!

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.

Skills Required

  • 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 convert 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 vision-language models, ASR/transcription, video understanding, and enhancement/upscaling
  • Ability to make build-versus-buy decisions across proprietary APIs, open-source models, and internally trained models
  • Ability to set technical roadmaps, review architecture, mentor engineers, and manage a small high-performing AI team
  • Product-oriented and pragmatic approach to balancing model quality, latency, reliability, and infrastructure cost
  • Experience with consumer video, creator tools, recommendation/content systems, or other high-scale multimodal products
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Palo Alto, California
102 Employees
Year Founded: 2022

What We Do

OpusClip is the #1 AI video clipping and editing tool that turns a long video into social-ready shorts with one click. Trusted by over 12 million creators and businesses, we envision a world where everyone can authentically share their story through video, with no expertise needed.

Similar Jobs

In-Office
San Francisco, CA, USA
72000 Employees
173K-345K Annually

PwC Logo PwC

AI Solutions Engineering Delivery Lead

Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Remote or Hybrid
66 Locations
370000 Employees
123K-123K Annually
Hybrid
3 Locations
289097 Employees
In-Office
3 Locations
8926 Employees
211K-352K Annually

Similar Companies Hiring

Kepler  Thumbnail
Artificial Intelligence • Fintech • Software
New York, New York
9 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees
Revel.io Thumbnail
Aerospace • Hardware • Robotics • Software
US
50 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account