Machine Learning Specialist
Listed on 2026-02-16
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Alphabet ski Ventures is a venture studio that builds, operates, and scales technology companies. Our flagship products are Vedit
X — a two-sided marketplace connecting creators with professional video editors — and Vedit AI, our native cloud-based video editing platform powered by machine learning. We move fast, think in ecosystems, and value ownership and leverage over short-term gains.
We are looking for a Machine Learning Specialist to design, build, and deploy intelligent systems at the core of Vedit AI — our cloud-based video editing platform. You will work directly with the founder to develop ML-powered editing capabilities that automate and enhance the video production workflow, from intelligent scene detection and auto-editing to AI-driven color grading, audio enhancement, and content-aware transformations.
You will also integrate ML into Vedit
X’s marketplace to power talent matching, quality scoring, and smart recommendations. This is not a research-only position. You will ship production ML systems that directly impact the product experience and drive revenue.
- Design and build ML-powered video editing features for Vedit AI’s cloud-based platform, including auto-cut, scene detection, smart transitions, AI color grading, and audio enhancement
- Develop and train computer vision and video understanding models for content-aware editing, object tracking, and automated highlight generation
- Build NLP and speech-to-text systems for automated captioning, transcript-based editing, and intelligent content tagging
- Create and optimize recommendation and matching algorithms for Vedit
X’s marketplace to connect creators with the right editors - Design data pipelines for processing, storing, and serving video and audio data at scale within the cloud editing platform
- Implement real-time and near-real-time ML inference pipelines optimized for cloud-based video workflows
- Develop quality scoring and automated review systems to maintain high standards across the Vedit
X marketplace - Collaborate with the founder and engineering team to identify high-impact ML features that differentiate Vedit AI from competitors
- Monitor model performance, retrain as needed, and maintain production ML infrastructure
- Stay current with advancements in generative AI, video synthesis, and applied ML to keep our platform on the cutting edge
- 3+ years of hands-on experience building and deploying ML models in production environments
- Strong proficiency in Python and ML frameworks (PyTorch, Tensor Flow, scikit-learn, or similar)
- Experience with computer vision, video/image processing, or multimedia ML applications
- Familiarity with cloud platforms (AWS, GCP, or Azure) and scalable ML infrastructure
- Experience building APIs and integrating ML models into web applications
- Comfortable working with LLM APIs (OpenAI, Anthropic, etc.) and prompt engineering
- Understanding of real-time inference, model optimization, and latency-sensitive deployments
- Self-starter who thrives in fast-paced, resource-constrained startup environments
- Experience with video understanding models, temporal segmentation, or generative video AI
- Background in cloud-based media processing pipelines (FFmpeg, GStreamer, or similar)
- Familiarity with marketplace or platform ML (matching algorithms, search ranking, quality scoring)
- Experience with MLOps tools (MLflow, Weights & Biases, Kubeflow)
- Interest in the creator economy, media production, or video editing workflows
- Equity participation — we believe in ownership, not just paychecks
- Direct access to the founder — no bureaucracy, no red tape
- Build the ML engine behind a next-generation video editing platform
- Remote-first culture with flexibility and autonomy
- Ground-floor opportunity at a venture studio designed for exponential growth
Send your resume, portfolio or Git Hub, and a brief note on why you want to build with us to:
#J-18808-Ljbffr(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).