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Machine Learning Specialist

Job in Nashville, Davidson County, Tennessee, 37247, USA
Listing for: Alphabetski
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

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.

THE ROLE

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.

RESPONSIBILITIES
  • 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
REQUIREMENTS
  • 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
NICE TO HAVE
  • 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
WHY JOIN ALPHABET SKI
  • 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
TO APPLY

Send your resume, portfolio or Git Hub, and a brief note on why you want to build with us to:

#J-18808-Ljbffr
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