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Internship Machine Learning Startup Jobs in Florida

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Machine Learning Engineer

Pembroke Pines, FL · On-site

Machine Learning Engineer SynthBee is seeking a Machine Learning Engineer who can take AI models ... Proven experience building and deploying AI applications (ideally in a startup or fast-moving ...

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Internship Machine Learning Startup information

What is the difference between Internship Machine Learning Startup vs Data Science Intern?

AspectInternship Machine Learning StartupData Science Intern
Required CredentialsBasic programming, statistics, coursework in MLSimilar; often includes coursework in data analysis and statistics
Work EnvironmentFast-paced startup, collaborative teamsVaries; startups or corporate settings, collaborative
Industry UsageCommon in tech startups focusing on AI/ML productsWidespread across tech, finance, healthcare
Search & Comparison IntentInterested in ML-specific roles in startupsLooking for data analysis or data science internships

Internship Machine Learning Startup roles focus on applying ML techniques in startup environments, often requiring programming and statistical skills. Data Science Internships may encompass broader data analysis tasks across various industries. Both roles share similar credentials and work environments, but ML internships are more specialized in machine learning applications within startups.

What are the most commonly searched types of Machine Learning Startup jobs in Florida? The most popular types of Machine Learning Startup jobs in Florida are:
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Machine Learning Engineer

Machine Learning Engineer

Navstar

Pembroke Pines, FL • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Machine Learning Engineer

SynthBee is seeking a Machine Learning Engineer who can take AI models from research to production—integrating agentic AI systems into our product. This role is engineering-focused, working alongside a research counterpart to build and deploy real-world AI automation tools. This is an ideal role for a generalist who has built AI applications before and has strong intuition for AI—especially in deploying AI powered applications and AI agents. At SynthBee we're building Collaborative Intelligence™ maximizing the potential of people and computers working together. CI™ will help humans solve the most important scientific, engineering, design, and creative challenges of our time. And create joy in the process.

What You'll Do

  • Develop AI-driven reasoning agents and frameworks for automating complex tasks.
  • Build and optimize RAG (Retrieval-Augmented Generation) pipelines
  • Distill and fine-tune AI models to improve reasoning, automation, and decision-making.
  • Deploy AI models into scalable, production-ready systems using Python and cloud-based infrastructure.
  • Collaborate closely with researchers to operationalize AI advancements into real applications.

What We're Looking For

  • Proven experience building and deploying AI applications (ideally in a startup or fast-moving environment).
  • Hands-on expertise with agentic frameworks (e.g., AutoGen, CrewAI, LangChain, DSPy, or Haystack).
  • Strong background in AI-powered automation & orchestration workflows.
  • Experience working with vector databases and retrieval systems (e.g., LlamaIndex, FAISS, Pinecone, Weaviate).
  • Some experience with fine-tuning AI models is a big plus, but not required.
  • Solid coding skills in Python, familiarity with cloud deployment tools (AWS, GCP, or Azure).

Who Should Apply?

You've built AI-powered applications—at a startup, in open-source projects, or in a side hustle. You're excited about agentic AI and building autonomous workflows that solve real problems. You want to be part of a small, fast-moving team where your work directly impacts the product. You're comfortable with ambiguity and love figuring things out in a fast-paced startup.

Apply