LatentView Analytics

AI/ML Engineer

LatentView Analytics

full-time

Posted on:

Origin:  • 🇺🇸 United States • District of Columbia

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Job Level

JuniorMid-Level

Tech Stack

PythonPyTorch

About the role

  • Balance independence and collaboration: you make quick, informed decisions on your own, but stay aligned with the team and company goals.
  • Value both agency and teamwork, and bring strong communication skills to keep collaboration productive.
  • Enjoy supporting the growth of others: sharing knowledge, mentoring junior teammates, and helping the whole team level up.
  • Extend our technology and products for edge MLOps: clean interfaces, reliable services, and ergonomics that make ML workflows fast and repeatable.
  • Build products that enable users to explore, assess, and improve training data quality at scale (e.g. embeddings, clustering, distillation).
  • Enhance automated MLOps pipelines with new models, optimization strategies, and evaluation methods to mine predictive signal from large experiment corpora.
  • Help evolve our agentic layer so customers can interact with the system naturally (query state, orchestrate runs, interpret results).
  • Ship production-grade code with strong CI/CD, tests, and docs; raise reliability and developer experience across the stack

Requirements

  • 2-3 years industry experience or PhD with equivalent expertise
  • Technical depth in ML/AI with a preference for computer vision and NLP
  • Proven contributions, whether in industry or academia, that moved innovative ideas closer to product
  • 2-3 years industry experience
  • Hands-on execution: the ability to design, build, and ship, not just theorize
  • Collaborative independence: you’re comfortable making autonomous progress, but you thrive in a team environment
  • Growth mindset: curiosity, adaptability, and willingness to learn new approaches and tools
  • Fluent in Python and modern ML frameworks like PyTorch; familiarity with agentic AI frameworks is a bonus
  • Know your way around CI/CD, automated testing, and documentation, and care about building robust systems
  • Familiarity with data science front-end/UI workflows to support quick demonstrations (streamlit, dash, gradio)
  • Track record of driving innovation from research or prototypes into production ready features or products
  • US citizenship preferred but not a requirement
  • Candidates based in NJ, NY or Washington DC are preferred