AI/ML Engineer

LatentView Analytics

full-time

Posted on: 8/30/2025

Location: District of Columbia • 🇺🇸 United States

✨ AI Apply

JuniorMid-Level

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

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