AI/ML Engineer

Latent AI

115d

About The Position

We’re looking for an experienced, hands-on ML/AI engineer (typically 5+ years of relevant experience, or a PhD with equivalent expertise) to join our team building the next generation of tooling for ML/AI on the edge.

Requirements

• 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: comfortable making autonomous progress, but thrive in a team environment.
• Growth mindset: curiosity, adaptability, and willingness to learn new approaches and tools.
• Fluency in Python and modern ML frameworks like PyTorch; familiarity with agentic AI frameworks is a bonus.
• Knowledge of 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.

Nice To Haves

• US citizenship preferred but not a requirement.
• Candidates based in NJ, NY or Washington DC are preferred.

Responsibilities

• Balance independence and collaboration: 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.
• Support the growth of others: share knowledge, mentor junior teammates, and help the whole team level up.
• Extend our technology and products for edge MLOps: create 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 documentation; raise reliability and developer experience across the stack.

What This Job Offers

• Career Level: Mid Level
• Number of Employees: 11-50 employees