Research Engineer Ml Signal Processing Jobs in New York

As our next Machine Learning Engineer you should have: 5+ years of industry experience building and deploying ML models to solve user problems at

No handoffs, no research team upstream, no data team downstream. You are both. You report to the CTO and work directly with both founders.

This is an engineering role, not a research role.

you built that other engineers actually chose to use, or that ran in production at meaningful scale Open-source work, technical writing, or research

The Opportunity Join our AI engineering team in the US to build the core intelligence behind our platform.

Responsibilities As a Senior Backend Engineer on the ML team at Tennr, you’ll bridge the gap between cutting-edge ML research and real-world product

As one of the first engineers in the NYC Engineering office, you'll join a small, nimble team building new products from the ground up.

Role We are seeking our 2nd ML Engineer to define and build Adaptive's ML capabilities.

ABOUT THE ROLE Research Engineers own the path from research idea to production system.

Below is what to expect in our interview process. ⸻ Intro Call (45 mins) This is a get-to-know-you call.

Work closely with Backend Software Engineers to implement ML-based solutions into production.

In the process, AI Research Engineers will run experiments, fine-tune models, deploy AI infrastructure, and build and maintain experimentation tooling.

You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work.

This role sits at the intersection of research and systems engineering, focusing on making advanced models faster, more efficient, and capable of ultra-low

tools, scientific software, or experimentation platforms Background in machine learning, AI research, or working closely with ML researchers