Senior ML Engineer - Remote AI Research & Production

Placements24; United States; Remote; USD 150.000 - 210.000; Vollzeit

Benefits dieser Stelle

Highly competitive salary and stock + 

Comprehensive health, dental, and visn

Flexible working hours and fully remot

Professional development budget (confs

Work on cutting-edge AI research with

Home office setup stipend and tech "

Paid time off and company holidays

Retirement savings with company match

Zusammenfassung

Placements24 is seeking a Senior Machine Learning Engineer for a fully remote role. You will design, implement, and optimize state-of-the-art ML models across NLP, CV, and analytics, collaborating with researchers and engineers from a distributed team.

You will lead research into new ML techniques, build scalable pipelines, and mentor junior engineers while delivering production-ready systems in a remote-first environment.

Qualifikationen

• Master's or PhD in CS/ML/AI or related field.
• ≥5 years of professional ML engineering or research.
• Proven track record deploying ML models to production.
• Strong Python and ML framework experience (TensorFlow, PyTorch, Keras).

Aufgaben

• Design and implement advanced ML models across NLP, CV, and analytics.
• Research new ML techniques and contribute to novel AI solutions.
• Build scalable ML pipelines for data prep, training, evaluation, and deployment.
• Optimize models for performance and accuracy in production.
• Collaborate with researchers, data scientists, and engineers to ship systems.
• Mentor junior engineers and contribute to remote team excellence.

Kenntnisse

Python

ML deployment

Distributed teamwork

Problem solving

Communication

Ausbildung

Master's or PhD in Computer Science, Machine Learning, AI, or related field

Tools

TensorFlow

PyTorch

Keras

Git

CI/CD

Cloud platforms (AWS, GCP, Azure)

Jobbeschreibung

Placements24 is seeking a Senior Machine Learning Engineer for a fully remote role. You will design, implement, and optimize state-of-the-art ML models across NLP, CV, and analytics, collaborating with researchers and engineers from a distributed team.

You will lead research into new ML techniques, build scalable pipelines, and mentor junior engineers while delivering production-ready systems in a remote-first environment.